• Title/Summary/Keyword: Open Data Quality

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Data Quality Determination of Radio Occultation in moist troposphere

  • Yeh, Wen-Hao;Chiu, Tsen-Chieh;Liou, Yuei-An;Huang, Cheng-Yung
    • Proceedings of the KSRS Conference
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    • 2007.10a
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    • pp.442-444
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    • 2007
  • How to observe the atmosphere is a subject of atmospheric research. The meteorological satellites and the ground states are used to do observation. However, both ways do not satisfy the requirement of scientists, especially the profiles of atmosphere on the ocean and the data for global atmosphere. Radio occultation (RO) technique, which has been used in planet science, is a method to solve the problem. In RO technique, the low Earth orbit (LEO) satellite receives the two frequency signal of Global Positioning System (GPS) satellite. The excess phase of the signal is calculated to retrieve the profiles of atmosphere parameters. In moist troposphere, the fluctuations appear in the phase of the signal and open loop (OL) is used to resolve it. The quality of the GPS signal generally deteriorates as the altitude decreases. In the procedure, the SNR of the GPS signal is used as the criterion. However, the SNR decreases with fluctuation which makes it difficult to locate the data of poor quality. In this paper, the phase of the signal will be used as part of the criterion.

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The Effects of Online Social Influencers on Purchasing Behavior of Generation Z: An Empirical Study in Vietnam

  • PHAM, Minh;DANG, Thao Yen;HOANG, Thi Hong Yen;TRAN, Thi Thanh Nga;NGO, Thi Huong Quynh
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.11
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    • pp.179-190
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    • 2021
  • The purpose of this study is to understand the impact of influencers on generation Z (Gen Z) in the online environment. This article has applied the theories of source credibility, TAM, IAM, and TPB to identify influencer characteristics that affect the purchasing behaviors of Gen Z customers. This research was conducted using a Google Form survey with 24 pre-designed questions. A total of 464 valid questionnaires from Gen Z Vietnamese were collected between November 2020 and January 2021. Data was analyzed using partial least squares structural equation modeling (PLS-SEM) with SmartPLS 3 software. The analysis results confirmed that the components of influencer credibility have a positive impact on Gen Z's purchasing behaviors under the mediated influence of argument quality, perceived usefulness, and social influence. Surprisingly, for Gen Z, the influencers' attractiveness has the strongest impact on their online behavior. More specifically, attractiveness plays the most important role in the perceived usefulness and social influence of Gen Z customers, while influencers' expertise has the strongest impact on argument quality delivered to customers. This study provides evidence of a change in the way Gen Z responds to marketing activities. They are more drawn by the attraction of influencers than their expertise.

Proposal of Public Data Quality Management Level Evaluation Domain Rule Mapping Model

  • Jeong, Ha-Na;Kim, Jae-Woong;Chung, Young-Suk
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.12
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    • pp.189-195
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    • 2022
  • The Korean government has made it a major national task to contribute to the revitalization of the creative economy, such as creating new industries and jobs, by encouraging the private opening and utilization of public data. The Korean government is promoting public data quality improvement through activities such as conducting public data quality management level evaluation for high-quality public data retention. However, there is a difference in diagnosis results depending on the understanding and data expertise of users of the public data quality diagnosis tool. Therefore, it is difficult to ensure the accuracy of the diagnosis results. This paper proposes a public data quality management level evaluation domain rule mapping model applicable to validation diagnosis among the data quality diagnosis standards. This increases the stability and accuracy of public data quality diagnosis.

Static Analysis and Improvement Opportunities for Open Source of UAV Flight Control Software (무인비행체 비행제어 Open Source 소프트웨어에 대한 정적분석 및 개선방안)

  • Jang, Jeong-hoon;Kang, Yu-sun;Lee, Ji-hyun
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.49 no.6
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    • pp.473-480
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    • 2021
  • In this paper, We analyze and present improvements to problems in software quality through Static Analysis for Open Source, which is widely used as the Flight Controller software for small unmanned aerial vehicle drones. MISRA coding rules, which are widely applied based on software quality, have been selected. Static analysis tools were used by LDRA tools certified international tools used in all industries, including automobiles, railways, nuclear power and healthcare, as well as aviation. We have identified some safety-threatening problems across the quality of the software, such as structure of open source modules, analysis of usage data, compliance with coding rules, and quality indicators (complexity and testability), and have presented improvements.

A Study on the Improvement of 3D Building Data Format for Spatial Information Open Platform (공간정보 오픈플랫폼 3차원 건물데이터 포맷 개선방안 연구)

  • Kim, Hyeon Deok;Kang, Ji Hun;Kim, Hak Joon
    • Journal of Korean Society for Geospatial Information Science
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    • v.25 no.1
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    • pp.63-70
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    • 2017
  • On the spatial information open platform, the national spatial data are released to provide services that the people can use freely. Recently, the demand for high quality 3D geospatial information and indoor spatial information is increasing. However, open platform is not able to provide seamless service because spatial data of indoor and outdoor are composed of different formats and storage structures. In addition, the 3D data format used in the current service does not reflect the recent changes in service environment and new technology. Therefore, in this study, we proposed new format of 3D data used in service to improve interoperability and service of open platform 3D data. The proposed format is lighter than the existing format and the rendering speed is improved.

