• Title/Summary/Keyword: hybrid-web

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Classification of Web Search Engines and Necessity of a Hybrid Search Engine (웹 검색엔진 분류 및 하이브리드 검색엔진의 필요성)

  • Paik, Juryon
    • 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.

A Hybrid Platform Technology for Personalization Service based on Contents of Open Software (공개 소프트웨어 콘텐츠의 기반한 개인화 서비스를 위한 하이브리드 플랫폼 기술)

  • Hong, Yo-Hoon;Park, Sungkon
    • Journal of Digital Contents Society
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    • v.15 no.4
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    • pp.465-471
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    • 2014
  • This paper, describes software hybrid platform that display a individual service environment, a standard concomitant web-browsing with interface form by WYSIWYG method webpage specific location as webpage addition without professional programming skill. That provides a controlled individual service working environment, personal platform of low cost/high efficiency the exiting internet webpage without modification. so these skill provide software or contents surfing web site that browsing web site and a distribution environment. this paper proposes a individual hybrid platform of compositional ecosystem that enrich a exiting web site.

Preparation of High Performance Hybrid Chemical Filter using Hot Melt Adhesive by Web Spray and Their Adsorption Properties (핫멜트 Web spray법을 이용한 고기능성 복합 화학필터의 제조 및 흡착특성)

  • Choi, Yong Jae;Shin, Kyoung Sub;Hwang, Taek Sung
    • Journal of Adhesion and Interface
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    • v.10 no.3
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    • pp.141-147
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    • 2009
  • In this study, the high performance hybrid chemical filter (HPHCF) was prepared by web spray using hot melt adhesive. The material of HPHCF was conditionally made of ion exchange resin and PP non-woven fabric. The optimum temperature and pressure for manufacturing of HPHCF conditions were such as $170^{\circ}C$ and 50 psi, respectively. The characteristics of preparated HPHCF and their adsorption properties of ammonia gas were investigated. The ion exchange capacity (IEC) of HPHCF was increased with increasing the resin contents and their values were higher than pure resin and ion exchange fabrics. The removal efficiency for ammonia gas increased with the increase of packing density of hybrid ion exchange fabrics in the column. It showed 13 min which the adsorption breakthrough time was slower than resin and fibers. The maximum value of adsorption for ammonia gas was 98 percent. And also, the velocity was increased with increasing concentration and flow rate of ammonia gas.

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Web Recommendation Mechanism Based on Case-Based Reasoning and Web Data Mining

  • Kim, Jin-Sung
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2002.12a
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    • pp.443-446
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    • 2002
  • In this research, we suggest a Web-based hybrid recommendation mechanism using CBR (Case-Based Reasoning) and web data mining. Data mining is used as an efficient mechanism in reasoning for relationship between goods, customers' preference and future behavior. CBR systems are normally used in problems for which it is difficult to define rules. We use CBR as an AI tool to recommend the similar purchase case. A Web-log data gathered in real-world Internet shopping mall was given to illustrate the quality of the proposed mechanism. The results showed that the CBR and web data mining-based hybrid recommendation mechanism could reflect both association knowledge and purchase information about our former customers.

Dynamic Recommendation System of Web Information Using Ensemble Support Vector Machine and Hybrid SOM (앙상블 Support Vector Machine과 하이브리드 SOM을 이용한 동적 웹 정보 추천 시스템)

  • Yoon, Kyung-Bae;Choi, Jun-Hyeog
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.4
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    • pp.433-438
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    • 2003
  • Recently, some studies of a web-based information recommendation technique which provides users with the most necessary information through websites like a web-based shopping mall have been conducted vigorously. In most cases of web information recommendation techniques which rely on a user profile and a specific feedback from users, they require accurate and diverse profile information of users. However, in reality, it is quite difficult to acquire this related information. This paper is aimed to suggest an information prediction technique for a web information service without depending on the users'specific feedback and profile. To achieve this goal, this study is to design and implement a Dynamic Web Information Prediction System which can recommend the most useful and necessary information to users from a large volume of web data by designing and embodying Ensemble Support Vector Machine and hybrid SOM algorithm and eliminating the scarcity problem of web log data.

