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Although efficient processing of probabilistic databases is a well-established field, a wide range of applications are still unable to benefit from these techniques due to the lack of means for creating probabilistic databases. In fact, it is a challenging problem to associate concrete probability values with given time-series data for forming a probabilistic database, since the probability distributions...
In Software-as-a-Service, multiple tenants are typically consolidated into the same database instance to reduce costs. For analytics-as-a-service, in-memory column databases are especially suitable because they offer very short response times. This paper studies the automation of operational tasks in multi-tenant in-memory column database clusters. As a prerequisite, we develop a model for predicting...
With the development of virtualization technology, on-demand computing becomes more reliable and acceptable in industry, such as utility computing and IaaS (Infrastructure-as-a-Service) of cloud computing. In virtualized environments, applications are running on VMs (virtual machines) configured with physical computing resources (CPU, memory, etc.). Inevitably, issues about performance management...
The paper describes a formal model of semantic search which is used for searching in the bibliographic database. Also scheme for constructing of ontology model is presented. As a result of work, there were formulated lemmas for functions of interpretation of terms and concepts.
In this paper, we present a novel dynamic scheme to estimate the execution time of stored procedures inside the Database Management Systems (DBMS). Our estimation model can provide users an accurate estimation of the execution time of stored procedures. The proposed estimation model adopts the basic idea of Radial Basis Function (RBF) network to accurately predict the execution time of the stored...
Tabu Search is a meta-heuristic approach successfully used to address optimization problems in several contexts. This paper reports the results of an empirical study carried out to investigate the effectiveness of Tabu Search in estimating Web application development effort. The dataset employed in this investigation is part of the Tukutuku database. This database has been used in several studies...
This work presents an unconstrained offline hand-written line recognition system based on hybrid HMM (Hidden Markov Model)/ANN (Artificial Neural Network) models. The particularity of the system lies in the use of an ensemble of connectionist/statistical character n-gram language models. These language models are trained with a text corpus at character level; therefore, no explicit lexicon is used...
Planning and scheduling of testing activities play an important role for any independent test team that performs tests for different software systems, developed by different development teams. This work studies the application of machine learning tools and variable selection tools to solve the problem of estimating the execution effort of functional tests. An analysis of the test execution process...
Network Management System (NMS) is a service that employs a variety of tools, applications, and devices to assist network administrators on monitoring and maintaining network. Keeping the network in high quality of service is the main purpose of NMS. This paper proposed a method to solve the network problem by making a prediction of failure based on network-data behavior. The prediction represented...
This paper gives the object behavior model of software, describes the interactive relationship between classes by sequence diagram and the state change of classes by state diagram. In the concrete process of modeling, this paper first uses UML modeling language to construct the structural model and behavioral model of the system and then uses integrated modeling method to establish the UML/OOPN model...
Biometric identification has lately attracted attention because of its high convenience; it does not require a user to enter a user ID. The identification accuracy, however, degrades as the number of the enrollees increases. Although many multimodal biometric techniques have been proposed to improve the identification accuracy, it requires the user to input multiple biometric samples and makes the...
In this article based on databases of 3D female bodies emulator, 3D jacket emulator, textile material parameters, historical photos and pattern parameters, an automatic pattern making and its 3D emulator model support system of woman warm jacket was developed. In this system different databases were set up and mathematic models of body block and pattern were founded, which they were the main algorithms...
The contribution of this paper is two-fold. In the first fold, a novel construction of mercurial commitments from the general RSA moduli is presented which is provably secure in the trusted-parameter model assuming that the RSA problem is hard. In the second fold, an immediate application of mercurial commitments from general RSA moduli to zero-knowledge sets is proposed which is provably secure in...
An approach that aims to reveal and to explain the pattern of information potentially present in a dataset consisting of n objects by ordering them using the possibility-based Robinsonian similarity matrix is proposed. The similarity is estimated between objects containing imperfect and heterogeneously-assigned data. A graph-based model is proposed to visualize these patterns. This method is applied...
Increasing cellular network offers services with diverse quality-of-service supports users to access telephony, paging, instant messaging, and trivial Web-browsing on the same device. The mobility of communication devices and channel imperfection makes the service offerings much more challenging with limited resources. Resource reservation plays a very important role in cellular communication in terms...
In order to deal with the uncertainties of permanent magnet synchronous servo motor, inertia, torque load and viscous damping coefficient are online identified based on recursive least-square (RLS) estimator simultaneously. Then, a novel self-tuning PI controller based on iteration self-learning scheme is designed. Along with the regulation process, the system can remember effective historical control...
This paper has analysed the a priori algorithm performance, and has pointed out performance bottleneck question of the a priori algorithm. Currently those algorithms to mine association rules only pay attention to one aspect of efficiency or accuracy respectively. There is a paradox between efficiency and accuracy. In order to resolve to this conflict, a novel algorithm based on probability estimate...
To cultivate the innovative and multiplex people full of computer skills, this paper proposes a new cultivation model, which gives priority to curriculum competition and takes the application and development of database as assistant measures. This new model is called four curricula and two competitions. English and mathematics analyse are two basic curricula. Programming language is the course of...
Users often have vague or imprecise ideas when searching the Web database, thus they might like to issue fuzzy queries that consist of fuzzy terms or fuzzy relations for possibly retrieving. To deal with the problem of too many results returned from a Web database in response to a user fuzzy query, this paper proposes a novel approach to rank the fuzzy query results. Based on database workload, we...
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