• Title/Summary/Keyword: dynamic query

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A Novel Query-by-Singing/Humming Method by Estimating Matching Positions Based on Multi-layered Perceptron

  • Pham, Tuyen Danh;Nam, Gi Pyo;Shin, Kwang Yong;Park, Kang Ryoung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.7
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    • pp.1657-1670
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    • 2013
  • The increase in the number of music files in smart phone and MP3 player makes it difficult to find the music files which people want. So, Query-by-Singing/Humming (QbSH) systems have been developed to retrieve music from a user's humming or singing without having to know detailed information about the title or singer of song. Most previous researches on QbSH have been conducted using musical instrument digital interface (MIDI) files as reference songs. However, the production of MIDI files is a time-consuming process. In addition, more and more music files are newly published with the development of music market. Consequently, the method of using the more common MPEG-1 audio layer 3 (MP3) files for reference songs is considered as an alternative. However, there is little previous research on QbSH with MP3 files because an MP3 file has a different waveform due to background music and multiple (polyphonic) melodies compared to the humming/singing query. To overcome these problems, we propose a new QbSH method using MP3 files on mobile device. This research is novel in four ways. First, this is the first research on QbSH using MP3 files as reference songs. Second, the start and end positions on the MP3 file to be matched are estimated by using multi-layered perceptron (MLP) prior to performing the matching with humming/singing query file. Third, for more accurate results, four MLPs are used, which produce the start and end positions for dynamic time warping (DTW) matching algorithm, and those for chroma-based DTW algorithm, respectively. Fourth, two matching scores by the DTW and chroma-based DTW algorithms are combined by using PRODUCT rule, through which a higher matching accuracy is obtained. Experimental results with AFA MP3 database show that the accuracy (Top 1 accuracy of 98%, with an MRR of 0.989) of the proposed method is much higher than that of other methods. We also showed the effectiveness of the proposed system on consumer mobile device.

Real-Time Monitoring and Buffering Strategy of Moving Object Databases on Cluster-based Distributed Computing Architecture (클러스터 기반 분산 컴퓨팅 구조에서의 이동 객체 데이타베이스의 실시간 모니터링과 버퍼링 기법)

  • Kim, Sang-Woo;Jeon, Se-Gil;Park, Seung-Yong;Lee, Chung-Woo;Hwang, Jae-Il;Nah, Yun-Mook
    • Journal of Korea Spatial Information System Society
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    • v.8 no.2 s.17
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    • pp.75-89
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    • 2006
  • LBS (Location-Based Service) systems have become a serious subject for research and development since recent rapid advances in wireless communication technologies and position measurement technologies such as global positioning system. The architecture named the GALIS (Gracefully Aging Location Information System) has been suggested which is a cluster-based distributed computing system architecture to overcome performance losses and to efficiently handle a large volume of data, at least millions. The GALIS consists of SLDS and LLDS. The SLDS manages current location information of moving objects and the LLDS manages past location information of moving objects. In this thesis, we implement a monitoring technique for the GALIS prototype, to allow dynamic load balancing among multiple computing nodes by keeping track of the load of each node in real-time during the location data management and spatio-temporal query processing. We also propose a buffering technique which efficiently manages the query results having overlapped query regions to improve query processing performance of the GALIS. The proposed scheme reduces query processing time by eliminating unnecessary query execution on the overlapped regions with the previous queries.

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Computing Average Iceberg Query by Dynamic Partition (동적 분할에 의한 평균 빙산 질의 처리)

  • 배진욱;이석호
    • Proceedings of the Korean Information Science Society Conference
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    • 1999.10a
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    • pp.126-128
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    • 1999
  • 평균 빙산 질의란 대용량의 데이터들에 의해 avg 집단 함수를 수행한 뒤 임계값 이상인 데이터들을 결과로 출력하는 연산을 의미한다. 이 때 데이터 도메인의 크기가 메모리에 생성할 수 있는 카운터의 수보다 크기 때문에 연산 처리가 어렵다. 지난 연구에서 빙산 질의에 대해 제안한 해시 카운터는 avg 연사의 경우 착오누락이 발생한다는 문제점이 존재한다. 그래서 이런 문제점들을 해결하며 효율적으로 연산을 수행하기 위해, 데이터베이스를 분할하며 카운터를 관리하는 '메모리 Full 분할', '후보 Full 분할'의 두 알고리즘을 제안한다. 실험결과 두 알고리즘은 메모리크기, 데이터 분포, 데이터 순서에 영향을 받았는데, 데이터들이 정렬이 되어 있거나 데이터분포가 정규분포를 이룰 때 우수한 성능을 보였다.

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Scene Recognition based Autonomous Robot Navigation robust to Dynamic Environments (동적 환경에 강인한 장면 인식 기반의 로봇 자율 주행)

  • Kim, Jung-Ho;Kweon, In-So
    • The Journal of Korea Robotics Society
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    • v.3 no.3
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    • pp.245-254
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    • 2008
  • Recently, many vision-based navigation methods have been introduced as an intelligent robot application. However, many of these methods mainly focus on finding an image in the database corresponding to a query image. Thus, if the environment changes, for example, objects moving in the environment, a robot is unlikely to find consistent corresponding points with one of the database images. To solve these problems, we propose a novel navigation strategy which uses fast motion estimation and a practical scene recognition scheme preparing the kidnapping problem, which is defined as the problem of re-localizing a mobile robot after it is undergone an unknown motion or visual occlusion. This algorithm is based on motion estimation by a camera to plan the next movement of a robot and an efficient outlier rejection algorithm for scene recognition. Experimental results demonstrate the capability of the vision-based autonomous navigation against dynamic environments.

