• Journal of Digital Contents Society
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• v.19 no.4
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• pp.719-729
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• 2018

Abstract In 2017, it has been reported that Google had more than 90% of the market share in search-engines of desktops and mobiles. Most people may consider that Google surely searches the entire web area. However, according to many researches for web data, Google only searches less than 10%, surprisingly. The most region is called the Deep Web, and it is indexable by special search engines, which are different from Google because they focus on a specific segment of interest. Those engines build their own deep-web databases and run particular algorithms to provide accurate and professional search results. There is no search engine that indexes the entire Web, currently. The best way is to use several search engines together for broad and efficient searches as best as possible. This paper defines that kind of search engine as Hybrid Search Engine and provides characteristics and differences compared to conventional search engines, along with a frame of hybrid search engine.

• The KIPS Transactions:PartC
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• v.16C no.2
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• pp.223-228
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• 2009

Efficient service discovery mechanism is a crucial feature for a hybrid ad-hoc network supporting extension of a wireless ad-hoc network to the Internet. We propose an efficient cross-layer service discovery mechanism using non-disjoint multi-path source routing protocol for hybrid ad-hoc networks. Our scheme has advantages of multi-path routing protocol and cross-layer service discovery. Intuitively, it is not difficult to imagine that the cross-layer service discovery mechanism could result in a decreased number of messages compared to the traditional approach for handling routing independently from service discovery. By simulation, we show that faster route recovery is possible by maintaining multiple routing paths in each node, and the route maintenance overhead can be reduced by limiting the number of multiple routing paths and by maintaining link/node non-disjoint multi-path.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.3
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• pp.321-342
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• 2013

The purpose of this study was to compare and evaluate retrieval effectiveness of three types of image perception using different retrieval methods. Image types included specific, general, and abstract topics. The retrieval method included text only search, query by example (QBE) search, and a hybrid/hybrid search. Thirty-two college students were recruited for searching topics using Google image search system. The search results were compared with One-Way and Two-Way ANOVA. As a result, text search and hybrid search showed advantage when searching for specific and general topics. On the other hand, the QBE search performed better than both the text-only and hybrid search for abstract topics. The results have implications for the implementation of image retrieval systems.

• The Journal of the Acoustical Society of Korea
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• v.28 no.7
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• pp.674-679
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• 2009

This paper proposes a method of player event retrieval using combination of two functions: detection of player name in speech information and detection of sound event from audio information in golf videos. The system consists of indexing module and retrieval module. At the indexing time audio segmentation and noise reduction are applied to audio stream demultiplexed from the golf videos. The noise-reduced speech is then fed into speech recognizer, which outputs spoken descriptors. The player name and sound event are indexed by the spoken descriptors. At search time, text query is converted into phoneme sequences. The lists of each query term are retrieved through a description matcher to identify full and partial phrase hits. For the retrieval of the player name, this paper compares the results of word-based, phoneme-based, and hybrid approach.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1587-1590
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• 2012

인터넷의 활용이 보편화 됨에 따라 정보의 양은 급격히 늘어나고 있다. 이에 취업을 희망하는 구직자의 경우 IR 로부터 원하는 정보를 검색하기 위해 과거보다 더 많은 시간과 노력이 필요하게 되었다. 이에 본 논문에서는 TF(Term Frequency)기법을 통해 문서를 추출하고 추출된 문서의 Doc_ID 빈도수를 기준으로 한 내용기반과 군집기법을 혼합한 하이브리드 검색 시스템을 제안한다. 구직자들이 클릭한 취업정보들의 링크번호들을 K-means 알고리즘을 이용하여 군집화를 한다. 생성된 군집들은 각기 하나의 문서로 가정하고, 기존 문서과 더불어 검색 주제와 연관성을 갖고 있는 문서들을 동적비율로 검색 랭킹 하는 방식이다. 기존의 IR 기술과의 비교 실험을 통해 성능을 평가하였다. 실험결과 본 논문에서 제안한 방법이 기존의 방법보다 우수함을 확인할 수 있었다

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.151-166
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• 2020

A recommender system is a system that recommends products or services that best meet the preferences of each customer using statistical or machine learning techniques. Collaborative filtering (CF) is the most commonly used algorithm for implementing recommender systems. However, in most cases, it only uses purchase history or customer ratings, even though customers provide numerous other data that are available. E-commerce customers frequently use a search function to find the products in which they are interested among the vast array of products offered. Such search keyword data may be a very useful information source for modeling customer preferences. However, it is rarely used as a source of information for recommendation systems. In this paper, we propose a novel hybrid CF model based on the Doc2Vec algorithm using search keywords and purchase history data of online shopping mall customers. To validate the applicability of the proposed model, we empirically tested its performance using real-world online shopping mall data from Korea. As the number of recommended products increases, the recommendation performance of the proposed CF (or, hybrid CF based on the customer's search keywords) is improved. On the other hand, the performance of a conventional CF gradually decreased as the number of recommended products increased. As a result, we found that using search keyword data effectively represents customer preferences and might contribute to an improvement in conventional CF recommender systems.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.4
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• pp.203-220
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• 2015

