• Title/Summary/Keyword: Query type

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Fast Detection of Video Copy Using Spatio-Temporal Group Feature (시공간 그룹특징을 사용한 동영상 복사물의 고속 검색)

  • Jeong, Jae Hyup;Lee, Jun Woo;Kang, Jong Wook;Jeong, Dong Seok
    • Journal of the Institute of Electronics and Information Engineers
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    • v.49 no.11
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    • pp.64-73
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    • 2012
  • In this paper, we propose a method to search for identical videos. The proposed method is spatio-temporal group feature fingerprinting. Frame of video is extracted from fixed rate method and is partitioned into vertical group and horizontal group. Descriptor is made of each group feature that is extracted from binary fingerprinting. Next, use descriptor of original video to build a two type of fingerprinting database and matching with query video. To efficient and effective video copy detection, method have high robustness, independence, matching speed. In proposed method, group feature have high robustness and independence in variable modification of video. Building a original fingerprinting database is able to fast matching with query video. The proposed method shows performance improvement in variable modifications in comparison to the existing methods. Especially, very singular performance in speed improvement is great advantage of this paper.

A Study on Secure Model based Virtualization for Web Application Security (웹 어플리케이션 보안을 위한 가상화 기반 보안 모델)

  • Yang, Hwan Seok;Yoo, Seung Jae
    • Convergence Security Journal
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    • v.14 no.4
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    • pp.27-32
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    • 2014
  • Utilization of web application has been widely spread and complication in recent years by the rapid development of network technologies and changes in the computing environment. The attack being target of this is increasing and the means is diverse and intelligent while these web applications are using to a lot of important services. In this paper, we proposed security model using virtualization technology to prevent attacks using vulnerabilities of web application. The request information for query in a database server also can be recognized by conveying to the virtual web server after ID is given to created session by the client request and the type of the query is analyzed in this request. VM-Master module is constructed in order to monitor traffic between the virtual web servers and prevent the waste of resources of Host OS. The performance of attack detection and resource utilization of the proposed method is experimentally confirmed.

Use of Graph Database for the Integration of Heterogeneous Biological Data

  • Yoon, Byoung-Ha;Kim, Seon-Kyu;Kim, Seon-Young
    • Genomics & Informatics
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    • v.15 no.1
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    • pp.19-27
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    • 2017
  • Understanding complex relationships among heterogeneous biological data is one of the fundamental goals in biology. In most cases, diverse biological data are stored in relational databases, such as MySQL and Oracle, which store data in multiple tables and then infer relationships by multiple-join statements. Recently, a new type of database, called the graph-based database, was developed to natively represent various kinds of complex relationships, and it is widely used among computer science communities and IT industries. Here, we demonstrate the feasibility of using a graph-based database for complex biological relationships by comparing the performance between MySQL and Neo4j, one of the most widely used graph databases. We collected various biological data (protein-protein interaction, drug-target, gene-disease, etc.) from several existing sources, removed duplicate and redundant data, and finally constructed a graph database containing 114,550 nodes and 82,674,321 relationships. When we tested the query execution performance of MySQL versus Neo4j, we found that Neo4j outperformed MySQL in all cases. While Neo4j exhibited a very fast response for various queries, MySQL exhibited latent or unfinished responses for complex queries with multiple-join statements. These results show that using graph-based databases, such as Neo4j, is an efficient way to store complex biological relationships. Moreover, querying a graph database in diverse ways has the potential to reveal novel relationships among heterogeneous biological data.

PARKING GUIDE AND MANAGEMENT SYSTEM WITH RFID AND WIRELESS SENSOR NETWORK

  • Gue Hun Kim;Seung Yong Lee;Joong Hyun Choi;Youngmi Kwon
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.1278-1282
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    • 2009
  • In apartment type of housing, if resident's vehicle is registered in central control office and RFID TAG is issued, identification can be recognized from the time of entrance into parking lot and intelligent parking guide system can be activated based on the residents' profile. Parking Guide System leads a vehicle to the available parking space which is closest to the entrance gate of the vehicle's owner. And when residents forget where they parked their cars, they can query to the Parking Guide and Management System and get responses about the location. For the correct operation of this system, it is necessary to find out where the residents' cars have parked in real time and which lot is available for parking of other cars. RFID is very fancy solution for this system. RFID reader gathers the ID information in RFID TAGs in parked cars and updates the DB up to date. But, when non-residents' cars are parked inside apartment, RFID reader cannot identify them nor know the exact empty/occupied status of parking spaces because they don't react to RFID reader's query. So for the exact detection of empty/occupied status, we suggest the combined use of ultrasonic sensors and RFID. We designed a tree topology with intermediate data aggregators. The depth of tree is normally more than 3 from root (central office) to leaves (individual parking lots). The depth of 2 in tree topology brings about the bottleneck in communication and maintenance. We also designed the information fields used in RFID networks and Sensor Networks.

