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A Tree-Based Indexing Method for Mobile Data Broadcasting (모바일 데이터 브로드캐스팅을 위한 트리 기반의 인덱싱 방법)

  • Park, Mee-Hwa;Lee, Yong-Kyu
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.4
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    • pp.141-150
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    • 2008
  • In this mobile computing environment, data broadcasting is widely used to resolve the problem of limited power and bandwidth of mobile equipments. Most previous broadcast indexing methods concentrate on flat data. However. with the growing popularity of XML, an increasing amount of information is being stored and exchanged in the XML format. We propose a novel indexing method. called TOP tree(Tree Ordering based Path summary tree), for indexing XML document on mobile broadcast environments. TOP tree is a path summary tree which provides a concise structure summary at group level using global IDs and element information at local level using local IDs. Based on the TOP tree representation, we suggest a broadcast stream generation and query Processing method that efficiently handles not only simple Path queries but also multiple path queries. We have compared our indexing method with other indexing methods. Evaluation results show that our approaches can effectively improve the access time and tune-in time in a wireless broadcasting environment.

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Identification of sentiment keywords association-based hotel network of hotel review using mapper method in topological data analysis (Topological Data Analysis 기법을 활용한 호텔 리뷰데이터의 감성 키워드 기반 호텔 관계망 구축)

  • Jeon, Ye-Seul;Kim, Jeong-Jae
    • The Korean Journal of Applied Statistics
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    • v.33 no.1
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    • pp.75-86
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    • 2020
  • Hotel review data can extract various information that includes purchasing factors that lead to consumption, advantages, and disadvantages for hotels. In particular, the sentiment keyword of the review data helps consumers understand the pros and cons of hotels. However, it is not efficient for consumers to read a large number of reviews. Therefore, it is necessary to offer a summary review to customers. In this study, we suggest providing summary information on sentiment keywords association as well as a network of hotels based on sentiment keywords. Based on a sentiment keyword dictionary, the extracted sentiment keywords associations construct the hotel network through topological data analysis based mapper. This hotel network allows a consumer to find some hotels associated with specific sentiment keywords as well as recommends the same related hotels. This summary information provides users with a summarized emotional assessment of hotels and helps hotel marketing teams understand consumers' perceptions of their hotel.

The Effects of the Science Writing Heuristic Approach on the Middle School Students' Achievements (중학생의 성취 수준에 따른 탐구적 과학 글쓰기(Science Writing Heuristic) 수업의 효과)

  • Shin, Soyoung;Choi, Aeran;Park, Jong-Yoon
    • Journal of The Korean Association For Science Education
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    • v.33 no.5
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    • pp.952-962
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    • 2013
  • The purpose of this study was to investigate the effects of the Science Writing Heuristic (SWH) approach on the students' summary writing, logical thinking and achievements for the course. Participants in this study were 132 female students from a girls' middle school. The SWH approach was used for two experimental classes and the typical teacher-centered instructional approach was used for two comparative classes. Summary writing test, logical thinking test (GALT) and achievement test for the course were administered before and after the instruction period. Results of this study indicated that the SWH approach was helpful for students in finding big ideas, understanding science concepts, developing logical thinking abilities and doing well in the course. This study also implied that the SWH approach was effective for the low achieving students.

A Study of Comparing the Paper-Based Medical Record with the Electronic Medical Record on the Level of Medical Record Completeness and the Accordance (종이의무기록과 전자의무기록의 기재 충실도 및 일치도 비교 연구 : 의사의 입원.퇴원기록지와 간호사의 입원.퇴원간호정보기록지를 중심으로)

