• Title/Summary/Keyword: open-source platform

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Design and Implementation of Dual-Mode Cordless Phone and walkie-Talky System: A Software Radio Approach (소프트웨어 라디오 방식의 무선전화기 및 워키토키 이중 모드 시스템의 구현)

  • Sung, Min-Young
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.9 no.3
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    • pp.674-680
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    • 2008
  • An SDR (Software Defined Radio) system based on general purpose computing platform has benefits of ease of software development process, high degree of software compatibility, and cost-effectiveness of general purpose processors. This paper discusses design and implementation of a dual-mode SDR system that supports both cordless phone and walkie-talky system running on Linux-based general purpose computing platform. For this purpose, we designed modulation and demodulation software on open source-based GNU radio middleware. We also designed a customized RF front-end hardware which performs frequency conversion between RF and IF. The proposed SDR system successfully exhibited its ability to operate both cordless phone and walkie-talky communication on Intel processor-based general purpose computing platform. But experience with the prototype SDR system shows that further research is required for run-time software reconfiguration and efficient integration with conventional TCP/IP protocol stacks.

Research on Sustainable Financial Inclusion and Social Impact : Analyzing Credit Thin Filer Data from U.S. Online Loan Platform (지속가능한 금융포용성과 소셜임팩트 증진 제언 연구: 미국 온라인 대출 플랫폼 내 중저신용자 데이터를 중심으로)

  • Geonuk Nam;Jiho Kim;Gaeun Son;Hanjin Lee
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.467-474
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    • 2024
  • This study analyses customer data from a US online lending platform to empirically document the discriminatory treatment that low- and middle-income borrowers face in financial markets. Researchers are using financial data from nearly 2.93 million loans between 2007~2020 of the Lending Club on the open-source Kaggle platform. We find that thin-filers borrowers, especially those with lower credit scores, receive loans at higher interest rates. This discriminatory treatment undermines financial inclusion and has the potential to increase social inequality. The significance of this research is that it sheds substantial light on the problem of inequality in financial markets and, based on the findings, suggests concrete measures to ensure equitable access to finance for all customers and enhance sustainable financial inclusion. In doing so, we propose a shift towards enhancing the social responsibility of institutions.

Implementation of Smartphone Adaptor for Real-Time Live Simulations (실시간 Live 시뮬레이션을 위한 스마트폰 연동기 구현)

  • Kim, Hyun-Hwi;Lee, Kang-Sun
    • Journal of the Korea Society for Simulation
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    • v.22 no.1
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    • pp.9-20
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    • 2013
  • Defense M&S for weapons effectiveness is a realistic way to support virtual warfare similar to real warfare. As the war paradigm becomes platform-centric to network-centric, people try to utilize smartphones as the source of sensor, and command/control data in the simulation-based weapons effectiveness analysis. However, there have been limited researches on integrating smartphones into the weapon simulators, partly due to high modeling cost - modeling cost to accomodate client-server architecture, and re-engineering cost to adapt the simulator on various devices and platforms -, lack of efficient mechanisms to exchange large amount of simulation data, and low-level of security. In this paper, we design and implement Smartphone Adaptor to utilize smartphones for the simulationbased weapons effectiveness analysis. Smartphone Adaptor automatically sends sensor information, GPS and motion data of a client's smartphone to a simulator and receives simulation results from the simulator on the server. Also, we make it possible for data to be transferred safely and quickly through JSON and SEED. Smartphone Adaptor is applied to OpenSIM (Open simulation engine for Interoperable Models) which is an integrated simulation environment for weapons effectiveness analysis, under development of our research team. In this paper, we will show Smartphone Adaptor can be used effectively in constructing a Live simulation, with an example of a chemical simulator.

