• Title/Summary/Keyword: informal information

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A Study of improving reliability on prediction model by analyzing method Big data (빅데이터 분석방법을 이용한 예측모형의 신뢰도 향상에 관한 연구)

  • Song, Min-Gu;Kim, Sun-Bae
    • Journal of Digital Convergence
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    • v.11 no.6
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    • pp.103-112
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    • 2013
  • Traditional method of establishing prediction model is usually using formal data stored in Data Base. However, nowadays advent of "smart" era brought by ground-breaking development of communication system makes informal data to dominate overall data, such 80% in total. Therefore, conventional method using formal data as establishing predicting model would be untrustworthy means in present. In other words, it is indispensible to make prediction model credible including informal data(SNS, image, video) and semi-formal data(log data). In this study, we increase credibility of predicting model adapting Bigdata method and comparing reliability of conventional measurement to real-data.

MetaCube : A New Skeletal Element for Modeling Informal Objects (메타큐브 : 부정형 물체의 모델링을 위한 새로운 구조 요소)

  • Kim, Eun-Seok;Kim, Jay-Jeong
    • Journal of KIISE:Computer Systems and Theory
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    • v.27 no.4
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    • pp.353-361
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    • 2000
  • In Computer Graphics, to select the element for modeling is very important in aspect of real-time processing of photorealistic images. Especially in modeling of informal objects, the criteria of choice are such as the minimum number of data, the easy rendering technique, and the expansibility. The metaball model which is one of the methods for modeling the implicit surface is excellent in modeling the complicated surface with a few data. However, a greater number of data are required for modeling objects that consist of planar surfaces with metaballs than with polygons. In this paper, we propose the new skeletal element, metacube which has the merits of metaball and improves the modeling ability of informal objects containing planar surfaces. A metacube has two parameters to change freely its shape from the cube to the sphere and can easily do the modeling of objects with curved surfaces and plane surfaces.

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A Design on Informal Big Data Topic Extraction System Based on Spark Framework (Spark 프레임워크 기반 비정형 빅데이터 토픽 추출 시스템 설계)

  • Park, Kiejin
    • KIPS Transactions on Software and Data Engineering
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    • v.5 no.11
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    • pp.521-526
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    • 2016
  • As on-line informal text data have massive in its volume and have unstructured characteristics in nature, there are limitations in applying traditional relational data model technologies for data storage and data analysis jobs. Moreover, using dynamically generating massive social data, social user's real-time reaction analysis tasks is hard to accomplish. In the paper, to capture easily the semantics of massive and informal on-line documents with unsupervised learning mechanism, we design and implement automatic topic extraction systems according to the mass of the words that consists a document. The input data set to the proposed system are generated first, using N-gram algorithm to build multiple words to capture the meaning of the sentences precisely, and Hadoop and Spark (In-memory distributed computing framework) are adopted to run topic model. In the experiment phases, TB level input data are processed for data preprocessing and proposed topic extraction steps are applied. We conclude that the proposed system shows good performance in extracting meaningful topics in time as the intermediate results come from main memories directly instead of an HDD reading.

2.4kbps Speech Coding Algorithm Using the Sinusoidal Model (정현파 모델을 이용한 2.4kbps 음성부호화 알고리즘)

  • 백성기;배건성
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.27 no.3A
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    • pp.196-204
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    • 2002
  • The Sinusoidal Transform Coding(STC) is a vocoding scheme based on a sinusoidal model of a speech signal. The low bit-rate speech coding based on sinusoidal model is a method that models and synthesizes speech with fundamental frequency and its harmonic elements, spectral envelope and phase in the frequency region. In this paper, we propose the 2.4kbps low-rate speech coding algorithm using the sinusoidal model of a speech signal. In the proposed coder, the pitch frequency is estimated by choosing the frequency that makes least mean squared error between synthetic speech with all spectrum peaks and speech synthesized with chosen frequency and its harmonics. The spectral envelope is estimated using SEEVOC(Spectral Envelope Estimation VOCoder) algorithm and the discrete all-pole model. The phase information is obtained using the time of pitch pulse occurrence, i.e., the onset time, as well as the phase of the vocal tract system. Experimental results show that the synthetic speech preserves both the formant and phase information of the original speech very well. The performance of the coder has been evaluated in terms of the MOS test based on informal listening tests, and it achieved over the MOS score of 3.1.

