• Title/Summary/Keyword: search interface

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Analysis of Regional Representative Public Libraries' Web Sites for Children's Information Service (지역대표도서관의 아동서비스용 웹사이트 분석)

  • Yoon, Hee-Yoon;Jang, Ki-Sub
    • Journal of Information Management
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    • v.38 no.4
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    • pp.22-47
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    • 2007
  • Most public libraries construct and operate their websites to provide the various user groups in local communities with internet access in Korea. But the representative public library's websites designed for children who are going to lead the next generation information based society, are unsatisfactory and don't reflect their approaches to information. The main factors of content and circumstance of usage are also extremely poor. Therefore, this research analyzed the construction of websites for children, their interface and design, search services, the contents of provincial representative public libraries amongst public libraries in korea and suggested improvement schemes.

Development of the Railroad Geotechnical Information Management System Using Web GIS (웹 GIS 기반 철도 지반정보 관리프로그램의 개발)

  • 황선근;이성혁;김현기;김정무
    • Journal of the Korean Society for Railway
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    • v.7 no.1
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    • pp.20-25
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    • 2004
  • Railroad geotechnical information management system was developed by using Web GIS and DB in this study. The standardization of railroad geotechnical information is progressed by classifying three groups as like basic informations, vibration informations along railway lines and design drawings. The basic informations consisted of basic and dynamic properties of soils, geophysical exploration and seismic survey/exploration. And the specification for 'human exposure to whole-body vibration' was adopted to construct the vibration informations along railway lines. The informations as like drawings and photographs were saved by changing to graphic files in the standardization of design drawings. In the case of standardization of geographical information, the topographical maps(NGIS, 1:5000) were primarily used as digital maps. Another digital maps(KRRI, 1:5000) and their geographical DB based on NGI code system were added on this maps. The standardized informations were used to construct their database. And railroad information management system was developed using Entity-Relation(ER) model which had a good feasibility for expansion and transition to other system in designing stage of database. This system consisted of layer selection, search and analysis of geotechnical informations and Zeus DB was adopted for GIS operating and user interface. This system could be a good tool for saving, searching and analyzing the geotechnical and geophysical informations. These DB systems would offered the basic informations to plans, design and construction of railroad lines etc. in practical use.

Malaria Epidemic Prediction Model by Using Twitter Data and Precipitation Volume in Nigeria

  • Nduwayezu, Maurice;Satyabrata, Aicha;Han, Suk Young;Kim, Jung Eon;Kim, Hoon;Park, Junseok;Hwang, Won-Joo
    • Journal of Korea Multimedia Society
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    • v.22 no.5
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    • pp.588-600
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    • 2019
  • Each year Malaria affects over 200 million people worldwide. Particularly, African continent is highly hit by this disease. According to many researches, this continent is ideal for Anopheles mosquitoes which transmit Malaria parasites to thrive. Rainfall volume is one of the major factor favoring the development of these Anopheles in the tropical Sub-Sahara Africa (SSA). However, the surveillance, monitoring and reporting of this epidemic is still poor and bureaucratic only. In our paper, we proposed a method to fast monitor and report Malaria instances by using Social Network Systems (SNS) and precipitation volume in Nigeria. We used Twitter search Application Programming Interface (API) to live-stream Twitter messages mentioning Malaria, preprocessed those Tweets and classified them into Malaria cases in Nigeria by using Support Vector Machine (SVM) classification algorithm and compared those Malaria cases with average precipitation volume. The comparison yielded a correlation of 0.75 between Malaria cases recorded by using Twitter and average precipitations in Nigeria. To ensure the certainty of our classification algorithm, we used an oversampling technique and eliminated the imbalance in our training Tweets.