Using Arduino and RFID shield program development (아두이노와 RFID 실드를 사용한 프로그램 개발)

  • Lee, Kyung-mu;Lee, Sung-jin;Choi, Chul-kil;Kim, Jin-il
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.05a
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    • pp.961-964
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    • 2013
  • Arduino is for design based on open source prototyping platform, artist, designer, hobby activists, etc, i has been designed for all those who are interested in the environment construct. Arduino adventage you can easily create applications hardware, without deep knowledge about the hardware. Configuration of arduino using AVR microcontroller ATmage 168, software to action arduino using arduino program, MATLAB, Processing. Arduino is open source base, you can hardware production directly and using shield additionally, the arduino can be combined. Android is open source. Continue to expand through a combination of hardware, Arduino. It name is shield. Be given to the Arduino Uno board to the main board, the shield extends to the various aspects and help can be equipped with more features. The shield on top of the shield can be combined as a kind of shield and Ethernet shield, motor shield, the shield RFID hardware beyond a simple extension can be configured. In this paper, sortware was used for arduino program, hardware was used for arduino Uno board, the additional shield using RFID shield. Configure the hardware to be compatible with this tag combined the 13.56MHz tag SM130.

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Prediction of Wave Breaking Using Machine Learning Open Source Platform (머신러닝 오픈소스 플랫폼을 활용한 쇄파 예측)

  • Lee, Kwang-Ho;Kim, Tag-Gyeom;Kim, Do-Sam
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.32 no.4
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    • pp.262-272
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    • 2020
  • A large number of studies on wave breaking have been carried out, and many experimental data have been documented. Moreover, on the basis of various experimental data set, many empirical or semi-empirical formulas based primarily on regression analysis have been proposed to quantitatively estimate wave breaking for engineering applications. However, wave breaking has an inherent variability, which imply that a linear statistical approach such as linear regression analysis might be inadequate. This study presents an alternative nonlinear method using an neural network, one of the machine learning methods, to estimate breaking wave height and breaking depth. The neural network is modeled using Tensorflow, a machine learning open source platform distributed by Google. The neural network is trained by randomly selecting the collected experimental data, and the trained neural network is evaluated using data not used for learning process. The results for wave breaking height and depth predicted by fully trained neural network are more accurate than those obtained by existing empirical formulas. These results show that neural network is an useful tool for the prediction of wave breaking.

Analysis of Deep Learning Research Trends Applied to Remote Sensing through Paper Review of Korean Domestic Journals (국내학회지 논문 리뷰를 통한 원격탐사 분야 딥러닝 연구 동향 분석)

  • Lee, Changhui;Yun, Yerin;Bae, Saejung;Eo, Yang Dam;Kim, Changjae;Shin, Sangho;Park, Soyoung;Han, Youkyung
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.6
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    • pp.437-456
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    • 2021
  • In the field of remote sensing in Korea, starting in 2017, deep learning has begun to show efficient research results compared to existing research methods. Currently, research is being conducted to apply deep learning in almost all fields of remote sensing, from image preprocessing to applications. To analyze the research trend of deep learning applied to the remote sensing field, Korean domestic journal papers, published until October 2021, related to deep learning applied to the remote sensing field were collected. Based on the collected 60 papers, research trend analysis was performed while focusing on deep learning network purpose, remote sensing application field, and remote sensing image acquisition platform. In addition, open source data that can be effectively used to build training data for performing deep learning were summarized in the paper. Through this study, we presented the problems that need to be solved in order for deep learning to be established in the remote sensing field. Moreover, we intended to provide help in finding research directions for researchers to apply deep learning technology into the remote sensing field in the future.

Computing Resource Sharing and Utilization System for Efficient Research Data Utilization (연구데이터 활용성 극대화 위한 컴퓨팅 리소스 공유활용 체계)

  • Song, Sa-kwang;Cho, Minhee;Lee, Mikyoung;Yim, Hyung-Jun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.430-432
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    • 2022
  • With the recent increase in interest in the open science movement in science and technology fields such as open access, open data, and open source, the movement to share and utilize publicly funded research products is materializing and revitalizing. In line with this trend, many efforts are being made to establish and revitalize a system for sharing and utilizing research data, which is a key resource for research in Korea. These efforts are mainly focused on collecting research data by field and institution, and linking it with DataON, a national research data platform, to search and utilize it. However, developed countries are building a system that can share and utilize not only such research data but also various types of R&D-related computing resources such as IaaS, PaaS, SaaS, and MLaaS. EOSC (European Open Science Cloud), ARDC (Australian Research Data Commons), and CSTCloud (China S&T Cloud) are representative examples. In Korea, the Korea Research Data Commons (KRDC) is designed and a core framework is being developed to facilitate the sharing of these computing resources. In this study, the necessity, concept, composition, and future plans of KRDC are introduced.

