• Title/Summary/Keyword: retrieving system

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An Image Retrieving Scheme Using Salient Features and Annotation Watermarking

  • Wang, Jenq-Haur;Liu, Chuan-Ming;Syu, Jhih-Siang;Chen, Yen-Lin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.1
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    • pp.213-231
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    • 2014
  • Existing image search systems allow users to search images by keywords, or by example images through content-based image retrieval (CBIR). On the other hand, users might learn more relevant textual information about an image from its text captions or surrounding contexts within documents or Web pages. Without such contexts, it's difficult to extract semantic description directly from the image content. In this paper, we propose an annotation watermarking system for users to embed text descriptions, and retrieve more relevant textual information from similar images. First, tags associated with an image are converted by two-dimensional code and embedded into the image by discrete wavelet transform (DWT). Next, for images without annotations, similar images can be obtained by CBIR techniques and embedded annotations can be extracted. Specifically, we use global features such as color ratios and dominant sub-image colors for preliminary filtering. Then, local features such as Scale-Invariant Feature Transform (SIFT) descriptors are extracted for similarity matching. This design can achieve good effectiveness with reasonable processing time in practical systems. Our experimental results showed good accuracy in retrieving similar images and extracting relevant tags from similar images.

A Light-weight and Dynamically Reconfigurable RMON Agent System

  • Lee, Jun-Hyung;Park, Zin-Won;Kim, Myung-Kyun
    • Journal of Information Processing Systems
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    • v.2 no.3 s.4
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    • pp.183-188
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    • 2006
  • A RMON agent system, which locates on a subnet, collects the network traffic information for management by retrieving and analyzing all of the packets on the subnet. The RMON agent system can miss some packets due to the high packet analyzing overhead when the number of packets on the subnet is huge. In this paper, we have developed a light-weight RMON agent system that can handle a large amount of packets without packet loss. Our RMON agent system has also been designed such that its functionality can be added dynamically when needed. To demonstrate the dynamic reconfiguration capability of our RMON agent system, a simple port scanning attack detection module is added to the RMON agent system. We have also evaluated the performance of our RMON agent system on a large network that has a huge traffic. The test result has shown our RMON agent system can analyze the network packets without packet loss.

Design of Vehicle Location Tracking System using Mobile Interface

  • Chung, Ji-Moon;Choi, Sung;Ryu, Keun-Ho
    • 한국디지털정책학회:학술대회논문집
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    • 2004.11a
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    • pp.185-202
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    • 2004
  • Recent development in wireless computing and GPS technology cause the active development in the application system of location information in real-time environment such as transportation vehicle management, air traffic control and location based system. Especially, study about vehicle location tracking system, which monitors the vehicle's position in a control center, is appeared to be a representative application system. However, the current vehicle location tracking system can not provide vehicle position information that is not stored in a database at a specific time to users. We designed a vehicle location tracking system that could track vehicle location using mobile interface such as PDA. The proposed system consist of a vehicle location retrieving server and a mobile interface. It is provide not only the moving vehicle's current location but also the position at a past and future time which is not stored in database for users.

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White blood cell image Retrieving & Clustering System (백혈구 이미지 검색 및 구분 시스템)

  • 이성환;유채곤;김지윤;이인경;황치정
    • Proceedings of the Korean Information Science Society Conference
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    • 1999.10b
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    • pp.530-532
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    • 1999
  • 백혈구는 형태상으로 임파구, 중성구, 반핵구 등 7~8 종의 정상적인 백혈구 종류가 있으며 비정상적인 백혈구는 변형으로 인하여 수 십 가지가 되어 분류시 많은 어려움이 있다. 백혈구는 질환에 대한 많은 정보를 가지고 있어 질병 유무 및 상태 판단에 절대적으로 필요한 검사로서 현재는 전문가에 의해 백혈구 크기, 색상, 내부 핵유무, 핵의 모양 및 boundary 모양 등을 개인적 판단 기준으로 검사하고 있어 많은 어려움이 있다. 이에 질환별 백혈구 형태 분류 알고리즘과 이에 따른 백혈구 영상 정보 확보 및 검색 시스템을 설계 구현하였다.

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Implementation of the Speech Interface for Information Retrieving System (정보검색 시스템의 음성 인터페이스 구현)

  • 김정철;배건성
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.5
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    • pp.104-111
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    • 1999
  • 본 논문에서는 HMM 고립단어인식 기술을 이용하여 정보 사용자들이 윈도즈 환경에서 편리하게 정보를 검색할 수 있는 시스템을 구현하였다. 인식 시스템에서 인식단위로 유사음소모델을 이용하여 인식어의 확장성을 고려하였고 기본모델은 SPHINX 시스템에서 사용하는 형태의 음소모델을 연속분포 HMM으로 구현하였다. 정보검색 도구에서는 기능을 단순화하고 검색절차를 음성으로 출력하도록 하여 사용자의 편의성을 고려하였다.