The Implications of Current Practices Relating to the Sharing, Reuse, and Citation of Research Software for the Future of Research (연구소프트웨어의 공유, 재사용 및 인용과 관련된 현재 관행의 의미)

  • Park, Hyoungjoo;Wolfram, Dietmar
    • Journal of the Korean Society for information Management
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    • v.38 no.4
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    • pp.65-82
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    • 2021
  • The purpose of this research is to explore the phenomenon of the sharing, reuse, and citation of research software. These practices are playing an increasingly important role in scholarly communication. The researchers found that the citation and reuse of research software are currently uncommon or at least not reflected in the Data Citation Index (DCI). Such citation was observed, however, for the newer software in a number of prominent repositories. The repositories Comprehensive R Archive Network (CRAN) and Zenodo received the most formal software citations. The researchers observed both formal and informal forms of citation when researchers reused software. The latter form involves mentioning research software in passing in the main text of articles, while formal citations appear in the references section. In addition, our comparative analysis helps to explain the phenomenon of self-citation of research software.

The Effect of Average Unit Learning on the Knowledge of the Representative Value of 5th Grade Elementary School Students (평균 단원 학습이 초등학교 5학년 학생의 대푯값에 대한 지식에 미치는 영향)

  • Moon, Eunhye;Lee, Kwangho
    • Education of Primary School Mathematics
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    • v.23 no.3
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    • pp.135-156
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    • 2020
  • The purpose of this study is to analyze the effect of average unit learning on the knowledge of the representative value of 5th grade elementary school students. In the information-oriented society, the ability to organize and summarize the data has become an essential resource. In the process of correctly analyzing statistical data and making reasonable decisions, the summary of the data plays an important role, and it is necessary to learn the concept of representative values in order to describe the center of the data in a series of numbers. For research, an informal knowledge type possessed by a fifth grade elementary school student with respect to a representative value before learning an average unit is examined and compared with the representative value after learning the average unit. A suggestion point for representative value guidance in school mathematics is provided while examining the change in knowledge with respect to the representative value. Seeing the informal types of elementary school students' representative values will help them learn how to formalize the concept of representative values in middle and high schools. It will give suggestions about the concept of representative values and the method of instruction that should be dealt with in elementary schools. The informal knowledge about the representative value can help with formal representative value that will be learned later. Therefore, This study's discussions on statistical learning of elementary school students are expected to present meaningful implications for statistical education.

Senior' Use of Text Messages and SNS and Contact with Informal Social Network Members (노인의 문자메시지 및 SNS 활용역량과 비공식적 사회관계망과의 접촉에 관한 연구)

  • Jung, Chanwoo;Choi, Heejeong
    • Journal of Digital Convergence
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    • v.19 no.3
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    • pp.401-414
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    • 2021
  • The purpose of this study was to examine the associations of Korean older adults' use of Social Network Service (SNS) and text messages with frequency of contact with 1) non-coresident adult children, 2) siblings and relatives, or 3) friends, neighbors, and acquaintances. Data were drawn from the 2017 Survey of Living Conditions and Welfare Needs of Korean Older Persons 65+ (N=8,392), and older adults were categorized into 4 groups depending on their familiarity with use of SNS and text messages. Ordinary Least Squares regression models were estimated for analyses. Results revealed that older users of both types of communication media reported frequent exchanges of calls, text messages, etc. with both family and friends. However, using SNS and text messages was consistently related to more face-to-face contact with non-family members. To conclude, older adults' familiarity with communication media could be key to exchanges of emotional and instrumental support with informal social network members and quality of life in the community. Overall, our results highlight the importance of information communication education targeting older adults for continued involvement with their informal social network members.

