Constructing a corpus of parallel sentence pairs is an important work in building a Statistical Machine Translation system. It impacts deeply how the quality of a Statistical Machine Translation could achieve. the mor...
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this paper investigates the problem of scheduling discretely divisible applications in highly heterogeneous distributed platforms which deploy modern desktop systems with limited memory as computing nodes. We propose ...
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In this paper, we propose an Enhanced *** et al.9;s Scheme (EMHS) for privacy-preserving association rules mining on horizontally distributed databases. EMHS is based on the *** et al.9;s Scheme (MHS) proposed i...
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the cloud computing paradigm moves data across administrative domains to be managed by various outsourced database (ODB) service providers. there needs a means for a data owner to verify the correctness and completene...
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Web computing is a variant of parallelcomputing where the idle times of PCs donated by worldwide distributed users are employed to execute parallel programs. the PUB-Web library developed by us supports this kind of ...
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the paper presents a concept and an implementation of dynamic learning of compatibilities of services used in a workflow application. While services may have the same functionality, they may accept input and produce o...
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ISBN:
(纸本)9783642314995;9783642315008
the paper presents a concept and an implementation of dynamic learning of compatibilities of services used in a workflow application. While services may have the same functionality, they may accept input and produce output in different formats. the proposed solution learns matching of outputs and inputs at runtime and uses this knowledge in subsequent runs of workflow applications. the presented solution was implemented in an existing workflow execution system - BeesyBees.
In this paper, BTW, a new method for similar case search, is presented. the main objective is to optimize the metrics employed in classical approaches in order to obtain an intense compression in the data and a determ...
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In this paper we present PCJ - a new library for parallel computations in Java inspired by the partitioned global address space approach. We present design details together withthe examples of usage for basic operati...
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this demo will demonstrate implementation of a secured EMR (Electronic Medical Record) system that can be used by Physicians, Nurses, Patient Care Technician and Dietician in a Dialysis Center setting. Although substa...
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ISBN:
(纸本)9781467324335;9781467324328
this demo will demonstrate implementation of a secured EMR (Electronic Medical Record) system that can be used by Physicians, Nurses, Patient Care Technician and Dietician in a Dialysis Center setting. Although substantial work has been done for applications using a desktop browser, only few operations have been implemented on mobile devices. the line between the native and web application development does not have to be crystal clear and there could be a third model which is gradually evolving in creating a hybrid application that could combine strengths of boththe native and web technology. the EMR set up consisting of an iPod, an iPhone and a desktop browser and shown in Figure 1, provides a workflow for a patient coming for a dialysis treatment, accounts for Patient Demographics, track orders written by Physicians, keep current intake of medications and sends notifications to Physicians and Nurses on record updates. All modules have numerous functions such as add, edit and view. We show the user's login following patient's demographics screen in Figure 2 and Figure 3 respectively. the top-level menu items consist of Patient, Search and E-sign modules. Figure 3 shows the “Add Patient” option from the menu. Once the patient is served, the user can search for a specific patient and get an extended menu items as shown in Figure 4. these menu items include editing a patient, add/edit physician's and standing orders, add/edit home and in-center medications. Once the patient extended information has been saved, the patient is ready for a dialysis treatment. A complete workflow for the treatment is captured withthe workflow module as illustrated in Figure 5.
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