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Design and Implementation of the API for Retrieving Process Template in Workflow System (워크플로우 시스템에서 프로세스 템플릿 검색을 위한 API 설계 및 구현)

  • 김행이;이승일;한동수
    • Proceedings of the Korean Information Science Society Conference
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    • 2000.10b
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    • pp.236-238
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    • 2000
  • 워크플로우 시스템에서 워크플로우 프로세스에 관한 정의 정보는 일반적으로 데이터베이스에 저장되고 워크플로우 엔진은 이 데이터베이스로부터 필요한 정보를 인출하여 사용하게 된다. 엔진이 데이터를 검색하는 방법은 데이터베이스의 구조와 엔진의 구조에 따라서 매우 다양하다. 그 방법 중 하나로 워크플로우 엔진이 프로세스 정의가 저장된 데이터베이스를 직접 접근하여 원하는 정보를 가져올 수도 있으나 엔진과 데이터베이스 사이에 인터페이스를 두고서 간접적으로 접근하는 것은 많은 이점을 제공한다. 본 논문에서는 이러한 접근 방식의 이점 및 그 구현 기법에 관하여 ICU/COWS 라는 분산 워크플로우 시스템을 대상으로 논의한다.

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USN metadata management agent using IoT-based EMRA

  • Lee, Jong-Sub
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.4
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    • pp.96-103
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    • 2022
  • In this paper, we define EMRA-based USN metadata to describe sensor device, sensor node, and sensor network information at the application level. And the proposed method for effectively storing and retrieving USN metadata based on EMRA uses agent technology. As the sensor metadata proposed in this paper is based on SensorML, interoperability can be maintained in the USN environment, and the metadata management system can be directly utilized for metadata management in USN middleware or applications.

Error Correction of Holographic Data Storage System Using Artificial Intelligence (인공지능 기법을 이용한 홀로그래픽 데이터 스토리지 시스템의 에러 보정)

  • Kim, Jang-Hyun;Park, Jin-Bae;Yang, Hyun-Seok;Park, Young-Pil
    • Proceedings of the KIEE Conference
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    • 2006.07d
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    • pp.2142-2143
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    • 2006
  • Today any data storage system cannot satisfy all of these conditions, however holographic data storage system can perform faster data transfer rate because it is a page oriented memory system using volume hologram in writing and retrieving data. System can be constructed without mechanically actuating part therefore fast data transfer rate and high storage capacity about 1Tb/cm3 can be realized. In this research, to reduce errors of binary data stored in holographic data storage system, a new method for bit error reduction is suggested. Firstly, find fuzzy rule to use test bed system for Element of Holographic Digital Data System. Secondly, make fuzzy rule table using DNA coding method. Finally, reduce prior error element and recording digital data. Recording ratio and reconstruction ratio show good performance.

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The Retrieval Batch Size for Feasible System in a Bi-directional Carousel System (양 방향 이동 회전창고시스템에서 실현 가능한 시스템을 위한 인출 배치크기)

  • Chang, Suk Hwa
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.36 no.3
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    • pp.118-125
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    • 2013
  • This paper deals with the picking batch size which a bi-directional carousel system can be feasible. The items that customers order are retrieved from the bins of carousel with batch size. The mathematical equations representing rotary travel distance and retrieval lead time to pick a given batch size are derived. Rotary travel distance represents the distance which carousel system rotates to retrieve items in a batch. The bi-directional carousel system rotates to minimize the travel distance in retrieving the items in a batch. Rotary travel distance and retrieval lead time are analyzed for the batch size through the simulation approach. From the simulation, the retrieval batch size that carousel system can be feasible is obtained. A numerical example is shown to explain the solution procedure.

Content-Based Image Retrieval of Chest CT with Convolutional Neural Network for Diffuse Interstitial Lung Disease: Performance Assessment in Three Major Idiopathic Interstitial Pneumonias

  • Hye Jeon Hwang;Joon Beom Seo;Sang Min Lee;Eun Young Kim;Beomhee Park;Hyun-Jin Bae;Namkug Kim
    • Korean Journal of Radiology
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    • v.22 no.2
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    • pp.281-290
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    • 2021
  • Objective: To assess the performance of content-based image retrieval (CBIR) of chest CT for diffuse interstitial lung disease (DILD). Materials and Methods: The database was comprised by 246 pairs of chest CTs (initial and follow-up CTs within two years) from 246 patients with usual interstitial pneumonia (UIP, n = 100), nonspecific interstitial pneumonia (NSIP, n = 101), and cryptogenic organic pneumonia (COP, n = 45). Sixty cases (30-UIP, 20-NSIP, and 10-COP) were selected as the queries. The CBIR retrieved five similar CTs as a query from the database by comparing six image patterns (honeycombing, reticular opacity, emphysema, ground-glass opacity, consolidation and normal lung) of DILD, which were automatically quantified and classified by a convolutional neural network. We assessed the rates of retrieving the same pairs of query CTs, and the number of CTs with the same disease class as query CTs in top 1-5 retrievals. Chest radiologists evaluated the similarity between retrieved CTs and queries using a 5-scale grading system (5-almost identical; 4-same disease; 3-likelihood of same disease is half; 2-likely different; and 1-different disease). Results: The rate of retrieving the same pairs of query CTs in top 1 retrieval was 61.7% (37/60) and in top 1-5 retrievals was 81.7% (49/60). The CBIR retrieved the same pairs of query CTs more in UIP compared to NSIP and COP (p = 0.008 and 0.002). On average, it retrieved 4.17 of five similar CTs from the same disease class. Radiologists rated 71.3% to 73.0% of the retrieved CTs with a similarity score of 4 or 5. Conclusion: The proposed CBIR system showed good performance for retrieving chest CTs showing similar patterns for DILD.