• Title/Summary/Keyword: Query Side

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Pre-processing Method for Face Recognition Robust to Lightness Variation; Facial Symmetry (조명 변화에 강건한 얼굴 인식의 전처리 기법; 얼굴의 대칭성)

  • Kwon Heak-Bong;Kim Young-Gil;Chang Un-Dong;Song Young-Jun
    • The Journal of the Korea Contents Association
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    • v.4 no.4
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    • pp.163-169
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    • 2004
  • In this paper. we propose a shaded recognition method using symmetric feature. When the existing PCA is applied to shaded face images, the recognition rate is decreased. To improve the recognition rate, we use facial symmetry. If the difference of light and shade is greater than a threshold value, we make a mirror image by replacing the dark side with the bright side symmetrically Then the mirror image is compared with a query image. We compare the performance of the proposed algorithm with the existing algorithms such as PCA, PCA without three eigenfaces and histogram equalization methods. The recognition rate of our method shows $98.889\%$ with the excellent result.

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An Access Control Method considering Semantic Context for Privacy-preserving (개인정보 보호를 위한 의미적 상황을 반영하는 접근제어 방식)

  • Kang, Woo-Jun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.1
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    • pp.1-14
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    • 2015
  • To conform to new emerging computing paradigm, various researches and challenges are being done. New information technologies make easy to access and acquire information in various ways. In other side, however, it also makes illegal access more powerful and various threat to system security. In this paper, we suggest a new extended access control method that make it possible to conform to security policies enforcement even with discrepancy between policy based constraints rules and query based constraints rules, based on their semantic information. New method is to derive security policy rules using context tree structure and to control the exceed granting of privileges through the degree of the semantic discrepancy. In addition, we illustrate prototype system architecture and make performance comparison with existing access control methods.

Study on Multimedia Expert Diagnostic System of Chicken Diseases

  • Lu Changhua;Wang Lifang;Nong, Hu-Yi;Wang Qiming;Lu Qingwen
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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    • pp.508-510
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    • 2001
  • Adopting the method of user weighting fuzzy mathematics, the author accomplished the subject title “Study on Expert System of Chicken\`s Common Diseases Diagnostics”, which could properly diagnose 30 kinds of chicken\`s common diseases and the accordance rate reached 80% verified through 244 disease cases. On the basis of the accomplishment, the multimedia technology was adopted further more to establish a system, which integrated with the input, display, query, and processing of sound, picture and text etc., combined with the previous chicken disease diagnostic expert system, make the output information of computer more rich and comprehensive, and the accordance rate of disease diagnosis could be improved. The system consists of database, knowledge base, graphics and picture base. This system is easy to operate and interface of which is vivid and intuitive. It could output diagnostic result and prescribe rapidly, so that, such a system is not only adapted to large, medium chicken farm but also to grass-roots veterinary station for developing health care and disease diagnosing. It is sure that the system could have side prospect of application.

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RIA based Personalized Search with Widget Implementation (RIA 기반 개인화 검색을 위한 Widget 응용의 구현)

  • Park, Cha-Ra;Lim, Tae-Soo;Lee, Woo-Key
    • Journal of KIISE:Computing Practices and Letters
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    • v.13 no.6
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    • pp.402-406
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    • 2007
  • Rich Internet Application(RIA) is one of the Web 2.0 technologies and is expected to be a next generation user interface technique which allows flexible and dynamic manipulation for Web searches. This paper addresses a personalization mechanism for advanced Web search using RIA for abundant user interactions. We devised a dynamic and graphical user interface instead of previous text-based searches and a client side application for storing personal preference information. In this research, we implemented the graphical personalized search manager using Yahoo web search API and widget, and demonstrated its effectiveness by performing some experiments with various query terms and representative predicates.