A Test Case Generation Method for Data Distribution System of Submarine (잠수함 데이터 분산 시스템을 위한 테스트 케이스 생성 기법)

  • Son, Suik;Kang, Dongsu
    • KIPS Transactions on Software and Data Engineering
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    • v.8 no.4
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    • pp.137-144
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    • 2019
  • Testing maturity is critical to the system under development with lack of experience and skills in the acquisition of the weapon systems. Defects have a huge impact on important system operations. Sharing real-time information will lead to rapid command and mission capability in submarine. DDS(Data Distribution System) is a very important information sharing system and interface between various manufacturers or data formats. In this paper, we analyze data distribution characteristics of distributed data system to group data-specific systems and proposes a test case-generation method using path search of postorder and preorder which is a tree traversal in path testing method. The proposed method reduces 73.7.% testing resource compare to existing methods.

An Evaluative Analysis of 'U-KNOU Campus' System and its Mobile Platform

  • Seol, Jinah
    • Journal of Internet Computing and Services
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    • v.20 no.5
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    • pp.79-86
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    • 2019
  • This paper is an overview of key elements of Korea National Open University's smart mobile learning system, and an attempt to evaluate its main services relative to the FRAME model and the Mobile Learning Development Model for distance learning in higher education. KNOU improved its system architecture to one based on xMOOC e-learning content delivery while also upgrading its PC-based online/mobile learning services to facilitate an easier and more convenient access to lectures and for better interactivity. From the users' viewpoint, the upgraded 'U-KNOU Campus' allows for a more integrated search capability coupled with better course recommendations and a customized notification service. Using the new system, the students can access not only the school- and peer-issued messages via online bulletin boards but also share information and pose questions to others including to the school faculty/officials and system administrators. Additionally, a new mobile payment method has been incorporated into the system so that the students can select and pay for additional courses from anywhere. In spite of these advances, the issue of device usability and content development remain; specifically U-KNOU Campus needs to improve its instructor-learner and learner-to-learner interactivity and mobile evaluation interface.

Bone loss-related factors in tissue and bone level dental implants: a systematic review of clinical trials

  • Mortazavi, Hamed;Khodadoustan, Amin;Kheiri, Aida;Kheiri, Lida
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.47 no.3
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    • pp.153-174
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    • 2021
  • Dental implants are popular for dental rehabilitation after tooth loss. The goal of this systematic review was to assess bone changes around bone-level and tissue-level implants and the possible causes. Electronic searches of PubMed, Google Scholar, Scopus, and Web of Science, and a hand search limited to English language clinical trials were performed according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines up to September 2020. Studies that stated the type of implants used, and that reported bone-level changes after insertion met the inclusion criteria. The risk of bias was also evaluated. A total of 38 studies were included. Eighteen studies only used bone-level implants, 10 utilized tissue-level designs and 10 observed bone-level changes in both types of implants. Based on bias assessments, evaluating the risk of bias was not applicable in most studies. There are vast differences in methodologies, follow-ups, and multifactorial characteristics of bone loss around implants, which makes direct comparison impossible. Therefore, further well-structured studies are needed.

Biomechanical evaluations of the long-term stability of dental implant using finite element modeling method: a systematic review

  • Hosseini-Faradonbeh, Seyed Aref;Katoozian, Hamid Reza
    • The Journal of Advanced Prosthodontics
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    • v.14 no.3
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    • pp.182-202
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    • 2022
  • PURPOSE. The aim of this study is to summarize various biomechanical aspects in evaluating the long-term stability of dental implants based on finite element method (FEM). MATERIALS AND METHODS. A comprehensive search was performed among published studies over the last 20 years in three databases; PubMed, Scopus, and Google Scholar. The studies are arranged in a comparative table based on their publication date. Also, the variety of modeling is shown in the form of graphs and tables. Various aspects of the studies conducted were discussed here. RESULTS. By reviewing the titles and abstracts, 9 main categories were extracted and discussed as follows: implant materials, the focus of the study on bone or implant as well as the interface area, type of loading, element shape, parts of the model, boundary conditions, failure criteria, statistical analysis, and experimental tests performed to validate the results. It was found that most of the studied articles contain a model of the jaw bone (cortical and cancellous bone). The material properties were generally derived from the literature. Approximately 43% of the studies attempted to examine the implant and surrounding bone simultaneously. Almost 42% of the studies performed experimental tests to validate the modeling. CONCLUSION. Based on the results of the studies reviewed, there is no "optimal" design guideline, but more reliable design of implant is possible. This review study can be a starting point for more detailed investigations of dental implant longevity.

