• Title/Summary/Keyword: search interface

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A Classification Method of Anthropometric Variables for Improved Usability of Anthropometric Data (인체측정자료의 사용성 제고를 위한 인체측정변수 분류 방법)

  • Yu, Hui-Cheon;Sin, Seung-U;Ryu, Tae-Beom
    • Journal of the Ergonomics Society of Korea
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    • v.23 no.3
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    • pp.13-24
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    • 2004
  • Anthropometric data is a fundamental resource in developing ergonomic products and workplaces. However, designers often experience difficulty in searching anthropometric data relevant to the design due to the technicality of anthropometric terminologies, ambiguity in the description of measurement method for some anthropometric variables, and inefficiency of existing search methods for anthropometric data. The present study suggests a method to develop a classification system of anthropometric variables for systematic, efficient search of anthropometric data. The proposed method first classifies anthropometric variables according to body segment and type of variable, and then arranges anthropometric variables of the same body segment and variable type by comparing the heights of their reference points. The proposed classification method was applied to establish a classification system of 66 anthropometric variables that were selected for an automotive interior design. Then the established anthropometric classification system was utilized to design a search interface of a web-based anthropometric data retrieval system.

An Approach to Art Collections Management and Content-based Recovery

  • De Celis Herrero, Concepcion Perez;Alvarez, Jaime Lara;Aguilar, Gustavo Cossio;Garcia, Maria Josefa Somodevilla
    • Journal of Information Processing Systems
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    • v.7 no.3
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    • pp.447-458
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    • 2011
  • This study presents a comprehensive solution to the collection management, which is based on the model for Cultural Objects (CCO). The developed system manages and spreads the collections that are safeguarded in museums and galleries more easily by using IT. In particular, we present our approach for a non-structured search and recovery of the objects based on the annotation of artwork images. In this methodology, we have introduced a faceted search used as a framework for multi-classification and for exploring/browsing complex information bases in a guided, yet unconstrained way, through a visual interface.

A Development of Exploration System for Marine Resource (해양자원 원격 탐사시스템 개발)

  • Kim, Young-Jin;Cho, Young-June
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.1125-1126
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    • 2008
  • Currently for exploring marine resources, After confirming the location of the resources by controlling search equipment and sensor module, the method which collects sample of searched resources and analyzes the quality and a contents of the resources in research vessel is been applying. This search method is structure which analyzes an ingredient in ship and decides the quality of the resources. And real-time processing for an effective resources search is been demanding. Therefore we have developed a exploration system of marine resource that can display the type feature of resources by Graphic User Interface.

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Intelligent Retrieval System with Interactive Voice Support (대화형 음성 지원을 통한 지능형 검색 시스템)

  • Moon, K.J.;Yoo, Y.S.
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.9 no.1
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    • pp.29-35
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    • 2015
  • In this paper, we propose a intelligent retrieval system with interactive voice support. The developed system helps to find misrecognized words by using the relationship between lexical items in a sentence recognition and present the correct vocabulary. In this study, we implement a simulation system that can be proposed to determine the usefulness of the product search assistance system which offers applications. Experimental results were confirmed to correct the wrong speech recognition vocabulary in a simple user interface to help the product search.

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Search Ranking System Using Modification Relation and Improved Search Engine Interface to Enhance Search Experience (수식 관계를 이용한 검색 결과 랭킹 시스템과 향상된 검색 엔진 인터페이스를 통한 검색 과정의 효율성 향상)

  • Moon, Ukseong;Choi, Joo-Won
    • Annual Conference on Human and Language Technology
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    • 2007.10a
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    • pp.250-253
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    • 2007
  • 본 논문에서는 현재 검색 엔진의 랭킹 방식의 문제점과 인터페이스의 문제점을 해결하기 위하여 노력하였다. 기존의 페이지간 링크와 같은 부가적 정보를 이용한 인기도 기반 랭킹의 문제점을 단어간의 수식 관계를 이용한 의미 기반 랭킹 알고리즘의 제시를 통해 해결하였다. 또한 검색어와 연관된 단어를 수식 관계를 이용하 계산, 시각화하여 제공함으로써 사용자가 잘못된 검색어로 검색을 시작하였더라도 항상 올바른 검색 결과를 얻을 수 있도록 도왔으며 각 검색 결과와 함께 원문을 요약해 제공함으로써 검색 결과를 일일이 클릭해 보지 않고도 내용을 쉽게 유추할 수 있도록 도왔다.