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A Study on a Ginseng Grade Decision Making Algorithm Using a Pattern Recognition Method (패턴인식을 이용한 수삼 등급판정 알고리즘에 관한 연구)

  • Jeong, Seokhoon;Ko, Kuk Won;Kang, Je-Yong;Jang, Suwon;Lee, Sangjoon
    • KIPS Transactions on Software and Data Engineering
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    • v.5 no.7
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    • pp.327-332
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    • 2016
  • This study is a leading research project to develop an automatic grade decision making algorithm of a 6-years-old fresh ginseng. For this work, we developed a Ginseng image acquiring instrument which can take 4-direction's images of a Ginseng at the same time and obtained 245 jingen images using the instrument. The 12 parameters were extracted for each image by a manual way. Lastly, 4 parameters were selected depending on a Ginseng grade classification criteria of KGC Ginseng research institute and a survey result which a distribution of averaging 12 parameters. A pattern recognition classifier was used as a support vector machine, designed to "k-class classifier" using the OpenCV library which is a open-source platform. We had been surveyed the algorithm performance(Correct Matching Ratio, False Acceptance Ratio, False Reject Ratio) when the training data number was controlled 10 to 20. The result of the correct matching ratio is 94% of the $1^{st}$ ginseng grade, 98% of the $2^{nd}$ ginseng grade, 90% of the $3^{rd}$ ginseng grade, overall, showed high recognition performance with all grades when the number of training data are 10.

Android-Based Open Platform Intelligent Vehicle Services Middleware Application (안드로이드 기반의 지능형자동차 미들웨어 오픈플랫폼 서비스 응용)

  • Choi, Byung-Kwan
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.8
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    • pp.33-41
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    • 2013
  • Intelligent automobile technology and IT convergence, the development of new imaging technology media applications based on open source Android installed on tracked, wheeled smart phone application technology and the development of intelligent vehicles as a new paradigm a lot of research and development being made. Android-based intelligent automotive applications, technology, and evolved into the center of a set of various multimedia technologies move beyond the limits of the means of each of multimedia platforms, services and applications that have been developed in such a distributed environment, has been developed according to a variety of services through technology mobile terminal device technology is an absolute requirement. In this paper, SVC Codec, real-time video and graphics processing and SoC design intelligent vehicles middleware applications with monolithic system specification through Android-based design of intelligent vehicles dedicated middleware research experiments on open platforms, and provides various terminal services functions SoC based on a newly designed and standardized interface analysis techniques in this study were verified through experiments.

Enhancing Social Value of Hospital School through Open Innovation with Networking: The Cooperative Case of YUH's Hospital School and YUBS's Volunteering Club of Herewego (병원학교의 사회적 가치 증진을 위한 개방형 혁신 네트워킹에 관한 연구: 영남대학교의료원 병원학교와 영남대학교 경영대학 교육기부봉사 사업단 '희열위고'의 협업사례를 중심으로)

  • Park, Jaechan;Lee, Jae-Min
    • Knowledge Management Research
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    • v.19 no.4
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    • pp.133-148
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    • 2018
  • The hospital school is an organization designed to encourage long-term health-impaired students to receive treatment and education at the same time. There are 33 hospital schools in Korea. However, the management of hospital schools varies greatly depending on the amount of resources and support they possess, and especially the lack of manpower and quality improvement of education programs were found to be the biggest problems. This study aims to discuss the case of Hospital School in Yeungnam University Hospital (YUH), which successfully overcame internal resource limitations while solving existing hospital schools through networking and open innovation with external organizations. In particular, through cooperation with students of Herewego, volunteering club in Yeungnam University business school(YUBS), we increased the social interest of hospital school by creating a special program with financial support of Daegu city. They created customized education service programs for hospital schools that reflect their major-business management. The cooperativ e case of YUH's Hospital School and YUBS's Volunteering Club of Herewego showed that the cooperation is not only about volunteering service but also the open innovation, introduced as a platform to expand the company's source of product development. We think that this is a case of value creation through exchange of knowledge. It could have many implications for solving the problem of hospital school.