• Title/Summary/Keyword: Data Searching

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The Relationship between Occupational Basic Competencies, Job Searching Efficacy, and Career Preparation Conduct and Attitude of Occupational Therapy Students (작업치료과 대학생의 직업기초능력, 구직효능감 및 진로준비행동의 관계)

  • Park, Juyoung;Kim, Hunju
    • Journal of The Korean Society of Integrative Medicine
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    • v.7 no.1
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    • pp.89-98
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    • 2019
  • Purpose : The purpose of this study was to understand the correlations between occupational basic competencies, job searching efficacy and career preparation behavior of department on occupational therapy students. Methods : The subjects of this study were 103 occupational therapy students in D college. The data collection period was from July 1, 2018 to July 30, 2018. The collected data was processed using SPSS 21.0 and were analyzed using descriptive statistics, t-test, ANOVA, Scheffe's test and Pearson's correlation coefficient. Results : The mean scores for occupational basic competencies, job searching efficacy and career preparation behavior of the occupational therapy students were 3.61 (${\pm}0.59$), 3.58 (${\pm}0.61$) and 3.31 (${\pm}0.66$) respectively. The occupational basic competencies score of the Occupational Therapy students was significantly differed according to their age (t=-2.13, p=.03) and grade point average (F=15.01, p=.00). The job searching efficacy of the Occupational Therapy students was significantly different by grade point average (F=3.40, p=.02). There were no significant differences in job preparation behaviors among occupational therapy students according to gender, age, grade and grade point average. There was a positive correlation between occupational basic competencies and job searching efficacy (r=.675, p<.01), between occupational basic competencies and career preparation behavior (r=.455, p<.01), between job searching efficacy and career preparation behavior (r=.702, p<.01). Conclusion : The results of this study suggest the following: It is necessary to repeat this study with a greater number and range of subjects. In addition, it suggests that the progress of study should be developed and continued and refined in order to identify factors that affect the career preparation behavior of students of occupational therapy. In addition, the development of a program and the application of a curriculum to promote occupational basic competencies and job searching efficacy should be a priority.

Searching for Variants Using Trie-Index (트라이 인덱스를 이용한 이형태 검색)

  • Park, In-Cheol
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.8
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    • pp.1986-1992
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    • 2009
  • A user often searches a data by inputting a variant such as the abbreviation or substring of a word, or a misspelled word. The simple approach to the searching for variants is to build a variants dictionary. However, it entails enormous cost and time and can not handle variants by misspelling. Approximate searching, searching by approximate string matching, is a good approach to the searching. A problem in the approach is that it cannot handle variants by abbreviations. This paper propose a method for searching various variants including abbreviations and misspelled words, by using the trie indexing. First, this paper shows a variant matching method with the calculation of path weighted-metric. In addition, it provides variant searching algorithm to reduce the search time.

A System of Audio Data Analysis and Masking Personal Information Using Audio Partitioning and Artificial Intelligence API (오디오 데이터 내 개인 신상 정보 검출과 마스킹을 위한 인공지능 API의 활용 및 음성 분할 방법의 연구)

  • Kim, TaeYoung;Hong, Ji Won;Kim, Do Hee;Kim, Hyung-Jong
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.30 no.5
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    • pp.895-907
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    • 2020
  • With the recent increasing influence of multimedia content other than the text-based content, services that help to process information in content brings us great convenience. These services' representative features are searching and masking the sensitive data. It is not difficult to find the solutions that provide searching and masking function for text information and image. However, even though we recognize the necessity of the technology for searching and masking a part of the audio data, it is not easy to find the solution because of the difficulty of the technology. In this study, we propose web application that provides searching and masking functions for audio data using audio partitioning method. While we are achieving the research goal, we evaluated several speech to text conversion APIs to choose a proper API for our purpose and developed regular expressions for searching sensitive information. Lastly we evaluated the accuracy of the developed searching and masking feature. The contribution of this work is in design and implementation of searching and masking a sensitive information from the audio data by the various functionality proving experiments.

Efficient method of Searching PI Code on RDS System (RDS System 에서의 효율적인 PI code 검출 기법에 관한 연구)

  • Cho, Chung-bum;Kim, Yound-cil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.112-115
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    • 2009
  • PI code searching method of RDS(Radio Data System) are unique method of maintain desired channel on moving machine like vehicle. Efficient and fast PI code search method are researching on the all of RDS related systems for both find more better channel before Original channel signal go to bad and find desired good signal quickly when get out of Weak signal Area. But Embedded system has limited environment like memory size, so It is very difficult to apply many well known PI code searching method. This thesis suggests simple and effective method of searching PI code, considering a Embedded System Environment.

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Developing a Multi-purpose Ecotoxicity Database Model and Web-based Searching System for Ecological Risk Assessment of EDCs in Korea (웹 기반 EDCs 생태 독성 자료베이스 모델 및 시스템 개발)

  • Kwon, Bareum;Lee, Hunjoo
    • Journal of Environmental Health Sciences
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    • v.43 no.5
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    • pp.412-421
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    • 2017
  • Objectives: To establish a system for integrated risk assessment of EDCs in Korea, infrastructure for providing toxicity data of ecological media should be established. Some systems provide soil ecotoxicity databases along with aquatic ecotoxicity information, but a well-structured ecotoxicity database system is still lacking. Methods: Aquatic and soil ecotoxicological information were collected by a toxicologist based on a human readable data (HRD) format for collecting ecotoxicity data that we provided. Among these data, anomalies were removed according to database normalization theory. Also, the data were cleaned and encoded to establish a machine-readable data (MRD) ecotoxicity database system. Results: We have developed a multi-purpose ecotoxicity database model focusing on EDCs, ecological species, and toxic effects. Also, we have constructed a web-based data searching system to retrieve, extract, and download data with greater availability. Conclusions: The results of our study will contribute to decision-making as a tool for efficient ecological risk assessment of EDCs in Korea.