Real-time Event Processing Role Management System for IFTTT Service (IFTTT 서비스를 위한 실시간 이벤트 처리 룰 관리 시스템)

  • Kim, KyeYoung;Lee, HyunDong;Cho, Dae-Soo
    • Journal of Korea Multimedia Society
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    • v.20 no.8
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    • pp.1379-1386
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    • 2017
  • As the Internet of Things evolves, various IoT services are provided. IFTTT is an abbreviation for If This Then That and refers to a service that links different web-based services. This paper proposes a system that generates and manages rules that combine the possibility of IFTTT service and the real-time event processing according to the concept of IoT service. Conventional database-based data processing methods are burdened to process a lot of data of IoT devices coming in real-time. The IoT device's data can be classified into formal data such as the amount of power, temperature value and position information, and informal data such as video or image data. Thus, this system classifies the data stream of IoT devices coming in real-time using the CEP engine Esper into a file signature table, classifies the formal/informal data, and shows the condition of the device data defined by the user and the service to be provided by applying the service.

Exploring Science Communication of Global Issue and Suggesting its Implication in Science Education: The Cases about Nuclear Energy of Korea and Japan

  • Park, Young-Shin;Chung, Woon-Gwan;Otsuji, Hisashi
    • Journal of the Korean earth science society
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    • v.39 no.5
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    • pp.483-500
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    • 2018
  • The purpose of this study was to explore what kinds of science communication are ongoing in formal and informal settings for learning about nuclear energy, which is very important issue domestically and internationally. The researchers collected and analyzed data from science textbooks at elementary and middle school levels, from exhibitions in Y informal hall that belongs to one nuclear power plant, and from 40 bestselling books about nuclear energy in order to explore the kind of science communication. The same process was used to explore Japanese case so that we could compare the results with Korean cases and draw implications for enhancing science communication about nuclear energy. The science communication of nuclear energy in Korea included implicit and indirect content espoused in science textbooks; two opposite views displayed in bestselling books, and positive aspects mainly displayed in exhibition of information hall in nuclear power plant. It is suggested that both direct and explicit science communication along with the neutral viewpoints including positive and negative ones be provided for the public to form a good understanding of nuclear energy.

Family Migration Characteristics and Types of North Korean Defectors (북한이탈주민의 가족이주 특성과 유형)

  • Chin, Meejung;Kim, Sangha
    • Human Ecology Research
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    • v.56 no.3
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    • pp.317-330
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    • 2018
  • Objectives: This study explores the characteristics of family migration for North Korean defectors and classifies family migration by examining who initiated the migration and who followed. Method: We analyzed the family migration using detailed stories from fifty-five North Korean defectors who were interviewed between 2005 and 2011. Results: We found that 43 out of 55 cases were family migration and the remaining 12 cases were single person migration. We also found several characteristics typical of migration. First, family migration followed the process of step migration, which indicated a serial migration in numbers. Second, migration relied heavily on informal social networks. Finally, the process of earlier migration by North Koreans was incidental and unexpected; however, unexpectedness has diminished in recent migration. Looking at who initiated the migration, the most common type was 'mother-initiated' cases (14 cases) followed by 'child-initiated' cases (10 cases). The third most common type was 'mother-child accompanied' cases (7 cases). The migration process was various; however the most common type was when a married woman initiated the family migration process. This is most likely because married women have the responsibility to support families in the informal economy of North Korea. According to the range of family migrated, the most common type was 'nuclear-family only' cases (22 cases) followed by 'maternal extended family migration' cases (12 cases). Conclusions: The findings of this study provide information on the family dynamics of North Korean defectors.