• Title/Summary/Keyword: 데이터 수집 SW

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D.E.Cho : A Study on Smart City Data Security Model Using Blockchain Technology (블록체인 기술을 이용한 스마트시티 데이터 보안 모델 연구)

  • Do-Eun Cho
    • Journal of Platform Technology
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    • v.12 no.2
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    • pp.45-57
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    • 2024
  • Smart cities are the product of modern urban planning that seeks to innovate information and communication technology and improve the quality of urban life. For the efficient operation of smart cities, data collected, stored, and processed in real time is a key resource. Therefore, data from smart cities collected in various fields must be managed safely, and personal information protection is paramount. In this study, a smart city data security model using blockchain technology was proposed to safely manage smart city data. The proposed model integrates IPFS into the blockchain network to distribute and store data to ensure data confidentiality and integrity, and encrypts data using CP-ABE to efficiently control access to data from users. In addition, privacy was guaranteed while enhancing the usability of data by using Homomorphic Encryption with data access control policies.

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Effects of SW-Efficacy on Computational Thinking and STEAM Literacy in Robot-utilized SW Convergence Education: Dual Mediation Effects of Interests and Learning Engagement (로봇 활용 SW융합교육에서 SW효능감이 컴퓨팅 사고력, 융합인재소양에 미치는 영향: 흥미와 학습참여의 이중매개효과)

  • Huh, Mi-Seon;Lee, Jeongmin
    • The Journal of the Korea Contents Association
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    • v.20 no.11
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    • pp.1-14
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    • 2020
  • This study investigated the effects of SW-efficacy on computational thinking STEAM literacy and the dual mediation effects of interest and student engagement in the relationship between SW-efficacy, computational thinking and STEAM literacy in robot-utilized SW convergence education. For achieving this purpose, robot-utilized SW convergence education targeting 146 middle schools students were carried out, post-survey regarding SW-efficacy, computational thinking, STEAM literacy, interest, and learning engagement were conducted. Collected data were analyzed by SPSS macro process for analysis of the dual mediation effect. Results were as follows: first, SW-efficacy had a significant effect on computational thinking and STEAM literacy. Second, interest did not mediate the relationship between SW efficacy, computational thinking and STEAM literacy, while student engagement mediated it. Third, SW efficacy had a significant effect on computational thinking and STEAM literacy dual-mediating effect of interest and student engagement. These results imply the roles of SW efficacy, interest and student engagement to improve computational thinking and STEAM literacy in robot-utilized SW education and provide implications with regard to robot-utilized SW education and instructional directions.

An Investigation of Teachers' Stages of Concern and Levels of Use about SW Education Based on Concerns-Based Adoption Model (관심중심수용모형(CBAM)을 활용한 초등교사의 SW교육 관심도 및 실행수준 분석)

  • Kim, Jinsol;Lee, Jeongmin
    • The Journal of the Korea Contents Association
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    • v.20 no.8
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    • pp.75-87
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    • 2020
  • The purpose of this study is to examine teachers' stages of concern and levels of use about SW education based on Concerns-Based Adoption Model and to provide implications for teacher education. For this purpose, 152 survey responses were collected from elementary school teachers in South Korea. The result indicated that elementary school teachers' concerns about SW education showed the nonuser pattern in that teachers score highest in stage 0(awareness) to stage 2(personal) and in stage 6(refocusing). Additionally, teachers who are currently implementing SW education showed a tendency to be in the level of mechanical use or routine, and more than half of the teachers who are not implementing SW education showed no motivation to change current practices. There were statistically significant differences in the stages of concern depending on gender, teaching experience, SW training experience, SW teaching experience, and there were differences in the levels of use depending on the teachers' grade level in charge, SW training experience, and SW teaching experience. Based on the results of the research, various SW related programs as well as successful SW education experience for teachers need to be provided for teacher education in order to promote SW education.

