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Nowadays, research and development for optimal setting control (OSC) of complex industrial processes is becoming a hot topic. However, there is no configurable software for OSC design. In this paper, a novel software platform is proposed. The major superiority is that it not only integrates intelligent and data-driven mainstream algorithms within a unified framework, but also provides a powerful controller...
Failure mode, effects analysis (FMEA) is widely recognized and applied in different fields, such as aviation, aerospace, automotive industries. And later FMEA has been extended to other industries, such as electronics, medical and so on. For key products, FMEA is an indispensable part in reliability analysis. However, many products are newly researched and developed, with high integrated level and...
Automatic gender recognition has been becoming very important in potential applications. Many state-of-the-art gender recognition approaches based on a variety of biometrics, such as face, body shape, voice, are proposed recently. Among them, relying on voice is suboptimal due to significant variations in pitch, emotion, and noise in real-world speech. Inspired from the speaker recognition approaches...
With the increasing popularity of wearable devices, information becomes much easily available. However, personal information sharing still poses great challenges because of privacy issues. We propose an idea of Visual Human Signature (VHS) which can represent each person uniquely even captured in different views/poses by wearable cameras. We evaluate the performance of multiple effective modalities...
Volunteered Geographic Information (VGI) and Crowdsourcing are kinds of acquisition modes of geographic information, as well as information production and dissemination way with the development of information technology applications. In this paper, on the basis of analyzing application of VGI and crowdsourcing modes on disaster information management system, the disaster information management system...
Summarizing and understanding video shot based on their contents is an important research topic in multimedia data mining. People tend to search their interested shots from a plenty of videos and many algorithms are used in this field. The algorithm based on histograms is one basic technology of existing methods, however, traditional histograms have the limit on similarity measurement and usually...
Statistically motivated approaches for the registration and tracking of non-rigid objects, such as the Active Appearance Model (AAM), have become increasing popular by virtue of their fast and efficient modeling and alignment, but typically they require tedious manual annotation of training images. In this paper, a regression based approach for the automatic annotation of profile face image from a...
Providing efficient query to XML documents is crucial, as XML has become the most important technique to exchange data in WWW. Due to its tree-structure paradigm, XML is superior for its capability of storing and querying complex data. Therefore, discovering frequent XML query patterns over user queries has become an interesting topic for XML data management. In this paper, we present an efficient...
This paper proposes a new hand-held device application that incorporates an RFID with monitoring system with a fuzzy-rule-based inference into a hand-held device. The designed process follows: firstly, the machine status is displayed in the monitoring system, and when the machine has some problems, PDA users are informed; then, the PDA users can obtain information from the tags by PDA reader and use...
The east cost of China is a disaster-prone area of storm surge due to its position on the western Pacific coast. The threat to the region's economy and personnel induced by the natural disaster has made it a necessity to investigate means of mitigating the loss. Research on urban storm surge disaster contingency plans generation for personnel evacuation, especially in the area of marine disaster prevention...
We developed a framework for constraint routing in multi-domain optical network which combines PCE with service plane. With the distributed routing computation characteristic of PCE and the adaptability of service plane for service attributes, the framework provides an optimal SLA-based constraint routing strategy. Experiment results verify our framework and strategy.
Tracing the location of a specific item has induced abundant applications with the development of wireless sensor networks. In past years, different location algorithms have been proposed for indoor or outdoor environments. Some of these use additional equipments, such as GPS [1-3], Infrared [4], and Ultrasound [5]. However, these equipments will increase the power consumption and system cost. In...
The emergence of new social media such as blogs, message boards, news, and Web content in general has dramatically changed the ecosystems of corporations. Consumers, non-profit organizations, and other forms of communities are extremely vocal about their opinions and perceptions on companies and their brands on the Web. The ability to leverage such "voice of the Web" to gain consumer, brand,...
A healthy and sustainable development of aquaculture requires an accurate forecast of aquatic product prices. This paper presents an experiment with a Web-based application to perform product price prediction. It integrates three key technologies: automatic data extraction algorithms to retrieve aquatic product prices from various related Websites, attribute-oriented induction algorithms to capture...
A generalized declarative constraint framework is proposed in this paper to address challenges of applying constraints to model-driven SOA deployment and configuration. By representing deployment metamodel and domain knowledge as patterns, constraints can be easily described, automatically validated and analyzed. This framework reduces the human-intensiveness and error-proneness in the activity of...
The ability to scientifically and accurately forecast product price fluctuations plays a crucial role in the development of the contemporary market economy and consequently results in vigorous research in the area. This paper presents a new forecast method using multi-granularity of time and case-based reasoning (CBR) with fuzzy matching of cases featuring certain fluctuations. The method has been...
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