A Novel Security Scheme with Message Level Security for Hybrid Applications

  • Ma, Suoning;Joe, Inwhee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.04a
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    • pp.215-217
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    • 2016
  • With the popularity of smart device, mobile applications are playing more and more important role in people's daily life, these applications stores various information which greatly facilitate the user's daily life. However due to the frequent transmission of data in the network also increases the risk of data leakage, more and more developers began to focus on how to protect user data. Current mainstream development models include Native development, Web development and Hybrid development. Hybrid development is based on JavaScript and HTML5, it has a cross platform advantages similar to Web Apps and a good user experience similar to Native Apps. In this paper according to the features of Hybrid applications, we proposed a security scheme in Hybrid development model implements message-level data encryption to protect user information. And through the performance evaluation we found that in some scenario the proposed security scheme has a better performance.

Static and Free Vibration Analyses of Hybrid Girders by the Equivalent Beam Theory (등가보 이론을 이용한 복합 거더의 정적 및 자유진동 해석)

  • Choi, In-Sik;Yeo, In-Ho
    • Proceedings of the KSR Conference
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    • 2007.05a
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    • pp.1068-1073
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    • 2007
  • 3D finite element analyses of a corrugated steel web girder and a steel truss web girder are conducted to investigate the static and dynamic behaviour of the hybrid girders. And the analyses results are compared with those by the equivalent beam theory. The equivalent theory is a theory that all section properties of a truss structure are replaced by section properties of a beam including the shear coefficient. When applying the equivalent beam theory, the shear coefficient of the corrugated steel web girder is estimated as the area ratio of total section to web section and that of the steel truss web girder is calculated by the equation proposed by Dewolf. Static deflections and natural frequencies by 3D finite element analyses and the those by the equivalent beam theory are relatively in good agreement.

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Implementation of HTML5-based Hybrid Mobile Office System (HTML5 기반의 하이브리드 모바일 오피스 시스템 구현)

  • Choi, Yong-Kyu;Lee, Bong-Hwan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.10a
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    • pp.725-729
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    • 2012
  • In this paper, the standardization of the Web technology of HTML5/CSS3 and JQuery Mobile, using a variety of mobile platforms, run independently within an environment as possible to implement the Mobile Office System. In addition, user friendly Web interface and dynamic web design through a mobile device in a Mobile Office system provides convenience to the user when a hybrid Web application based mobile office system implement.

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Preparation of Hybrid Cation Ion Exchange Fibers by Web Spray and Their Adsorption Properties for Ammonia Gas (Web Spray 법을 이용한 복합 양이온교환섬유의 제조 및 암모니아 흡착특성)

  • Park, Seong-Wook;Lee, Hoo-Kun;Rhee, Young-Woo;Jung, Boo-Young;Hwang, Taek-Sung
    • Polymer(Korea)
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    • v.31 no.6
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    • pp.479-484
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    • 2007
  • In this study, the hybrid ion exchange fibers (HIEF) were prepared by using web spraying muthod with hot melt adhesive. Characteristics of HIEF and their adsorption properties for ammonia gas were investigated. The ion exchange capacity (IEC) of HIEF was increased with increasing the resin contents and their values were higher than those of pure resin and ion exchange fabrics. The removal efficiency for ammonia gas increased with an increase in packing density of hybrid ion exchange fabrics in the column. The adsorption breakthrough time was 270 min, which was slower than those of the resin and fibers. The maximum value of adsorption for ammonia gas was 94%. The breakthrough time was also increased with increasing the concentration and flow rate of ammonia gas. The reaction constant(k) for ammonia gas was increased with increasing the concentration and flow rate of the gas, while it was decreased an the mass was increased.

Dynamic Web Recommendation Method Using Hybrid SOM (하이브리드 SOM을 이용한 동적 웹 정보 추천 기법)

  • Yoon, Kyung-Bae;Park, Chang-Hee
    • The KIPS Transactions:PartB
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    • v.11B no.4
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    • pp.471-476
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    • 2004
  • Recently, provides information which is most necessary to the user the research against the web information recommendation system for the Internet shopping mall is actively being advanced. the back which it will drive in the object. In that Dynamic Web Recommendation Method Using SOM (Self-Organizing Feature Maps) has the advantages of speedy execution and simplicity but has the weak points such as the lack of explanation on models and fired weight values for each node of the output layer on the established model. The method proposed in this study solves the lack of explanation using the Bayesian reasoning method. It does not give fixed weight values for each node of the output layer. Instead, the distribution includes weight using Hybrid SOM. This study designs and implements Dynamic Web Recommendation Method Using Hybrid SOM. The result of the existing Web Information recommendation methods has proved that this study's method is an excellent solution.