  • Shin, A-Mi;Jung, Sun-Ju;Lee, In-Hee;Son, Chang-Sic;Park, Hee-Joon;Kim, Yoon-Nyun;Youn, Kyung-Il
    • Korea Journal of Hospital Management
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    • v.15 no.1
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    • pp.1-12
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    • 2010
  • This study was tried to evaluate the level of completeness and the accordance in electronic medical records by comparing paper-based medical record in doctor's admission records, discharge summary, and nursing information records. Medical records of inpatients of neurology department that the 100 paper-based medical records in 2004 and 100 electronic medical records in 2006 were targeted. Existence of record items and doctor-nurse record accordance were evaluated in doctor's admission record, discharge summary, admission nursing information record, and discharge nursing information record. There were not any differences between electronic medical records and paper-based medical records in doctor's admission record and discharge summary. Electronic medical records had less missing records than paper-based medical records in admission and discharge nursing information records. Electronic medical records showed higher accordance than the paper-based medical record in doctor-nurse record generally, but there were statistically differences in only medication, allergy, smoking, and drinking (p<0.05). In this study, it was verified that the quality of electronic medical records are better than paper-based records in nursing information record and doctor-nurse record agreement.

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An Improved Automatic Text Summarization Based on Lexical Chaining Using Semantical Word Relatedness (단어 간 의미적 연관성을 고려한 어휘 체인 기반의 개선된 자동 문서요약 방법)

  • Cha, Jun Seok;Kim, Jeong In;Kim, Jung Min
    • Smart Media Journal
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    • v.6 no.1
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    • pp.22-29
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    • 2017
  • Due to the rapid advancement and distribution of smart devices of late, document data on the Internet is on the sharp increase. The increment of information on the Web including a massive amount of documents makes it increasingly difficult for users to understand corresponding data. In order to efficiently summarize documents in the field of automated summary programs, various researches are under way. This study uses TextRank algorithm to efficiently summarize documents. TextRank algorithm expresses sentences or keywords in the form of a graph and understands the importance of sentences by using its vertices and edges to understand semantic relations between vocabulary and sentence. It extracts high-ranking keywords and based on keywords, it extracts important sentences. To extract important sentences, the algorithm first groups vocabulary. Grouping vocabulary is done using a scale of specific weight. The program sorts out sentences with higher scores on the weight scale, and based on selected sentences, it extracts important sentences to summarize the document. This study proved that this process confirmed an improved performance than summary methods shown in previous researches and that the algorithm can more efficiently summarize documents.

An Extension of the DBMax for Data Warehouse Performance Administration (데이터 웨어하우스 성능 관리를 위한 DBMax의 확장)

  • Kim, Eun-Ju;Young, Hwan-Seung;Lee, Sang-Won
    • The KIPS Transactions:PartD
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    • v.10D no.3
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    • pp.407-416
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    • 2003
  • As the usage of database systems dramatically increases and the amount of data pouring into them is massive, the performance administration techniques for using database systems effectively are getting more important. Especially in data warehouses, the performance management is much more significant mainly because of large volume of data and complex queries. The objectives and characteristics of data warehouses are different from those of other operational systems so adequate techniques for performance monitoring and tuning are needed. In this paper we extend functionalities of the DBMax, a performance administration tool for Oracle database systems, to apply it to data warehouse systems. First we analyze requirements based on summary management and ETL functions they are supported for data warehouse performance improvement in Oracle 9i. Then, we design architecture for extending DBMax functionalities and implement it. In specifics, we support SQL tuning by providing details of schema objects for summary management and ETL processes and statistics information. Also we provide new function that advises useful materialized views on workload extracted from DBMax log files and analyze usage of existing materialized views.

The Relationship between Health-related Quality of Life and Yangseng Level among Blue-Collar Workers (일부(一部) 생산직(生産職) 근로자(勤勞者)들의 건강관련(健康關聯) 삶의 질(質)과 양생수준(養生水準)과의 관계(關係))