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The Scheme for Path-based Query Processing on the Semantic Data (시맨틱 웹 데이터의 경로 기반 질의 처리 기법)

  • Kim, Youn-Hee;Kim, Jee-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.10
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    • pp.31-41
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    • 2009
  • In the Semantic Web, it is possible to provide intelligent information retrieval and automated web services by defining a concept of information resource and representing a semantic relation between resources with meta data and ontology. It is very important to manage semantic data such as ontology and meta data efficiently for implementing essential functions of the Semantic Web. Thus we propose an index structure to support more accurate search results and efficient query processing by considering semantic and structural features of the semantic data. Especially we use a graph data model to express semantic and structural features of the semantic data and process various type of queries by using graph model based path expressions. In this paper the proposed index aims to distinguish our approach from earlier studies and involve the concept of the Semantic Web in its entirety by querying on primarily extracted structural path information and secondary extracted one through semantic inferences with ontology. In the experiments, we show that our approach is more accurate and efficient than the previous approaches and can be applicable to various applications in the Semantic Web.

Few-shot learning using the median prototype of the support set (Support set의 중앙값 prototype을 활용한 few-shot 학습)

  • Eu Tteum Baek
    • Smart Media Journal
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    • v.12 no.1
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    • pp.24-31
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    • 2023
  • Meta-learning is metacognition that instantly distinguishes between knowing and unknown. It is a learning method that adapts and solves new problems by self-learning with a small amount of data.A few-shot learning method is a type of meta-learning method that accurately predicts query data even with a very small support set. In this study, we propose a method to solve the limitations of the prototype created with the mean-point vector of each class. For this purpose, we use the few-shot learning method that created the prototype used in the few-shot learning method as the median prototype. For quantitative evaluation, a handwriting recognition dataset and mini-Imagenet dataset were used and compared with the existing method. Through the experimental results, it was confirmed that the performance was improved compared to the existing method.

The ASK_a Service Model for Public Library in Korea (우리나라 공공도서관의 ASK_a 서비스 모형 개발)

  • Nam, Young-Joon;Lee, Hyang-Sook
    • Journal of Information Management
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    • v.37 no.1
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    • pp.57-81
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    • 2006
  • The new service of Korean public library, ASK_a service model suggests a new management practice in collaborative digital reference services. The model has three functions: input transaction, process transaction, and output transaction. The best form for input is the web form. The best form for process is a model with a hybrid type of public libraries(hierarchical and lateral type). The output suggests the archiving policy for gathering the query-answer data. The core of this model is providing an advanced information service to its users through cooperation with public libraries and external manpower.

Design of Efficient Storage Structure and Indexing Mechanism for XML Documents (XML을 위한 효율적인 저장구조 및 인덱싱 기법설계)

  • 신판섭
    • Journal of the Korea Computer Industry Society
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    • v.5 no.1
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    • pp.87-100
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    • 2004
  • XML has recently considered as a new standard for data presentation and exchange on the web, many researches are on going to develop applications and index mechanism to store and retrieve XML documents efficiently. In this paper, design a Main-Memory based XML storage system for efficient management of XML document. And propose structured retrieval of XML document tree which reduce the traverse of XML document tree using element type information included user queries. Proposed indexing mechanism has flexibilities for dynamic data update. Finally, for query processing of XML document include Link information, design a index structure of table type link information on observing XLink standards.

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Mapping from XML DTD to RDB Schema based on Object Model (객체모델을 기반으로 한 XML DTD의 RDB 스키마로의 변환 방법)

  • 이상태;이정수;주경수
    • Proceedings of the IEEK Conference
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    • 2001.06c
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    • pp.113-116
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    • 2001
  • XML (extensible Markup Language) is a flexible way to create common information formats and share both the format and the data on the World Wide Web, intranets, and elsewhere. A document type definition (DTD) is a specific definition of the rules of the Standard Generalized Markup Language. A relational database management system (RDBMS) is a program that lets you create, update, and administer a relational database. An RDBMS takes Structured Query Language (SQL) statements entered by a user or contained in an application program and creates, updates, or provides access to the database. This paper has been studied a method of mappings from XML DTD to RDB schemas based on object model.

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The Keyword Search Using Thesaurus Concept in Geographic Information Systems

  • Yamauchi, Takashi;Kang, Dongshik;Miyagi, Hayao
    • Proceedings of the IEEK Conference
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    • 2002.07a
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    • pp.575-578
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    • 2002
  • In this study, it enabled to perform keyword search on Geographic Information Systems (GIS) more flexibly by taking in the concept of geographic thesaurus in order to make the keyword search that was more efficiently. The search procedure depends on the history when user information is included. This study provides a system for keyword searching as well as check the validity of the system. Furthermore, by establishing this reference method, the search that took in the query of a user flexibly is attained rather than a chosen type reference system.

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