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LDAP Multi-Master Technique is a replication approach using Syncrepl to replicate data to multiple servers. As the specialized database optimized for read access, the directory is used to represent heterogeneous entities in directory information tree (DIT). Compared with existing Sync replication models, the directory template replication model based on query templates proposed in this paper only...
Much research exists for the efficient processing of spatio-temporal data streams. However, all methods ultimately rely on an ill-equipped processor, namely a CPU, to evaluate concurrent, continuous spatio-temporal queries over these data streams. This paper presents GEDS, a scalable, Graphics Processing Unit (GPU)-based framework for the evaluation of continuous spatio-temporal queries over spatio-temporal...
To facilitate the engineers and technicians use the principles of selecting a reference system to query and calculation, to increase efficiency, improve the accuracy of calculation, we use VC and database technology to develop a query and calculation application program of principles of selecting a reference system. Users could get a series of data about principles of selecting a reference system...
Nowadays, datasets grow enormously both in size and complexity. One of the key issues confronted by large-scale dataset analysis is how to adapt systems to new, unprecedented query loads. Existing systems nail down the data organization scheme once and for all at the beginning of the system design, thus inevitably will see the performance goes down when user requirements change. In this paper, we...
In this paper, we put forward our approach for answering aggregated queries over imprecise data using domain specific taxonomies. A new concept we call the weighted hierarchical hyper graph has been introduced, which helps in answering aggregated queries when dealing with imprecise databases. We assume that the existence of a knowledge base is permanent and independent of the imprecision in the database...
Array-like structures constitute a significant share of scientific data. As arrays are not adequately supported as first-class citizens in traditional database systems, array DBMS technology has emerged offering bespoke query and storage support. On physical level, one challenge in such systems is to find performance efficient partitionings ("tilings") of large, multi-dimensional arrays...
Advancements in science and technology are rapidly disseminated through publications, patents, blogs, and the social networks. However, the process behind creating the science or technology is hardly curated. This is increasingly becoming a bottleneck for federal agencies who not only fund the science projects and monitor their progress but also make science policy decisions to regulate fundings in...
Large amount of labeled training data is required to develop robust and effective facial expression analysis methods. However, obtaining such data is typically a tedious and time-consuming task that is proportional to the size of the database. Due to the rapid advance of Internet and Web technologies, it is now feasible to collect a tremendous number of images with potential label information at a...
Modern Information Retrieval Systems match the terms of a user query with available documents in their index and return a large number of Web pages generally in the form of a ranked list. It becomes almost impractical at the user end to examine every returned document, thus necessitating the need to look for some means of result optimization. In this paper, a novel result optimization technique based...
This paper reports on a novel approach to the design and implementation of a spoken dialogue system. A human subject, or wizard, is presented with input of the sort intended for the dialogue system, and selects from among a set of pre-defined actions. The wizard has access to hypotheses generated by noisy automated speech recognition and queries a database with them using partial matching. During...
We describe Let's Buy Books, a dialog system that helps users search for eBook titles. In this paper we compare different vector space approaches to voice search and find that a hybrid approach using a weighted sub-space model smoothed with a general model provides the best performance over different conditions and evaluated using both synthetic queries and queries collected from users through questionnaires.
Cross language information retrieval (CLIR) system is a part of Information Retrieval. It deals with retrieving information in a different language than in which documents are stored. User retrieves the result in the language of his choice. Computing has changed the way to process the data. Our research work develops an application which gives user the flexibility to interact with system in a language...
In this paper we propose a music Query by Humming System made of two main functional blocks; the first implements a voice-to-midi transcription algorithm to process the query, the second implements a search engine based on a novel template matching technique for Dynamic Time Warping. The voice-to-midi algorithm transforms the sung or hummed query in a MIDI file by segmenting and identifying the notes'...
Data captured from a live cellular network with the real users during their common daily routine help to understand how the users move within the network. Unlike the simulations with limited potential or expensive experimental studies, the research in user-mobility or spatio-temporal user behavior can be conducted on publicly available datasets such as the Reality Mining Dataset. These data have been...
Speech calendar functionality to provide users with voice recording for schedule database and to retrieve it by speech query inputs. For example, users can record a database sentence: "Go to attend the TENCON conference in Fukuoka, Japan, on November 24" as a personal schedule, and use a nature sentence input, such as "Any schedule on November 24?" to retrieve the database. To...
Automatic image annotation or image classification can be an important step when searching for images from a database. Common approaches to medical image annotation with the Image Retrieval for Medical Applications (IRMA) code make poor or no use of its hierarchical nature, where different dense sampled pixel based information methods outperform global image descriptors. In this work we address the...
Query tools that depend on the ability of programmers, impose a cognitive load that could reduce the user's productivity. Within MDD, the proposal of our work is the creation of a visual query mechanism derived from a historical multidimensional data structure. This mechanism facilitates (and partially automates) the formulation of temporal and decision making queries.
We present JAWS, a job-aware, data-driven batch scheduler that improves query throughput for data-intensive scientific database clusters. As datasets reach petabyte-scale, workloads that scan through vast amounts of data to extract features are gaining importance in the sciences. However, acute performance bottlenecks result when multiple queries execute simultaneously and compete for I/O resources...
Security issues are quite important in applications of Database As a Service (DAS) where data are published to the untrusted service providers by data owners. This paper is to address the problem of verifying the completeness of query results generated from the untrusted service providers in DAS applications. Existing studies on completeness verification of query results are focused on one dimensional...
Although several algorithms for computing the reverse skyline queries have been proposed, they are developed only for point datasets and cannot handle reverse skyline queries over arbitrary spatial objects such as regions, polygons or lines. In this paper, we introduce a novel method for processing reverse skyline queries over arbitrary spatial objects. The proposed method also processes reverse skyline...
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