Construction and Application of POI Database with Spatial Relations Using SNS (SNS를 이용한 POI 공간관계 데이터베이스 구축과 활용)

  • Kim, Min Gyu;Park, Soo Hong
    • Spatial Information Research
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    • v.22 no.4
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    • pp.21-38
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    • 2014
  • Since users who search maps conduct their searching using the name they already know or is commonly called rather than formal name of a specific place, they tend to fail to find their destination. In addition, in typical web map service in terms of spatial searching of map. Location information of unintended place can be provided because when spatial searching is conducted with the vocabulary 'nearby' and 'in the vicinity', location exceeding 2 km from the current location is searched altogether as well. In this research, spatial range that human can perceive is calculated by extracting POI date with the usage of twitter data of SNS, constructing spatial relations with existing POI, which is already constructed. As a result, various place names acquired could be utilized as different names of existing POI data and it is expected that new POI data would contribute to select places for constructing POI data by utilizing to recognize places having lots of POI variation. Besides, we also expect efficient spatial searching be conducted using diverse spatial vocabulary which can be used in spatial searching and spatial range that human can perceive.

A Multimedia Bulletin Board System Providing Semantic-based Searching (의미 기반 정보 검색을 제공하는 멀티미디어 게시판 시스템)

  • Jung Eui-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.6 s.38
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    • pp.75-84
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    • 2005
  • Bulletin board systems have evolved to support diverse multimedia data as well as text. However, current board systems have an weakness : it takes much time and efforts for users to figure out contents of articles. Most board systems provide a searching function with lexical level data access for solving that problem, however it fails to serve users' intented searching results. Moreover, it is nearly impossible to search proper articles if they contain multimedia data. This paper proposed a bulletin board system adopting the Semantic Web to solve this issue. The proposed system provides users with new ontology which is used for describing articles' domain knowledge and multimedia features. Users can describe their own board ontology using the proposed ontology. To support semantic-based searching for diverse domain knowledge without modification of the system, the system dynamically generated input/query interface and RDF data access module according to the board ontology written by administrators. The proposed board system shows that semantic-based searching is feasible and effective for users to find their intended articles.

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A study on searching image by cluster indexing and sequential I/O (연속적 I/O와 클러스터 인덱싱 구조를 이용한 이미지 데이타 검색 연구)

  • Kim, Jin-Ok;Hwang, Dae-Joon
    • The KIPS Transactions:PartD
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    • v.9D no.5
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    • pp.779-788
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    • 2002
  • There are many technically difficult issues in searching multimedia data such as image, video and audio because they are massive and more complex than simple text-based data. As a method of searching multimedia data, a similarity retrieval has been studied to retrieve automatically basic features of multimedia data and to make a search among data with retrieved features because exact match is not adaptable to a matrix of features of multimedia. In this paper, data clustering and its indexing are proposed as a speedy similarity-retrieval method of multimedia data. This approach clusters similar images on adjacent disk cylinders and then builds Indexes to access the clusters. To minimize the search cost, the hashing is adapted to index cluster. In addition, to reduce I/O time, the proposed searching takes just one I/O to look up the location of the cluster containing similar object and one sequential file I/O to read in this cluster. The proposed schema solves the problem of multi-dimension by using clustering and its indexing and has higher search efficiency than the content-based image retrieval that uses only clustering or indexing structure.

Retrieving Angle Searching Method using Pre-scan for Holographic Data Storage (홀로그래픽 정보저장기기의 Pre-scan을 이용한 재생광의 각도 탐색 방법)

  • Jung, Kyu-Il;Lim, Sung-Yong;Kim, Nak-Yeong;Yang, Hyun-Seok
    • Transactions of the Society of Information Storage Systems
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    • v.7 no.2
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    • pp.85-89
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    • 2011
  • In retrieving process in angle multiplexing Holographic Data Storage(HDS), It is important to search the exact recording angles. In this paper, we propose the retrieving angle searching method using pre-scan. Pre-scan method is means that rotating the galvano mirror before the retrieving process. Therefore, retrieving signals are maximized when between the galvano mirror and recoded angle are exactly matched. Through the measured signals, we will find the exact angle and compensate tangential tilt angle. The experimental results shows propose method is enough to apply the HDS.

App Recommendation System Based on Collaborative Filtering

  • Nasridinov, Aziz;Park, Young-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.1158-1159
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    • 2013
  • It gives to users a difficulty for searching between this huge numbers of programs. Searching the best applications for our needs is a big challenge today. In this paper, we propose a study on collaborative filtering based app recommendation system. The proposed method is composed of three steps. In the first step, we extract the data set from the target website. In the second step, we parse the extracted raw data according to the types, and store in a database. In the third, we perform recommendations based on the stored data in database.