Application of OGC WPS 2.0 to Geo-Spatial Web Services (공간정보 웹 서비스에서 OGC WPS 2.0 적용)

  • YOON, Goo-Seon;LEE, Ki-Won
    • Journal of the Korean Association of Geographic Information Studies
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    • v.19 no.3
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    • pp.16-28
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    • 2016
  • Advancing geo-spatial web technologies and their applications require compatible and interoperable heterogeneous browsers and platforms. Reduction of common or supporting components for web-based system development is also necessary. If properly understood and applied, OGC-based standards can be utilized as effective solutions for these problems. Thus, OGC standards are central to the design and development of web-based geo-spatial systems, and are particularly applicable to web services, which contain data processing modules. However, the application for OGC WPS 2.0 is at an early stage as compared with other OGC standards; thus, this study describes a test implementation of a web-based geo-spatial processing system with OGC WPS 2.0 focused on asynchronous processing functionality. While a binary thresholding algorithm was tested in this system, further experiments with other processing modules can be performed on requests for many types of processing from multiple users. The client system of the implemented product was based on open sources such as jQuery and OpenLayers, and server-side running on Spring framework also used various types of open sources such as ZOO project, and GeoServer. The results of geo-spatial image processing by this system implies further applicability and extensibility of OGC WPS 2.0 on user interfaces for practical applications.

Deep Learning Similarity-based 1:1 Matching Method for Real Product Image and Drawing Image

  • Han, Gi-Tae
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.12
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    • pp.59-68
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    • 2022
  • This paper presents a method for 1:1 verification by comparing the similarity between the given real product image and the drawing image. The proposed method combines two existing CNN-based deep learning models to construct a Siamese Network. After extracting the feature vector of the image through the FC (Fully Connected) Layer of each network and comparing the similarity, if the real product image and the drawing image (front view, left and right side view, top view, etc) are the same product, the similarity is set to 1 for learning and, if it is a different product, the similarity is set to 0. The test (inference) model is a deep learning model that queries the real product image and the drawing image in pairs to determine whether the pair is the same product or not. In the proposed model, through a comparison of the similarity between the real product image and the drawing image, if the similarity is greater than or equal to a threshold value (Threshold: 0.5), it is determined that the product is the same, and if it is less than or equal to, it is determined that the product is a different product. The proposed model showed an accuracy of about 71.8% for a query to a product (positive: positive) with the same drawing as the real product, and an accuracy of about 83.1% for a query to a different product (positive: negative). In the future, we plan to conduct a study to improve the matching accuracy between the real product image and the drawing image by combining the parameter optimization study with the proposed model and adding processes such as data purification.

GIScience Studies and Policies in Korea: Focus on Web GIS and National GIS (한국의 지리정보학과 지리정보 정책: Web GIS와 국가 GIS를 중심으로)

  • Ku, Cha-Yong;Hwang, Chul-Sue;Choi, Jin-Mu
    • Journal of the Korean Geographical Society
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    • v.47 no.4
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    • pp.592-605
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    • 2012
  • This article reviewed issues in Korean geographical journals: web GIS and National GIS. Web GIS in Korea is now evolving to mobile GIS, which requires portable hardware, wireless Internet, and GPS receiver. The new trend of mobile GIS is using a smart phone. Recently, a variety of studies for the mobile App and mobile Web in Korea has been developed. With explosive information on the Web 2.0, the Korean government has built the Human-Oriented Geographic Information System (HOGIS) in which Ontology was implemented for semantic query on the Web. On the government side, Korean government has produced various nationwide data through 4-phase NGIS project. Current NGIS ($4^{th}$ phase: 2011-2015) moves toward a Korean Green Geospatial Society using geospatial information as a new growth engine for the future.