A Case Study of Basic Data Science Education using Public Big Data Collection and Spreadsheets for Teacher Education (교사교육을 위한 공공 빅데이터 수집 및 스프레드시트 활용 기초 데이터과학 교육 사례 연구)

  • Hur, Kyeong
    • Journal of The Korean Association of Information Education
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    • v.25 no.3
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    • pp.459-469
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    • 2021
  • In this paper, a case study of basic data science practice education for field teachers and pre-service teachers was studied. In this paper, for basic data science education, spreadsheet software was used as a data collection and analysis tool. After that, we trained on statistics for data processing, predictive hypothesis, and predictive model verification. In addition, an educational case for collecting and processing thousands of public big data and verifying the population prediction hypothesis and prediction model was proposed. A 34-hour, 17-week curriculum using a spreadsheet tool was presented with the contents of such basic education in data science. As a tool for data collection, processing, and analysis, unlike Python, spreadsheets do not have the burden of learning program- ming languages and data structures, and have the advantage of visually learning theories of processing and anal- ysis of qualitative and quantitative data. As a result of this educational case study, three predictive hypothesis test cases were presented and analyzed. First, quantitative public data were collected to verify the hypothesis of predicting the difference in the mean value for each group of the population. Second, by collecting qualitative public data, the hypothesis of predicting the association within the qualitative data of the population was verified. Third, by collecting quantitative public data, the regression prediction model was verified according to the hypothesis of correlation prediction within the quantitative data of the population. And through the satisfaction analysis of pre-service and field teachers, the effectiveness of this education case in data science education was analyzed.

Structural Relationships among Factors Affecting Teachers' Robot-based SW Education Acceptance in Primary School (초등교사의 로봇활용SW교육 활용의도와 영향 요인간 구조적 관계 분석)

  • Lee, Jeongmin;Chung, Hyunmin;Ko, Eunji
    • The Journal of the Korea Contents Association
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    • v.18 no.5
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    • pp.215-229
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    • 2018
  • The purpose of this study was to examine the structural relationships among factors affecting teachers' robot-based SW education acceptance in primary school. In addition, this study investigated moderating effects of gender, age, and experience. For this purpose, 171 elementary school teachers participated in this study and structural equation modeling analyses were employed to examine the causal relationships among variables. The result of this study showed that perceived ease of use, perceived usefulness, personal innovativeness had direct effects on attitude. Furthermore, attitude mediated relationships between perceived usefulness, perceived ease of use, personal innovativeness and intention to use. Third, the moderating effects of experience between perceived usefulness, personal innovativeness and attitude were significant, but gender and age were not significant on all paths. Based on the results of this study, successful teaching practices, cases, and contents should be shared with teachers. Also, continuous supports and differentiated strategies based on experience are needed.

Development of Multi-function Sensor Integration and Data Process SW Module for Real-time Situation Recognition (실시간 상황 인식을 위한 다기능 센서 통합 및 데이터 처리 SW 모듈 개발)

  • Oh, Jung-Hei;Kim, Bong-Hyun
    • Journal of the Korea Convergence Society
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    • v.10 no.11
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    • pp.143-148
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    • 2019
  • In modern society, developing and utilizing safety service and system environments is a very important and great interest. In particular, the provision of safety services to socially vulnerable groups such as children, the elderly, women, the disabled and foreigners has become a social issue. However, since most safety services and systems are applied to the general public, it is necessary to develop systems for socially vulnerable groups. Therefore, in this paper, we developed a system module that processes and transmits data to recognize the situation in real time and respond quickly. To this end, various sensors for real-time situation recognition were designed as integrated modules, and a safety system module was developed to analyze the collected data and transmit the processing results.

A Study for Implementation of System for protecting Privacy data from IoT Things (IoT 장치의 개인정보 데이터 보호 시스템 구현에 관한 연구)

  • Kim, Seon Uk;Hong, Seong Eun;Bang, Jun Il;Kim, Hwa Jong
    • Smart Media Journal
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    • v.10 no.2
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    • pp.84-91
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    • 2021
  • In the EU GDPR, when collecting personal information, the right of the information subject(user) to consent or refuse is given the highest priority. Therefore, the information subject must be able to withdraw consent and be forgotten and claim the right at any time. Especially, restricted IoT devices(Constrained Node) implement the function of consent of the data subject regarding the collection and processing of privacy data, and it is very difficult to post the utilization content of the collected information. In this paper, we designed and implemented a management system that allows data subjects to monitor data collected and processed from IoT devices, recognize information leakage problems, connect, and control devices. Taking into account the common information of the standard OCF(Open Connectivity Foundation) of IoT devices and AllJoyn, a device connection framework, 10 meta-data for information protection were defined, and this was named DPD (Data Protection Descriptor). we developed DPM (Data Protection Manager), a software that allows information subjects to manage information based on DPD.