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Enabling Efficient Verification of Dynamic Data Possession and Batch Updating in Cloud Storage

  • Qi, Yining;Tang, Xin;Huang, Yongfeng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.6
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    • pp.2429-2449
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    • 2018
  • Dynamic data possession verification is a common requirement in cloud storage systems. After the client outsources its data to the cloud, it needs to not only check the integrity of its data but also verify whether the update is executed correctly. Previous researches have proposed various schemes based on Merkle Hash Tree (MHT) and implemented some initial improvements to prevent the tree imbalance. This paper tries to take one step further: Is there still any problems remained for optimization? In this paper, we study how to raise the efficiency of data dynamics by improving the parts of query and rebalancing, using a new data structure called Rank-Based Merkle AVL Tree (RB-MAT). Furthermore, we fill the gap of verifying multiple update operations at the same time, which is the novel batch updating scheme. The experimental results show that our efficient scheme has better efficiency than those of existing methods.

A Unified Object Database for Biochemical Pathways

  • Jung, T.S.;Oh, J.S.;Jang, H.K.;Ahn, M.S.;Roh, D.H.;Cho, W.S.
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2005.09a
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    • pp.383-387
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    • 2005
  • One of the most important issues in post-genome era is identifying functions of genes and understanding the interaction among them. Such interactions from complex biochemical pathways, which are very useful to understand the organism system. We present an integrated biochemical pathway database system with a set of software tools for reconstruction, visualization, and simulation of the pathways from the database. The novel features of the presented system include: (a) automatic integration of the heterogeneous biochemical pathway databases, (b) gene ontology for high quality of database in the integration and query (c) various biochemical simulations on the pathway database, (d) dynamic pathway reconstruction for the gene list or sequence data, (e) graphical tools which enable users to view the reconstructed pathways in a dynamic form, (f) importing/exporting SBML documents, a data exchange standard for systems biology.

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Location-Based Services for Dynamic Range Queries

  • Park Kwangjin;Song Moonbae;Hwang Chong-Sun
    • Journal of Communications and Networks
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    • v.7 no.4
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    • pp.478-488
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    • 2005
  • To conserve the usage of energy, indexing techniques have been developed in a wireless mobile environment. However, the use of interleaved index segments in a broadcast cycle increases the average access latency for the clients. In this paper, we present the broadcast-based location dependent data delivery scheme (BBS) for dynamic range queries. In the BBS, broadcasted data objects are sorted sequentially based on their locations, and the server broadcasts the location dependent data along with an index segment. Then, we present a data prefetching and caching scheme, designed to reduce the query response time. The performance of this scheme is investigated in relation to various environmental variables, such as the distributions of the data objects, the average speed of the clients, and the size of the service area.

Estimation of Data Distribution Using Multidimensional Dynamic File Organization (다차원 동적 화일 구조를 이용한 데이타 분포의 추정)

  • Kim, Sang-Wook
    • Journal of Industrial Technology
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    • v.15
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    • pp.41-50
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    • 1995
  • This paper presents a technique for estimating distribution of data stored in a database. This technique is very useful for accurate selectivity estimation, which is essential in query optimization and physical database design. To maintain data distribution, we employ the directory of the multilevel grid file, a multidimensional dynamic file organization. The major advantage of our technique is that data distribution information is maintained dynamically in the multilevel grid file. In contrast, other static methods such as the histogram method use static date structures, which requires periodic restructuring. Furthermore, we propose a method for keeping the abstract information of data distribution in main memory. This is advantageous in the situation where the size of main memory is not sufficient. Finally, We also suggest formulas for calculating selectivies of various queries based on our data distribution information.

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Theory and Application of Moving GIS

  • LI, Chengming;Wang, Jizhou;LIU, Yong
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.307-309
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    • 2003
  • The paper compares Static GIS, Mobile GIS, Dynamic GIS and Moving GIS at first, then puts forward and discusses a description means of mobile objects, a model of spatial relation based on 9-intersection model and the query and analysis operations that Moving GIS should implement. On the above theory basis, the paper designs the function of Moving GIS and implements a prototype system named PNS-I on the basis of PDA, which has integrated GPS, GIS, GSM and GPRS.

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Design and Implementation of Matching Engine for QbSH System Based on Polyphonic Music (다성음원 기반 QbSH 시스템을 위한 매칭엔진의 설계 및 구현)

  • Park, Sung-Joo;Chung, Kwang-Sue
    • Journal of Korea Multimedia Society
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    • v.15 no.1
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    • pp.18-31
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    • 2012
  • This paper proposes a matching engine of query-by-singing/humming (QbSH) system which retrieves the most similar music information by comparing the input data with the extracted feature information from polyphonic music like MP3. The feature sequences transcribed from polyphonic music may have many errors. So, to reduce the influence of errors and improve the performance, the chroma-scale representation, compensation and asymmetric DTW (Dynamic Time Warping) are adopted in the matching engine. The performance of various distance metrics are also investigated in this paper. In our experiment, the proposed QbSH system achieves MRR (Mean Reciprocal Rank) of 0.718 for 1000 singing/humming queries when searching from a database of 450 polyphonic musics.