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A substantial number of de-identified healthcare big databases have recently become available, where they are mostly used separately to approach domain-specific research problems. However, if integrated, the databases will become richer and more beneficial for secondary use in healthcare services and solutions research and will facilitate doing research on a broader range of healthcare research projects...
Head-related transfer functions (HRTFs), which reflect the interaction between sound waves and human anatomical structures, are core of virtual auditory environments (VAEs). To achieve authentic VAEs, individual HRTFs need to be incorporated in signal synthesis. Accurately measuring HRTF-relevant anthropometric parameters is important in the anthropometry-based HRTF customization method which is regarded...
The CSNS (China Spallation Neutron Source) RCS (rapid cycling proton synchrotron) RF (Radio Frequency) remote control system is a DCS (distributed control system) system based on the EPICS (Experimental Physics and Industrial Control System). This system is used to remotely control and monitor the accelerating cavities and their accessory equipments of the rapid cycling proton synchrotron (RCS) for...
Lexicons are important resources for semantic tagging. However, commonly used lexicons collected from entity databases suffer from multiple problems, such as ambiguity, limited coverage and lack of relative importance. In this work we present a lexicon modeling technique that automatically expands the lexicon and assigns weights to its elements. For lexicon expansion, we use a generative model to...
When digging association rules among items, the items are dealt in an equal way. However, it is usually not happen in databases in the real world. Different items always have different importance. To reflect them, The way of draw weight into items and use weight association rules can solve the problem. But weighted association rules arithmetic of these research based on Apriori arithmetic at the present,...
Nowadays, more and more databases are distributed in networks. To produce knowledge with the databases, traditional data mining technology should be developed in model, algorithm, strategy, etc. The popular distributed data mining (DDM) systems are introduced and classified into three classes: DDM systems based on parallel data mining agents, DDM systems based on meta-learning, and DDM systems based...
Mitochondria are a vital organelle of eukaryotic cells. Many diseases are caused by the mitochondrial gene mutation , therefore, there is an urgent requirement to explore the proteins of mitochondrion. In this paper we have created a list of 1086 human mitochondrial genes by combining 13 datasets from publications or genomic experiments. Then we created a functional linkage network among mitochondrial...
PlaPID (Plant Protein Interaction Database) is a searchable database for protein-protein interactions in plants. It associates high-confidence information derived from published literatures and several databases. PlaPID aims to provide a reference and upgradeable database through comprehensive web services for studying plant protein interactions. The PlaPID database is freely accessible at http://www...
Aiming at the current situation and existing problems of irrigation district information management, the principle of work flow technology was introduced and the design of irrigation district management information system framework based on workflow technology was proposed. According to the specifications of work flow management system reference model, the Irrigation district management information...
There exist an increasing number of online databases searchable only through query interfaces. Meta-queriers with an integrated query interface are a practical solution to effective searching of information from multiple data sources. The diversity of user demands and their frequent changes necessitate the need for dynamic and personalized meta-queriers. This paper presents a mapping management system,...
Although statistical process control (SPC) provides statistical techniques and graphical displays control charts to enable the quality of process to be monitored and special causes of process variability to be eliminated, this technology has been not all well applied in enterprises. The main reason is the process adjusting decision may be hard to determine according to the knowledge of the operators...
Recently, periodic pattern mining from time series data has been studied extensively. Existing studies on periodic patterns mining mainly consider discovering full periodic patterns from an entire time series. However, partial periodic patterns are more useful in practice since only some of the time episodes may exhibit periodic patterns. This paper aims to discover the partial periodic pattern in...
Rules are the basis of decision-making in the combat simulation execution. In event driven mode, when a certain event occurs, many rules are chosen and bring in different results in combat simulation process. Analyses the representation and execution of production rules, studies the rule priority based reasoning, defines two kinds of rule priority, default priority and user defined priority. It presents...
A novel automatic R peak detection algorithm that is based on EMD (empirical mode decomposition) and adaptive threshold technique is presented. The R peaks are then identified by computing the first threshold and applying a set of adaptive thresholds that are not limited to a strict range. The proposed algorithm was able to detect R peak with high sensitivity when compared to other algorithms used...
Notice of Violation of IEEE Publication Principles"A Local Segmented Dynamic Time Warping Distance Measure Algorithm for Time Series Data Mining"by Xiao-Li Dong, Cheng-Kui Gu, Zheng-Ou Wangin the Proceedings of the Fifth International Conference on Machine Learning and CyberneticsAfter careful and considered review of the content and authorship of this paper by a duly constituted expert...
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