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Currently, a large amount of data is amassed in electronic health records (EHRs). However, EHR systems are largely information silos, that is, uses of these systems are often confined to management of patient information and analytics specific to a clinician's practice. A growing trend in healthcare is combining multiple databases to support epidemiological research. The College Health Surveillance...
Monitoring system provides a clear insight into the state and performance of service components in cloud computing platforms. It collects metrics from dispersed sensors and stores them in databases for show and future query. To choose the most suitable database for a monitoring system is complex, since the performance requirement on cloud monitoring system in different data centers differs widely...
In this paper, a battery swapping station (BSS) model is proposed as an economic and convenient way to provide energy for the batteries of the electric vehicles (EVs). This method would overcome some drawbacks to the use of electric vehicles like long charging time and insufficient running distance. On the economic concern of a battery swapping station, the station would optimize the availability...
In this paper, a new study based on machine learning technique, specifically artificial neural network, is investigated to predict the systolic blood pressure by correlated variables (BMI, age, exercise, alcohol, smoke level etc.). The raw data are split into two parts, 80% for training the machine and the remaining 20% for testing the performance. Two neural network algorithms, back-propagation neural...
Dynamic spectrum management (DSM) of cognitive radio networks (CRNs) has been a hotspot for spectrum management departments as well as research community to alleviate spectrum scarcity problem. With the motive of facilitating CRNs with spectrum-related information with low cost in different scenarios including infrastructure less environment, this paper proposes a spectrum map based DSM (SMDSM) framework...
Database analysis and the recovery of deleted record are two of the most important parts in digital forensics. This paper focuses on the management mechanism of Android S MS database, involving the analyses of write-in rules of database and log files during the data updating process. Based on the research results, a recovery method for database operating records from WAL file is proposed. To solve...
This study developed fingertips detection algorithms for contactless applications of human-machine interaction. The proposed methods are capable of capturing high-quality hand models without being affected by external influences, such as changes in lighting or complex backgrounds. The proposed system is based on the offline construction of databases comprising skin color and non-skin color samples...
Query term suggestion that interactively expands the queries is an indispensable technique to help users formulate high-quality queries and has attracted much attention in the community of web search. Existing methods usually suggest terms based on statistics in documents as well as query logs and external dictionaries, and they neglect the fact that the topic information is very crucial because it...
The e-voting technology approach to algorithm is defined not only by the robust unification of algorithm and multicast frameworks, but also by the structured need for the partition table. Given the current status of event-driven algorithms, mathematicians clearly desire the synthesis of the effective query algorithm, which embodies the theoretical principles of networking. We motivate an algorithm...
A fast duplicate video detection system based on camera transitional behavior and the suffix array data structure is proposed in this work. The main idea is to match video clips according to their temporal structures, and frames corresponding to unique events are marked as anchor frames. To simplify the detection process, we use the camera transitional behavior to indicate unique events. Specifically,...
As a retrieval task, expert finding has recently attracted much attention. And various methods have been proposed to rank expert candidates against topical query. The most efficient approach is document-based method that treats supporting documents as a ldquobridgerdquo and ranks the candidates based on the co-occurrences of topic and candidate mentions in the supporting documents.However, such kind...
To address the multiplicity and copyright issues on file sharing social networks, we propose a fast video copy detection algorithm using the suffix array data structure in this work. The proposed algorithm consists of two steps. In the first step, we extract robust features which are discriminative yet insensitive to various attacks. Specifically, we develop a compact one-dimensional signature based...
According to the teaching and learning experience and problems in English Reading, this paper illustrates a set of solving project which is based on the Expert System, and a model is also built up under the guidance of the Expert System. The paper demonstrates several aspects about the general analysis and design, realization, and functional analysis of the System. This System is adopted the major...
The problem of academic expert recruiting is concerned with finding the experts on a specified research field. It has many real-world applications and has recently attracted much attention. However, the existing methods are not versatile and entirely suit for the special requirements from academic area where the co-authorship and the citation relation play important roles in judging researcherspsila...
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