Perceptions and Use of Open Access Journals by Nigerian Postgraduate Students

  • Ayeni, Philips Oluwaseun
    • Journal of Information Science Theory and Practice
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    • v.5 no.1
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    • pp.26-46
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    • 2017
  • This article investigates perceptions and use of Open Access journals (OAJs) by master's degree students in two universities in the southwestern part of Nigeria. A descriptive survey design was used in the study and the study population was comprised of 7,423 master's degree students in the University of Ibadan and 1,867 from Obafemi Awolowo University. A multistage random sampling technique was used to select a sample size of 249 and the data collection instrument was a structured questionnaire. Data were analyzed using frequency counts, percentages, mean, standard deviation, correlation, and regression analyses. The findings revealed that OAJs were used for learning, dissertation writing, personal research, and development. OAJs were not frequently used because of download delays, unavailability of Internet facilities, and limited access to computers terminals, among other issues. OAJs were found to be of relative advantage, positively perceived, and found to be compatible with existing values and quality assurance in scholarly publications, hence their use for academic activities. The regression analyses showed that there was a significant positive relationship between positive perception, perception of relative advantage, perception of compatibility, perception complexity, and master's degree students' use of OAJs. Negative perception was found to have a significant negative correlation with the use of OAJs. This article recommends that quality assurance of OAJs should be ensured in order to boost users' positive perceptions to increase their patronage and usage of these scholarly outlets for various academic activities, which will in turn encourage research and development across the various institutions of higher learning in Nigeria.

VDI Performance Optimization with Hybrid Parallel Processing in Thick Client System under Heterogeneous Multi-Core Environment (Heterogeneous 멀티 코어 환경의 Thick Client에서 VDI 성능 최적화를 위한 혼합 병렬 처리 기법 연구)

  • Kim, Myeong-Seob;Huh, Eui-Nam
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38B no.3
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    • pp.163-171
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    • 2013
  • Recently, the requirement of processing High Definition (HD) video or 3D application on low, mobile devices has been expanded and content data has been increased as well. It is becoming a major issue in Cloud computing where a Virtual Desktop Infrastructure (VDI) Service needs efficient data processing ability to provide Quality of Experience (QoE) in Cloud computing. In this paper, we propose three kind of Thick-Thin VDI Service which can share and delegate VDI service based on Thick Client using CPU and GPU. Furthermore, we propose and discuss the VDI Service Optimization Method in mixed CPU and GPU Heterogeneous Environment using CPU Parallel Processing OpenMP and GPU Parallel Processing CUDA.

Construction of LOK(Linked Open Knowledge) System for Advancement of Domestic Agricultural Industry (국내 농업의 선진화를 위한 LOK(Linked Open Knowledge) 구축 방안 연구)

  • Jeong, Jee-Yeon;Jeong, Seong-Hun;Lee, Sae-Bom;Jung, Jae-Jin
    • The Journal of the Korea Contents Association
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    • v.14 no.9
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    • pp.428-436
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    • 2014
  • The convergence technology of ICT(Information & Communication Technology) in agriculture is the main key of the future agricultural industry. Recently, many that by using big data it can improve crop growth-circumstance and agricultural Industry. However, the data of crop growth-circumstance has been not shared and operated separately by individual farm. Therefore, it is necessary to build the LOK(Linked Open Knowledge) system for Quality of Farming & Farm product. We research previous studies for big data and development of the corp growth-circumstance using big data system case. Also, we suggest to build LOK system for improving the domestic agricultural industry.

Single Sample Grouping Methodology using Combining Data (Combining data를 적용한 단일 표본화 방법론 연구)

  • Back, Seungjun;Son, Youngkap;Lee, Seungyoung;Ahn, Mahnki;Kim, Cheongsig
    • Journal of the Korea Institute of Military Science and Technology
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    • v.17 no.5
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    • pp.611-619
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    • 2014
  • Combining similar data provides larger data sets through conducting test for homogeneity of several samples under various production processes or samples from different LOTs. The test for homogeneity has been applied to either variable or attribute data, and for variable data set physical homogeneity has been tested without consideration of the specification to the set. This paper proposes a method for test of homogeneity based on quality level through using both variable data and the specification. Quality-based test for homogeneity as a way of combining data is implemented by test for coefficient of variation in the proposed method. The method was verified through the application to the data set in open literature. And possibility to combine performance data for various types of thermal battery was discussed in order to estimate operation reliability.

Analysis on Determinant Affecting Open Innovation of Korean ICT Service Industry : Focusing on Network Service (한국 ICT서비스산업의 개방형 혁신에 영향을 미치는 요소 분석 : 네트워크 서비스를 중심으로)

  • Kim, Eung-Do;Kim, Hongbum;Bae, Khee-Su
    • Korean Management Science Review
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    • v.32 no.4
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    • pp.175-192
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    • 2015
  • Due to the emergence of open innovation driven by development of network service technologies and convergence in ICT service industry, It is necessary for ICT service firms to examine their capabilities for open innovation. The purpose of this paper is to empirically examine determinants affecting open innovation in Korean ICT service industry. In order to analyze, this paper uses logistic and multiple regression models based on survey data of Korean ICT service firms. Estimation results show that external network for collaboration is positive on the technological innovation activity regardless of the innovation type. Specifically, user networks are significant in all types of technology innovation, revealing that it is important to innovation activities of the ICT service firms.