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A Study of Step-by-step Countermeasures Model through Analysis of SQL Injection Attacks Code (공격코드 사례분석을 기반으로 한 SQL Injection에 대한 단계적 대응모델 연구)

  • Kim, Jeom-Goo;Noh, Si-Choon
    • Convergence Security Journal
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    • v.12 no.1
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    • pp.17-25
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    • 2012
  • SQL Injection techniques disclosed web hacking years passed, but these are classified the most dangerous attac ks. Recent web programming data for efficient storage and retrieval using a DBMS is essential. Mainly PHP, JSP, A SP, and scripting language used to interact with the DBMS. In this web environments application does not validate the client's invalid entry may cause abnormal SQL query. These unusual queries to bypass user authentication or da ta that is stored in the database can be exposed. SQL Injection vulnerability environment, an attacker can pass the web-based authentication using username and password and data stored in the database. Measures against SQL Inj ection on has been announced as a number of methods. But if you rely on any one method of many security hole ca n occur. The proposal of four levels leverage is composed with the source code, operational phases, database, server management side and the user input validation. This is a way to apply the measures in terms of why the accident preventive steps for creating a phased step-by-step response nodel, through the process of management measures, if applied, there is the possibility of SQL Injection attacks can be.

High Affinity Pharmacological Profiling of Dual Inhibitors Targeting RET and VEGFR2 in Inhibition of Kinase and Angiogeneis Events in Medullary Thyroid Carcinoma

  • Dunna, Nageswara Rao;Kandula, Venkatesh;Girdhar, Amandeep;Pudutha, Amareshwari;Hussain, Tajamul;Bandaru, Srinivas;Nayarisseri, Anuraj
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.16
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    • pp.7089-7095
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    • 2015
  • Clinical evidence shows that dual inhibition of kinases as well angiogenesis provides ideal therapeutic option in the treatment of medullary thyroid carcinoma (MTC) than inhibiting either of these with the events separately. Although treatment with dual inhibitors has shown good clinical responses in patients with MTC, it has been associated with serious side effects. Some inhibitors are active agents for both angiogenesis or kinase activity. Owing to narrow therapeutic window of established inhibitors, the present study aims to identify high affinity dual inhibitors targeting RET and VEGFR2 respectively for kinase and angiogenesis activity. Established inhibitors like Vandetanib, Cabozantinib, Motesanib, PP121, RAF265 and Sunitinib served as query parent compounds for identification of structurally similar compounds by Tanimoto-based similarity searching with a threshold of 95% against the PubChem database. All the parent inhibitors and respective similar compounds were docked against RET and VEGFR2 in order to retrieve high affinity compounds with these two proteins. AGN-PC-0CUK9P PubCID: 59320403 a compound related to PPI21 showed almost equal affinity for RET and VEGFR2 and unlike other screened compounds with no apparent bias for either of the receptors. Further, AGNPC- 0CUK9P demonstrated appreciable interaction with both RET and VEGFR2 and superior kinase activity in addition to showed optimal ADMET properties and pharmacophore features. From our in silico investigation we suggest AGN-PC-0CUK9P as a superior dual inhibitor targeting RET and VEGFR2 with high efficacy which should be proposed for pharmacodynamic and pharmacokinetic studies for improved treatment of MTC.

A Bitmap Index for Chunk-Based MOLAP Cubes (청크 기반 MOLAP 큐브를 위한 비트맵 인덱스)

  • Lim, Yoon-Sun;Kim, Myung
    • Journal of KIISE:Databases
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    • v.30 no.3
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    • pp.225-236
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    • 2003
  • MOLAP systems store data in a multidimensional away called a 'cube' and access them using way indexes. When a cube is placed into disk, it can be Partitioned into a set of chunks of the same side length. Such a cube storage scheme is called the chunk-based MOLAP cube storage scheme. It gives data clustering effect so that all the dimensions are guaranteed to get a fair chance in terms of the query processing speed. In order to achieve high space utilization, sparse chunks are further compressed. Due to data compression, the relative position of chunks cannot be obtained in constant time without using indexes. In this paper, we propose a bitmap index for chunk-based MOLAP cubes. The index can be constructed along with the corresponding cube generation. The relative position of chunks is retained in the index so that chunk retrieval can be done in constant time. We placed in an index block as many chunks as possible so that the number of index searches is minimized for OLAP operations such as range queries. We showed the proposed index is efficient by comparing it with multidimensional indexes such as UB-tree and grid file in terms of time and space.