A Study on Testing Tools for Hierarchical Cooperative Analysis in Cloud of Things Environment (CoT(Cloud of Things)환경에서 계층적 협업 분석 SW의 시험 검증 사례 연구)

  • Lee, Yong-Ju;Park, Hwin Dol;Choi, Chang-Ho;Park, JunYong;Min, Ok-Gee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.04a
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    • pp.1183-1184
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    • 2017
  • 라즈베리파이와 같은 경량 시스템이 보급되면서, 기존의 서버 중심의 분석 기법에서 경량 시스템에서 경량/순간 분석을 하고, 누적/중량 분석은 서버에서 수행할수 있는 계층적 협업 분석에 대한 연구를 진행하고 있으며, 이를 통해 IoT Thing을 논리적으로 묶어서 Cloud of Things과 같이 센서 데이터 수집/처리를 용이하게 하기 위해 구현된 계층적 협업 분석 SW에 대한 시험 검증 사례에 대한 연구 내용을 담고 있다.

Trends in Device and SoC for Digital Media Hubs (디지털미디어허브 디바이스 및 SoC 동향)

  • Park, S.C.;Kim, T.J.;Nam, H.S.;Cho, H.J.
    • Electronics and Telecommunications Trends
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    • v.28 no.5
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    • pp.145-155
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    • 2013
  • 현대인의 집밖 스마트 ICT 디바이스의 요구성능은 휴대 용이성, 끊김 없는 통신채널 확보, 저전력 소모, 편리한 UI, 다양한 기능의 통합제공, 필요한 기능의 손쉬운 추가 및 삭제 등이며, 이런 요구에 충족하기 위해서 HW는 경박단소, 고성능 및 저전력 소모 등으로, SW는 개방형 앱 스토어를 통한 기능추가로 진화하였고, 이를 포함하는 디바이스로는 스마트폰, 테블릿 PC가 대표적이다. 집안의 스마트 ICT 디바이스의 요구성능은 집밖 ICT 디바이스 성능을 포함하면서, 어떤 디바이스에서든 끊김없는 콘텐츠 및 데이터 수집과 이동성, 그리고 아직 정의되지 않은 미래 추가기능의 실행 가능성 등이며 이를 위해 STB(Set Top Box), IPTV, 미디어허브, SmarTV 등 다양한 디바이스가 혁신적인 변모를 준비하고 있다. 본고에서는 집안 ICT 디바이스 혁신의 결과물을 디지털 미디어 허브라 명명하고, 이를 지향하고 있는 후보군 디바이스 들의 동향을 살펴보며, 디지털 미디어 허브로의 신속한 변모를 위해 필요한 연구 개발 방안으로 플랫폼기반의 SW-SoC(System On a Chip) 개발 기술을 소개하고자 한다.

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Design and Analysis of Data-oriented Information System for Interconnected IT Convergence Devices (정보통신 융합기기 연계를 고려한 데이터 중심의 정보시스템 모델의 설계 및 분석)

  • Oh, Chang-Ik;Jeong, Jongpil
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.5
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    • pp.2406-2414
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    • 2013
  • The data-driven IT project model has been improved by adding processes such as analysis/design of data structure and channels of data collection/distribution, application of data standard and securing the flexibility in IT convergence devices data configuration on existing informatization project procedure driven by HW and SW function. This model focused on the evaluation of improvement effect which warrants data flexibility of IT convergence device. IT convergence device was divided into sensor and reactor and a situation when new information system is additionally linked to these devices was assumed. The system improvement complexity and index on network environment were estimated and they were compared to existing method.