  • Bae, Jae-Ryong;Jeong, Myong-Soo;Lee, Ki-Nam
    • Journal of Society of Preventive Korean Medicine
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    • v.12 no.1
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    • pp.1-17
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    • 2008
  • Objective : This research was done to discover whether or not workers' health related quality of life(HRQOL) depends on their own Yangseng(養生) level, which is also known as one's care of one's health, and also if their HRQOL is affected by the level, to what extent. The subjects of the study were blue-collar workers of a workplace. Method : Blue-collar workers of a workplace were asked to fill out their pre-organized questionaires given to them by their company as a process of health examination. The questionaires carried questions regarding their levels of Yangseng and their HRQOL. For the purpose of the research, a total of 961 data were selected from the questionaires filled out by the blue-collar workers and then analyzed. Result : Each workers's level of Yangseng becomes high or low by one or all of general characteristics. With regard to Yangseng level according to health-related lifestyle were found to have a relatively higher level of Yangseng. With reference to HRQOL according to general characteristics, those in the 20s were found to have a physical summary scale(PCS), but no significant difference was found in the other scales. As regards the quality of life(QOL) according to health-related lifestyle, those who exercise regularly were found to have a relatively higher PCS, while no smokers, those who do not drink alcoholic, and those who sleep at least seven hours a day were found to have a relatively higher mental summary scale(MCS). As to the relation between the level of Yangseng and HRQOL, the level of Yangseng was found to have an interrelation with PCS and MCS in terms of its degree. Statistics also show that each area of Yangseng level has a significant impact on the two qualities-PCS and MCS. Conclusion : One who has a higher level of Yangseng was found to be the one who enjoys a higher HRQOL. Specially, the three kinds of habits that are good for good health -non-smoking, no drinking and seeping seven hours a day- were found to be able to improve the QOL. In this respect, those who want to stay healthy are recommended to cultivate a healthier habit of living.

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Spatial Selectivity Estimation using Cumulative Wavelet Histograms (누적밀도 웨이블릿 히스토그램을 이용한 공간 선택율 추정)

  • Chi, Jeong-Hee;Jeong, Jae-Hyuk;Ryu, Keun-Ho
    • Journal of KIISE:Databases
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    • v.32 no.5
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    • pp.547-557
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    • 2005
  • The purpose of selectivity estimation is to maintain the summary data in a very small memory space and to minimize the error of estimated value and query result. In case of estimating selectivity for large spatial data, the existing works need summary information which reflect spatial data distribution well to get the exact result for query. In order to get such summary information, they require a much memory space. Therefore In this paper, we propose a new technique cumulative density wavelet Histogram, called CDW Histogram, which gets a high accurate selectivity in small memory space. The proposed method is to utilize the sub-histograms created by CD histogram. The each sub-histograms are used to generate the wavelet summary information by applying the wavelet transform. This fact gives us good selectivity even if the memory sire is very small. The experimental results show that the proposed method simultaneously takes full advantage of their strong points - gets a good selectivity using the previous histogram in ($25\%\~50\%$) memory space and is superior to the existing selectivity estimation techniques. The proposed technique can be used to accurately quantify the selectivity of the spatial range query in databases which have very restrictive memory.

Factors influencing the Sexual Identity Formation of Sexual Minorities (LGB) in Korea: A Qualitative Meta-Summary (국내 성소수자의 성정체성 형성에 영향을 미치는 요인에 관한 질적 메타요약)

  • Pyo, Sohwi;Lee, Seul Ah;Jang, Aekyung;Lee, Joonwoo;Lee, Eunbi;Yang, Eunjoo
    • Korean Journal of Culture and Social Issue
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    • v.28 no.2
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    • pp.241-272
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    • 2022
  • This purpose of this study was to use the meta-summary method to systematically integrate the findings of the heterogeneous qualitative research on the factors influencing the sexual identity formation process of lesbian, gay, and bisexual groups in Korea. The integrative investigation of the universal or unique factors affecting the identity formation of sexual minority is important to understand their internal experiences and support their psychological adaptation. Using a qualitative meta-summary, this study systematically identified and abbriviated the psychological and social factors that promote or impede the sexual identity acceptance and integration of LGB individuals. First, a total of 9 studies which were published in Korea up to 2021 were identified through the research database. The included studies were critically evaluated by using the Critical Appraisal Screening Programme tool. A total of 179 statements were extracted from the findings of each study and 34 abstracted statements were generated. The 34 abstracted statements were categorized into four groups, psychological factors that promote or impede sexual identity formation and social factors that promote or impede it. These four main categories and corresponding factors in each category were explained. The implications and limitations were also discussed.