This study was to suggest the creation of hybrid bibliographic records in complicated bibliographic environment applying both AACR2 and RDA for uniform display and correct search. The literature reviews and case studies were used as the research methods. In case studies, Kent State University, University of Houston as the libraries, and Backstage Library Works as algorithm converting to hybrid records were surveyed. For creating the hybrid records, it was needed to differentiate hybrid records and born RDA records, to keep the data that appeared in 250 tag without spelling out edition data, to maintain 260 tag instead of converting 260 tag to 264 tag, and last to design mapping table for converting GMD to CMC. This study would suggest uniform display and search through hybridization of bibliographic records of foreign resources.

• 한국IT서비스학회:학술대회논문집
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• 2008.05a
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• pp.425-430
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• 2008

USN의 발전으로 인해 인간 중심의 정보화 사회에서 사물 간에도 정보들을 유기적으로 결합하여 활용하는 유비쿼터스 컴퓨팅 사회로 급격히 변모하고 있다. 이러한 유비쿼터스 컴퓨팅 인프라를 성공적으로 구축하기 위해서는 센서노드에 대한 기술의 발전과 함께 USN 미들웨어에 대한 연구가 필요하다. USN의 핵심기술 중 하나인 USN 미들웨어는 시스템 소프트웨어로써 USN 응용에서 USN 계층의 자원과 데이타를 쉽게 활용할 수 있도록 다양한 기본 서비스를 제공한다. USN 디렉토리 서비스는 이와 같은 USN 미들웨어의 핵심 컴포넌트로서 USN 응용이 필요로 하는 USN 자원에 대한 정보를 검색하는 기능을 수행한다. 분산된 USN 자원에 대한 메타데이타의 효율적인 검색은 분산된 환경에서의 USN 디렉토리 서비스의 핵심요소이며 최근 이에 대한 연구가 보이고 있다. 분산 USN 디렉토리 서비스에서의 메타데이타 검색 모델은 크게 중앙 집중식(Centralized) 모델, 계층식(Hierarchical) 모델, P2P(Peer-to-Peer) 모델이 있다. 그러나 현재 메타데이타 검색 모델에 대한 연구는 원하는 메타데이타를 찾기 위한 서버 검색 회수만을 대상으로 하고 있으며 실제 단말 간 응답시간에 영향을 미치는 지연시간은 고려하지 않고 있다. 본 논문은 실제 단말 간 응답시간에 영향을 미치는 검색회수와 지연시간을 고려한 하이브리드 모델을 제안하고, 하이브리드 모델이 계층 모델에서 검색 시 불필요한 검색횟수의 증가와 P2P 모델의 광범위한 지역에서 응답시간이 증가하게 되는 단점을 개선할 수 있음을 보인다.

• Journal of the Earthquake Engineering Society of Korea
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• v.10 no.6 s.52
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• pp.57-65
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• 2006

This paper presents hybrid structural damage monitoring system which performs both global damage assessment of structure and damage detection of local structural joints. Hybrid damage monitoring system is composed of vibration-based technique and electro/mechanic impedance technique. Vibration-based technique detects global characteristic change ot structure using modal characteristic change of structure, and electro/mechanical impedance technique detects damage existence of local structural joints using impedance change of PZT sensor. For the verification of the proposed hybrid monitoring system, a series of damage scenarios are designed to loosened bolts situations of the structural joints, and acceleration response and impedance response signatures are measured. The proposed hybrid monitoring system is implemented to monitor global damage-state and local damages in structural joints.

• Electronics and Telecommunications Trends
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• v.29 no.3
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• pp.11-16
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• 2014

방송과 통신이 융합되면서 새로운 서비스들이 등장하고 있는데 서비스만 보고서는 방송서비스인지 통신서비스인지 분간이 힘든 기술들이 다수 등장하고 있다. 최근 스마트TV가 방송, 통신, 컴퓨팅의 대표적인 서비스로 부각되면서 멀티플랫폼 연동의 하이브리드 미디어서비스가 다양하게 개발되고 있다. 본 논문에서는 방송통신 융합서비스에 대해서 두 매체 간의 연관여부에 따라 2가지로 서비스를 분류하고 각 분류된 방식에 따른 다양한 하이브리드 미디어서비스의 실제 구현사례를 소개한다. 소개되는 서비스에는 개인형 홈스크린, 앱스토어, 콘텐츠 검색 및 추천, 패밀리톡, 대면 통신을 포함하는 스마트TV 홈스크린 기반 미디어 융합서비스와 하이브리드광고 서비스, 멀티앵글뷰 서비스, 멀티오디오 서비스를 포함하는 스마트TV 하이브리드 미디어서비스이다. 본 논문에서는 모든 서비스가 HTML5 기반의 웹브라우저에서 동작하도록 구현하였다.