Monitoring every single email takes a lot of effort especially when the size of email transaction log is very large. This study proposed to find a wise option to monitor only the contents of important emails. Depth Fi...
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A microfluidic lab-on-a-chip Coulter counter was demonstrated to count micro particles and leukocytes from whole blood. Instead of electroplated or deposited metal electrodes, off-the-shelf gold pins were used as elec...
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ISBN:
(纸本)9781424441198
A microfluidic lab-on-a-chip Coulter counter was demonstrated to count micro particles and leukocytes from whole blood. Instead of electroplated or deposited metal electrodes, off-the-shelf gold pins were used as electrodes to simplify fabrication process, reduce cost, enhance device durability, and above all, achieve superior uniformity in E-field distribution for improved signal quality. A custom-designed, low-cost demodulation circuit was developed to detect the AC impedance signals of the particles and cells passing the detection area defined by the microfluidic channels. A mixture of polystyrene beads with three different sizes was used to characterize the device. The results showed high throughput at 2000 particles/s and clear separation among different sizes of beads with coefficients of variation (CV) of 13.53%, 10.35% and 5.67% for 7.66μm, 10.5μm and 14.7μmbeads, respectively. To demonstrate the potential for a point-of-care or self-administered device for cancer patients going through chemotherapy, we have used the lab-on-a-chip device to count leukocytes from whole blood, generating encouraging preliminary results comparable to the results from a commercial flow cytometer.
Automated agents for electricity markets, social networks, and other distributed networks must repeatedly interact with other intelligent agents, often without observing associates' actions or payoffs (i.e., minim...
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A specialization system is an axiomatic structure for specifying a set of atomic formulas and a set of specialization operations on them. This paper formalizes the concept of logical structure and presents three basic...
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In this paper, we describe the concept and design of a novel visualization tool to aid in academic writing of English as a Second Language students. The tool makes use of theory in classroom discourse, WordNet API, an...
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In this paper we consider the problem of clustering snippets returned from search engines. We propose a technique to invoke semantic similarity in the clustering process. Our technique improves on the well-known STC m...
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In this paper we consider the problem of clustering snippets returned from search engines. We propose a technique to invoke semantic similarity in the clustering process. Our technique improves on the well-known STC method, which is a highly efficient heuristic for clustering web search results. However, a weakness of STC is that it cannot cluster semantic similar documents. To solve this problem, we propose a new data structure to represent suffixes of a single string, called a Semantic Suffix Net (SSN). A generalized semantic suffix net is created to represent suffixes of a set of strings by using a new operator to partially combine nets. A key feature of this new operator is to find a joint point by using semantic similarity and string matching; net pairs combination then begins at that joint point. This logic causes the number of nodes and branches of a generalized semantic suffix net to decrease. The operator then uses the line of suffix links as a boundary to separate the net. A generalized semantic suffix net is then incorporated into the STC algorithm so that it can cluster semantically similar snippets. Experimental results show that the proposed algorithm improves upon conventional STC.
in the paper, we analyze and study the status character in detail which a rotor of some rotating mechanism exist in some different fault types and different fault strengths. The research result shows that a fault roto...
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In the current era of technology,the Internet and web technologies become the center source of *** to the huge amount of contents,one of the main challenges of modern informationtechnology is aimed at how to reduce a...
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In the current era of technology,the Internet and web technologies become the center source of *** to the huge amount of contents,one of the main challenges of modern informationtechnology is aimed at how to reduce and manage information in a structured way with mobilizing users to the similar kind of relevant ***,any intelligent system should be able to understand people's interest about a particular type of information and automatically mobilize him to the similar kind of available information *** idea of high level Activity Streams along with its standardized format can play a vital role to solve this problem in the broader *** paper introduces a novel system called CoASGen (Consolidation and Activity Streams Generator) which is able to automatically generate high level Activity Streams after aggregating and consolidating from different independent systems (*** a software company context:version management system,wikis,bug trackers etc.).It retrieves life time information as heterogeneous web feed by sensing user activities from those independent systems and then it transforms several similar types of atomic activities into high level Activity Streams using semantic technologies along with its specific standardized ***,it shows these high level Activity Streams to the user interface which is able to automatically motivate users to find relevant information easily without either missing any data or losing valuable *** system solves the problem "data silos" by reducing and managing information in a structured way.
The success of an e-Learning system depends on several factors: a supportive infrastructure, high-quality content, effective format, and high availability to satisfy ongoing user needs. In this paper, we perform explo...
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The success of an e-Learning system depends on several factors: a supportive infrastructure, high-quality content, effective format, and high availability to satisfy ongoing user needs. In this paper, we perform exploratory data analysis and data mining on an e-Learning web log, which spans one academic year. The study uncovers the e-Learning users’ usage behavior in accessing the content. The study discovers e-Learning media popularity and usage patterns, and helps the institution fine tune future courseware, from strategic changes to the fine-grain of lesson content improvement.
Monitoring every single email takes a lot of effort especially when the size of email transaction log is very large. This study proposed to find a wise option to monitor only the contents of important emails. Depth Fi...
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Monitoring every single email takes a lot of effort especially when the size of email transaction log is very large. This study proposed to find a wise option to monitor only the contents of important emails. Depth First Search algorithm, multi-digraph, email scoring model, WordNet, and Vector Space Model are used to create a model for filtering important emails and mining email contents. The findings showed that using email filtering module together with term enhancing module can help in reducing the processing time and keeping high precision and recall values of the system.
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