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Molecular biomarkers are important and commonly used as classification features for detecting function performances of target genes and distinguishing characteristics of different species or strains. As expeditious development in Next Generation Sequencing technologies, whole genome sequencing delivers a comprehensive view and new insights for novel species. However, utilization of whole genome sequences...
Grouper is one of the most important aquaculture fish in the world. Due to high density of grouper farming, the aquaculture industry is threatened by iridovirus infections in recent years. In this study, we used next-generation sequencing technologies to analyze gene differential expression of groupers infected by two different types of iridoviruses, including Grouper Iridovirus of Taiwan (TGIV) of...
Radio Frequency Identification (RFID) is a radio communication technique. It identifies specific targets and acquires related data from the backend database by using radio frequency signal and no physical touch needed. Because of its advantages of low cost and remote identity recognition, RFID has been widely used in many applications. In 2011, Bassil et al. proposed an RFID authentication protocol...
Biodiversity is commonly used to measure the degree of variation of life forms and health conditions within an area or ecosystem. However, reckless human behaviors and dramatic climate changes inevitably cause species extinction. It is therefore important and urgent to establish genetic databases worldwide for preserving precious genome sequences of diversified organisms and perhaps restoration for...
This paper presents a reading annotation and knowledge sharing tool, which can annotate a web page with HTML format archived by the Taiwan libraries' history digital library based on Web 2.0 technologies. The developed reading annotation and knowledge sharing tool can provide benefits in terms of accumulating and sharing knowledge of readers who cooperatively participate in reading or learning processes...
In the past, the utilization of the limb prosthesis has improved the daily life of amputees or patients with movement disorders. However, a leg-amputee has to take a series of training after wearing a limb prosthesis, and the training results determine whether a patient can use the limb prosthesis correctly in her/his daily life. This work proposes a prosthesis training system to allow the amputees...
Recently more and more public biological pathway databases support at least one standard pathway format, e.g. PSI-MI, BioPAX and SBML, accessible from either FTP downloads or HTTP downloads. These standard pathway formats are machine readable and are often used for pathway integration and aggregation as well as visualization, analysis, but they are not well-suited for unassisted comprehension and...
Since BitTorrent (BT)-like P2P applications ignore the underlying Internet topology and Internet Service Providers (ISPs) link costs which may lead to huge unnecessary traffic on the Internet and inefficient network resources usages, many locality-based approaches have been proposed to mitigate such stress on ISPs. However, most of these approaches have paid very limited effort to the geographical...
With the extensive applications of FFT in digital signal processing and image signal processing which needs a extensive application of large-scale computing, it Become more and more important to improve parallelism, Efficient and Scalable parallel of FFT algorithm. This paper Improve the parallelism of the FFT algorithm based on the Six-Step FFT algorithm, And build up a framework Based on Grid, Through...
The key of electric power Enterprise Information Portal (EIP) is data integration. Based on the analysis of ETL (Extraction-Transformation-Loading) technology, this article designs an electric power EIP integration system, which offers a uniform interface for different databases in the electric power system, achieving data exchange and share.
This paper aims to develop a multi-user Web Content Annotation System by ways of a tree structure to facilitate in-depth discussion. Apart from annotating systems like hand written notes and labeling stickers, learners can focus on specific topics or terminologies, publish (answers) questions or opinions, initiate discussions on annotations made by others, and make re-annotations through a tree structure...
Today, many bio-signals such as Electroencephalography (EEG) are recorded in digital format. It is an emerging research area of analyzing these digital bio-signals to extract useful health information in biomedical engineering. In this paper, a bio-signal analyzing cloud computing architecture, called BACCA, is proposed. The system has been designed with the purpose of seamless integration into the...
The distance education technology specifications resolve certain issues for distance education resources such as lacking interoperability and reusability in the teaching platform. This article aims to design a distance teaching system based on the analysis of the "Runtime Environment Model" in the notable SCORM specification. The teaching system provides an interoperable platform for sharable...
Inspired by recent discovery that human disease phenome shows a modular organization on the genetic landscape, we introduce a network-module based method towards phenotype-genotype association inference and disease-gene identification. This approach integrates protein-protein interaction network, phenotype similarity network and known phenotype-genotype associations, and then decomposes the resulted...
Developing location-based services (LBSs) on mobile devices can convey location related information to individual users, thus helping users obtain useful and adaptive information using mobile devices with small screen. Based on the requirement, this study proposes an intelligent location-based service system which can provide local news with summarization to personal handheld PDA (personal digital...
The algorithm gets corner sets from palmprint images using a customized Harris method. Then apply distance and orientation features to interconnect the corner points with lines and optimize the result. Fuzzy blocks are used to increase the match probability in the recognition algorithm. The algorithm chooses different filter windows to influence the result corner sets. Then integrating with distance...
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...
In Web-based cooperative learning environments, peer-to-peer interaction often suffers from the difficulty due to lack of exploring useful social interaction information, so that peers cannot find appropriate learning partners to make an effective cooperative learning. This problem easily results in poor learning outcomes in Web-based cooperative learning environments. Generally, learning partners...
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...
Real-time information dissemination is of increasing importance to our society. Existing work mainly focuses on delivering information from sources to sinks in a timely manner based on established subscriptions, with the assumption that those subscriptions are persistent. However, the bottleneck of many real-time information dissemination systems is actually the matching process to continuously reevaluate...
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