Development of Tourism Information Named Entity Recognition Datasets for the Fine-tune KoBERT-CRF Model

  • Jwa, Myeong-Cheol;Jwa, Jeong-Woo
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.2
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    • pp.55-62
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    • 2022
  • A smart tourism chatbot is needed as a user interface to efficiently provide smart tourism services such as recommended travel products, tourist information, my travel itinerary, and tour guide service to tourists. We have been developed a smart tourism app and a smart tourism information system that provide smart tourism services to tourists. We also developed a smart tourism chatbot service consisting of khaiii morpheme analyzer, rule-based intention classification, and tourism information knowledge base using Neo4j graph database. In this paper, we develop the Korean and English smart tourism Name Entity (NE) datasets required for the development of the NER model using the pre-trained language models (PLMs) for the smart tourism chatbot system. We create the tourism information NER datasets by collecting source data through smart tourism app, visitJeju web of Jeju Tourism Organization (JTO), and web search, and preprocessing it using Korean and English tourism information Name Entity dictionaries. We perform training on the KoBERT-CRF NER model using the developed Korean and English tourism information NER datasets. The weight-averaged precision, recall, and f1 scores are 0.94, 0.92 and 0.94 on Korean and English tourism information NER datasets.

Development of the Recommender System of Arabic Books Based on the Content Similarity

  • Alotaibi, Shaykhah Hajed;Khan, Muhammad Badruddin
    • International Journal of Computer Science & Network Security
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    • v.22 no.8
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    • pp.175-186
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    • 2022
  • This research article develops an Arabic books' recommendation system, which is based on the content similarity that assists users to search for the right book and predict the appropriate and suitable books pertaining to their literary style. In fact, the system directs its users toward books, which can meet their needs from a large dataset of Information. Further, this system makes its predictions based on a set of data that is gathered from different books and converts it to vectors by using the TF-IDF system. After that, the recommendation algorithms such as the cosine similarity, the sequence matcher similarity, and the semantic similarity aggregate data to produce an efficient and effective recommendation. This approach is advantageous in recommending previously unrated books to users with unique interests. It is found to be proven from the obtained results that the results of the cosine similarity of the full content of books, the results of the sequence matcher similarity of Arabic titles of the books, and the results of the semantic similarity of English titles of the books are the best obtained results, and extremely close to the average of the result related to the human assigned/annotated similarity. Flask web application is developed with a simple interface to show the recommended Arabic books by using cosine similarity, sequence matcher similarity, and semantic similarity algorithms with all experiments that are conducted.

Construction of Database for Deep Learning-based Occlusion Area Detection in the Virtual Environment (가상 환경에서의 딥러닝 기반 폐색영역 검출을 위한 데이터베이스 구축)

  • Kim, Kyeong Su;Lee, Jae In;Gwak, Seok Woo;Kang, Won Yul;Shin, Dae Young;Hwang, Sung Ho
    • Journal of Drive and Control
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    • v.19 no.3
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    • pp.9-15
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    • 2022
  • This paper proposes a method for constructing and verifying datasets used in deep learning technology, to prevent safety accidents in automated construction machinery or autonomous vehicles. Although open datasets for developing image recognition technologies are challenging to meet requirements desired by users, this study proposes the interface of virtual simulators to facilitate the creation of training datasets desired by users. The pixel-level training image dataset was verified by creating scenarios, including various road types and objects in a virtual environment. Detecting an object from an image may interfere with the accurate path determination due to occlusion areas covered by another object. Thus, we construct a database, for developing an occlusion area detection algorithm in a virtual environment. Additionally, we present the possibility of its use as a deep learning dataset to calculate a grid map, that enables path search considering occlusion areas. Custom datasets are built using the RDBMS system.