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This paper analyzes the problem of heterogeneous database and synchronization mechanism in enterprise data integration, provides a heterogeneous database integrated approach, then link up to a database center by web service, It provides a transparent unified interface. Users can not only query the database of the center, but also add, delete, update operation, and synchronize to the source database,...
Virtual machine (VM) management in cloud data center is an important problem that remains to be effectively addressed. There has been a considerable amount of work investigating the management of physical-to-virtual resource mappings to improve the efficiencies of resource usage and power consumption in data center. However, these different management objectives are conflicting. One solution can't...
Mobile banking (m-banking) is a technology trend that is leveraged to become very important channel for banks to compete and deliver their services to customers. Knowing how to enhance this service is going to return positively on the earnings of the bank. This research paper studies the customer satisfaction while using mobile banking in Oman based on SERVQUAL model. The five factors of SERVQUA1...
Omni Media has become an important trend with the development of information services in the context of network convergence and screen integration. In such an environment, Internet interaction is no longer limited to the computer, users can also access Internet resources through wearable and other smart computing devices. This paper proposes a multimedia repository system, which is composed of client...
As a typical user activity based model in search engines, click model is currently the mainstream approach to describe and analyze user behaviors when handling a number of search-related applications, such as automated ranking alternations, search quality metrics, and online advertising. However, most of the existing work in this literature only consider click through data but ignore other aspects...
In social networking (SNS), the user and the topic are important dimensions of social influence. This article presents a framework of decision-making on SNS topic expanding, named MSNTD [1]. MAS was used in this frame to describe SNS. For a specific topic, agents can get the best way to make the topic expand through active consultation and evaluation. Decision-making process is divided into two stages...
With the integration of cores increasing, the on-chip-network (NoC) latency and the throughput are getting worse in traditional structures. This paper proposed a novel parameter-based on the hierarchical mesh interconnected NoC (PHMNoC) to improve the integration and performance. We use structural parameters and cross-layer threshold parameter to achieve scalability for different system size and balance...
In this paper, we concentrate on how to apply semantic technology (ST) to intelligence decision-making support system (IDSS). Due to the limitations of traditional IDSS with relational database and the superiority of ST in knowledge presentation, we establish a ST-based IDSS aimed at combining IDSS with ST which integrates expert knowledge with RDF triples. Pig disease diagnose is chosen as an example...
This paper is an exploration to find a way to get the person attributes in profiles. Considering those attributes exists in large volume of unstructured data, and it is very difficult to gain in a short time. So, we use a method combing the pattern and SVM to extract the person attributes. Firstly, we collect many raw profiles in websites by our configurable crawler. Secondly, we use statistic methods...
This paper starts with the grading standard of classified protection of information system, and comes up with the grading method based on analytic hierarchy process and Dempster/Shafer theory for classified protection of information system. We proposed a multilevel evaluation index mechanism which is used to classified protection level of information system The quantitative value of each evaluation...
DevOps community advocates collaboration between development and operations staff during software deployment. However this collaboration may cause a conceptual deficit. This paper proposes a Unified DevOps Model (UDOM) in order to overcome the conceptual deficit. Firstly, the origin of conceptual deficit is discussed. Secondly, UDOM model is introduced that includes three sub-models: application and...
Recommender Systems(RSs) are software tools and techniques providing suggestions for items to be of use to a user. With the increasing development of Internet and explosion of information, recommender system has been an indispensable component in many applications. In this paper, a recommendation algorithm based on factorization model is proposed, which is applied to TV system. To quantize users'...
With the development of mobile internet technology and the strengthening of embedded software and hardware technique, people can easily obtain human body physiological data such as ECG, blood pressure, blood oxygen saturation, blood glucose etc. through intelligent terminals, while how to effectively manage these data has become a major problem. This paper studies the principle of physiological multiple...
In order to realize high-speed sampling, converting and real-time transmission in superlattice random signal processing, a high-speed true random number acquisition system based on semiconductor superlattice was designed. This paper introduced the overall system, the design of hardware, the implementation of software and the speed of transmission. The testing results of this system demonstrate that...
As process technology scales, electronic devices become more susceptible to transient faults induced by radiation. Symptom-based detection techniques provide promising low-cost and effective solutions, but could hardly catch faults that produce silent data corruptions (SDCs). Identifying and understanding instructions that cause SDCs is crucial to the development of program-level detectors. This paper...
We have empirically investigated two social networks fetched from a most popular micro-blog system. Different from previous works, the link of the networks presents “post-repost” relationship between two bloggers. So, the constructed networks described how information (micro-blog) related with given topic was spread among bloggers, instead of general “followee-follower” relationship among bloggers...
Using Laplace pyramid algorithm and pulse coupled neural network (PCNN), this paper proposed an effective fusion algorithm of multi-focus image. First, the paper uses Laplace pyramid for multi-scale decomposition of the image, and by using the PCNN to process the decomposition image, this obtains corresponding neuron ignition frequency map. Then, the paper calculates local entropy for every pixel's...
With more companies investing in analytics to obtain a competitive edge in the market, decision makers require better identification of valuable metrics from among their data and to be able to interpret those complex patterns more easily. The area of data mining has been heavily invested in by the research community; however there remains a gap between the visualization efforts of this newly mined...
Indicators of medical quality is the main basis of medical quality evaluation, predictive analyzing the indicators by using data mining technology, we can find and solve the problems of hospital quality management more timely. The study, basing on the medical homepage records, analyzes the key indicators of the hospital medical quality by decision tree C4.5 algorithm. Decision tree is a prediction...
Forecast verification is the subject of measuring the goodness of the forecast. In atmospheric science, the current practice of weather forecast verification is to compare observed data to past forecasts from weather services. The aim of this paper is to study a situation in which probabilistic rain forecasts are verified against crowdsourced data, in addition to station data. Weather reporting tasks...
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