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Qualitative trend analysis (QTA) is an effective tool for process data analysis, the applications of which can be found in a variety of fields, such as process monitoring, fault diagnosis, and data mining. Reliable and accurate trend extraction of sensor data is the first and indispensable step in QTA. In this article, a new trend extraction algorithm is developed that is based on global optimization...
Convolutional Neural Networks (CNNs) have become the state-of-the-art in various computer vision tasks, but they are still premature for most sensor data, especially in pervasive and wearable computing. A major reason for this is the limited amount of annotated training data. In this paper, we propose the idea of leveraging the discriminative power of pre-trained deep CNNs on 2-dimensional sensor...
In this paper we present textile-based surface pressure mapping as a novel, unobtrusive information source for activity recognition. The concept is motivated by the observation that the vast majority of human activities are associated with certain types of surface contact (walking, running, etc. on the floor; sitting on a chair/sofa; eating, writing, etc. at a table; exercising on a fitness mat, and...
Configuration bugs are one of the dominant causes of software failures. Previous studies show that a configuration bug could cause huge financial losses in a software system. The importance of configuration bugs has attracted various research studies, e.g., To detect, diagnose, and fix configuration bugs. Given a bug report, an approach that can identify whether the bug is a configuration bug could...
Research on link based object ranking attracts increasing attention these years, which also brings computer science research and business marketing brand-new concepts, opportunities as well as a great deal of challenges. With prosperity of web pages search engine and widely use of social networks, recent graph-theoretic ranking approaches have achieved remarkable successes although most of them are...
The most important issue in personalized services is how to build a proper user model for individual user. Extracting user interests is an essential question, which attracts many researchers' investigation. But most of them don't consider enough the history of user behaviors. This paper proposes a method to extract user interests from user behavior history and document information, so called Behavior...
Pattern theorem in financial time-series is one of the most important technical analysis methods in financial prediction. Recent researches have achieved big progresses in identifying and recognizing time-series patterns. And most of the recent works on time-series deal with this task by using static approaches and mainly focus on the recognition accuracy, but considering that recognition of patterns...
This paper describes the design of an observer-based gain-scheduling controller for the flight of an unmanned helicopter. Two linear quadratic integral controllers are designed for the linear models of the helicopter which is linearized in two operating points. Then the observer-based schedule controller is implemented, which is a linear fractional transformation between a fixed controller and a scheduling...
The classical description logic SHOIN, as the logical foundation of OWL DL, is less suitable to represent fuzzy knowledge in the Semantic Web. We introduce cut concepts and cut roles to SHOIN, and present extended fuzzy description logic EFSHOIN. We define the representation of EFSHOIN, and focus on the knowledge base consistency as main reasoning task. We also propose a reasoning algorithm for the...
UML is a standard for object-oriented modeling. Since the majority of real world information is uncertain and vague, fuzzy UML has been presented. Analogous to UML, fuzzy UML is semi-formed. In order to solve this problem, this paper attempts to formalize fuzzy UML class diagrams with fuzzy description logics, mainly with focus on formalization of elements in fuzzy UML class diagram and applying this...
The goal of this research was the design and implementation of the inverted indexing used into the semantic Web service discovery search model (SWSDSM) in order to find the target services in a quick, accurate and efficient way. Recent research has demonstrated the potential benefits of the inverted indexing. The inverted indexing greatly accelerates the filtering of irrelevant atomic services. The...
This paper describes a novel maximum power point tracking (MPPT) control method suitable for a doubly salient electro-magnetic wind power generator (DSEG) system with fixed-pitch blades. The method quickly makes the output power converge on the maximum power point based on wind speeds detected from an anemometer. Different wind speeds correspond to their respective optimal rotational speeds that generate...
Object-oriented (OO) software techniques gradually replace procedure-oriented programming as the mainstream in software industry, but the cost of test and maintenance of OO software does not reduce. In this paper we propose a novel technique using the profile and UML state diagrams with FP criteria. The novel technique is that all classes in a system are divided into different grades according to...
The component service in Web service composition may fail or degrade in QoS thus needs to be replaced. In this paper, we propose a novel approach for services replacement of the composition. The target service could be replaced individually, or it could be replaced with its related services in the composition as a whole by a more complex service. In this way, far more choices will be available to...
The emergence of the semantic Web has given rise to several researches on semantic integration of heterogeneous relational databases using ontology. This paper studies the query rewriting problem in such an integration scenario. RDFpsilas graph model lends itself well to expressing relational data. To model the relational schema, we propose a data source describing method based on SPARQL graph patterns...
Social networking sites like Flickr , Youtube and Del.icio.us have been rapidly gaining popularity on the Internet, underscoring a transformation of the Web to a participatory medium in which users are actively creating, evaluating and distributing information. With this process, social tagging systems, which allow users to interactively annotate a pool of shared resources using descriptive tags,...
The paper presents a fault diagnosis algorithm for rectification circuit in doubly salient electro-magnetic wind generator system. The laws of excitation current both in normal condition and fault conditions were analyzed in detail. And it classified the faults (within 2 diodes faults) as 7 patterns or 22 faults states according to distortion laws of excitation current. Taking 24/16 poles doubly salient...
Matrix converter has low voltage transfer ratio, especially those with non-sinusoidal output. The research of matrix converters driving BLDC (brushless DC) motors with rectangular phase current is found only in one paper. But the voltage transfer ratio (UPN/2Uim, UPN is the equivalent output DC voltage, i.e. the leg-leg voltage of BLDC, and Uim is the peak input phase voltage, which is different from...
Video annotation is very important for video management, such as video retrieval. Despite continuous efforts in inventing new annotation algorithms, the annotation performance is usually unsatisfactory, and the annotation vocabulary is still limited due to the use of a small scale training set. In this paper, a novel video annotation framework based on the video object is presented, named object-based...
This paper firstly inquired the categories of knowledge on dam safety monitoring expert system and the knowledge acquisition process. Secondly, it not only analyzed knowledge representation about dam safety monitoring expert system, that is, factual knowledge, rule knowledge and procedure knowledge, but also established a simple knowledge base based on relational database for dam safety monitoring...
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