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Document Classification Model Using Web Documents for Balancing Training Corpus Size per Category

  • Park, So-Young;Chang, Juno;Kihl, Taesuk
    • Journal of information and communication convergence engineering
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    • v.11 no.4
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    • pp.268-273
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    • 2013
  • In this paper, we propose a document classification model using Web documents as a part of the training corpus in order to resolve the imbalance of the training corpus size per category. For the purpose of retrieving the Web documents closely related to each category, the proposed document classification model calculates the matching score between word features and each category, and generates a Web search query by combining the higher-ranked word features and the category title. Then, the proposed document classification model sends each combined query to the open application programming interface of the Web search engine, and receives the snippet results retrieved from the Web search engine. Finally, the proposed document classification model adds these snippet results as Web documents to the training corpus. Experimental results show that the method that considers the balance of the training corpus size per category exhibits better performance in some categories with small training sets.

Feature Transformation based Music Retrieval System

  • Heo, Jung-Im;Yang, Jin-Mo;Kim, Dong-Hyun;Yoon, Kyoung-Ro;Kim, Won-Il
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.8 no.3
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    • pp.192-195
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    • 2008
  • People have tendency of forgetting music title, though they easily remember particular part of music. If a music search system can find the title through a part of melody, this will provide very convenient interface to users. In this paper, we propose an algorithm that enables this type of search using feature transformation function. The original music is transformed to new feature information with sequential melodies. When a melody that is a part of search music is given to the system, the music retrieval system searches the music similar to the feature information of the melody. Moreover, this transformation function can be easily extended to various music recognition systems.

Android Application for Connecting Cycling Routes on Strava Segments

  • Mulasastra, Intiraporn;Kao-ian, Wichpong
    • Journal of information and communication convergence engineering
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    • v.17 no.2
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    • pp.142-148
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    • 2019
  • Relatively few countries provide separate bicycle lanes for cyclists. Hence, tools for suggesting cycling routes are essential for a safe and pleasant cycling experience. This study aims to develop a mobile application to build cycling routes based on user preferences, specifically location, search radius, ride distance, and number of optimal routes. Our application calls the Strava API to retrieve Strava cycling segments crowdsourced from the cycling community. Then, it creates a graph consisting of the start and end points of these segments. Beginning from a user-specified location, the depth-first search algorithm (DFS) is applied to find routes that conform to the user's preferences. Next, a set of optimal routes is obtained by computing a trade-off ratio for every discovered route. This ratio is calculated from the lengths of all segments and the lengths of all connecting paths. The connected routes can be displayed on a map on an Android device or exported as a GPX file to a bike computer. Future work must be performed to improve the design of the user interface and user experience.

A Study on the Optimal User/Librarian Interface in Information Searching (정보탐색에 있어서 이용자/사서의 최적화 접속에 관한 연구)

  • Kim Sun-Ho
    • Journal of the Korean Society for Library and Information Science
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    • v.26
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    • pp.167-185
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    • 1994
  • The purpose of this study is to develop the optimal user/librarian interface in information searching. In order to achive the purpose, the 150 unskilled students as subjects have participated in the study. According to the change of the subjects' psychological information states by the access points within the library system, the subjects have been classified into the five types of model: the initial information state, the accepted identification information state, the bibliographic information state, the stack information state, and the location information state. Librarian's searching support is done for 10 minutes at the each access points. To develop the optimal user/librarian interface, the expected values of the models are calculated. The resultants are as follows: 1) The expected value of the initial information states model is 18.94: 2) The expected value of the accepted identification information model is 27.06: 3) The expected value of the bibliographic information state model is 27.06: 4) The expected value of the stack information state model is 22.38: 5) The expected value of the location information state model is 22.38. Those expected values are compared with each other. The model with the lowest expected value is chosen as the optimal user/librarian interface model. In the result, the user's initial information state model of the optimal user/librarian interface in information searching is developed. In order to search the information with the most effect, user must be interfaced with the librarian at his/her own initial information state.

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A knowledge-based DSS for the decision making under multi-objectives

  • 최용선;김성의
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1992.04b
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    • pp.267-277
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    • 1992
  • 본 논문은 다목적선형계획법을 위한 Decision Support System ASEOV-VIM을 소개하고 있다. ASEOV-VIM에는 1) efficient solution set전체에 대한 개괄과 search direction을 제새하는 ASEOV; 2) decision maker의 preference information을 도출해내는 VIM; 3) 위 두 부분간의 interface로 활용되는 Mediator등 3개의 하부시스템이 있다. ASEOV-VIM은 TURBO-C를 이용하여 personal computer에 구현되었다.

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