• Title/Summary/Keyword: open-source platform

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Automatic recognition of the old and the infirm using Arduino technology implementation (아두이노를 사용하여 노약자 자동 인식 기술 구현)

  • Choi, Chul-kil;Lee, Sung-jin;Choi, Byeong-yoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.454-457
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    • 2014
  • 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, RFID technology Sealed for automatic recognition of the elderly by the elderly to identify and tag them SM130 13.56Mhz compatible hardware was constructed by combining tags.

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A Study on the Development of an Automatic Classification System for Life Safety Prevention Service Reporting Images through the Development of AI Learning Model and AI Model Serving Server (AI 학습모델 및 AI모델 서빙 서버 개발을 통한 생활안전 예방 서비스 신고 이미지 자동분류 시스템 개발에 대한 연구)

  • Young Sic Jeong;Yong-Woon Kim;Jeongil Yim
    • Journal of the Society of Disaster Information
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    • v.19 no.2
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    • pp.432-438
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    • 2023
  • Purpose: The purpose of this study is to enable users to conveniently report risks by automatically classifying risk categories in real time using AI for images reported in the life safety prevention service app. Method: Through a system consisting of a life safety prevention service platform, life safety prevention service app, AI model serving server and sftp server interconnected through the Internet, the reported life safety images are automatically classified in real time, and the AI model used at this time An AI learning algorithm for generation was also developed. Result: Images can be automatically classified by AI processing in real time, making it easier for reporters to report matters related to life safety.Conclusion: The AI image automatic classification system presented in this paper automatically classifies reported images in real time with a classification accuracy of over 90%, enabling reporters to easily report images related to life safety. It is necessary to develop faster and more accurate AI models and improve system processing capacity.

A Study on IoT based Real-Time Plants Growth Monitoring for Smart Garden

  • Song, Mi-Hwa
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.1
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    • pp.130-136
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    • 2020
  • There are many problems that occur currently in agriculture industries. The problems such as unexpected of changing weather condition, lack of labor, dry soil were some of the reasons that may cause the growth of the plants. Condition of the weather in local area is inconsistent due to the global warming effect thus affecting the production of the crops. Furthermore, the loss of farm labor to urban manufacturing jobs is also the problem in this industry. Besides, the condition for the plant like air humidity, air temperature, air quality index, and soil moisture are not being recorded automatically which is more reason for the need of implementation system to monitor the data for future research and development of agriculture industry. As of this, we aim to provide a solution by developing IoT-based platform along with the irrigation for increasing crop quality and productivity in agriculture field. We aim to develop a smart garden system environment which the system is able to auto-monitoring the humidity and temperature of surroundings, air quality and soil moisture. The system also has the capability of automating the irrigation process by analyzing the moisture of soil and the climate condition (like raining). Besides, we aim to develop user-friendly system interface to monitor the data collected from the respective sensor. We adopt an open source hardware to implementation and evaluate this research.

A Study of Security Issues of Cognitive Radio Network (인지 무선통신 네트워크의 보안 문제 연구)

  • Moon, Sangook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.10a
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    • pp.662-665
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    • 2011
  • The cognitive radio (CR) network has been studied in the form of open source by vast number of communities, and the potential expectation is very high since the CR is based on reprogrammable platform. However, this characteristics of open-source software take high risk as well. As the peer-to-peer software has been abused, so high is the chance that the CR network can be abused public wide. Consequently, the benefit from the study of next-generation wireless network can be at risk because of the negative impact of violation of communication law or abusing the CR. In this contribution, we analyze the issues and the problems of the CR and discuss an efficient measure against security attacks.

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A Study on Big Data Processing Technology Based on Open Source for Expansion of LIMS (실험실정보관리시스템의 확장을 위한 오픈 소스 기반의 빅데이터 처리 기술에 관한 연구)

  • Kim, Soon-Gohn
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.14 no.2
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    • pp.161-167
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    • 2021
  • Laboratory Information Management System(LIMS) is a centralized database for storing, processing, retrieving, and analyzing laboratory data, and refers to a computer system or system specially designed for laboratories performing inspection, analysis, and testing tasks. In particular, LIMS is equipped with a function to support the operation of the laboratory, and it requires workflow management or data tracking support. In this paper, we collect data on websites and various channels using crawling technology, one of the automated big data collection technologies for the operation of the laboratory. Among the collected test methods and contents, useful test methods and contents useful that the tester can utilize are recommended. In addition, we implement a complementary LIMS platform capable of verifying the collection channel by managing the feedback.

Role of Project Owner in OSS Project: Based on Impression Formation and Social Capital Theory (오픈소스 소프트웨어 운영자 역할이 성과에 미치는 영향: 인상형성과 사회적 자본 이론을 중심으로)

  • Lee, Saerom;Baek, Hyunmi;Jahng, Jungjoo
    • The Journal of Society for e-Business Studies
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    • v.21 no.2
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    • pp.23-46
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    • 2016
  • With the increasing socio-economic value of an open collaboration over the Internet, it has become significantly important to successfully manage open source software development program. Most of the previous research have focused on various factors that influence the performance of the project, but studies on how the project owners recognized as "leader" affect the outcome of the project are very limited. This research investigates how individual and governance characteristics of an owner influences the performance of project based on impression formation and social capital theory. For a data set, we collect 611 Repositories and the owner's data from the open source development platform Github, and we form knowledge sharing network of an each repository by using social network analysis. We use hierarchical regression analysis, and our results show that a leader, who exposes a lot of one's personal information or who has actively followed and showed interests to communicate with other developers, affects positive impacts on project performance. A leader who has a high centrality in knowledge sharing network also positively affects on project performance. On the other hand, if a leader was highly willing to accept external knowledge or is recognized as an expert in the community with large numbers of followers, the result show negative impacts on project performance. The research may serve as a useful guideline not only for the future open source software projects but also for the effective management of different types of open collaboration.

Analysis and Comparison of Open Source Cloud Computing Platform (오픈소스 클라우드 컴퓨팅 플랫폼 분석 및 비교)

  • Jo, Chung Gi;Youn, Hee Yong
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2015.01a
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    • pp.155-158
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    • 2015
  • 클라우드 컴퓨팅 기술의 발전과 맞물려서 이를 위한 많은 플랫폼들이 제안되고 있다. Amazon이나 Google 등의 세계적인 기업들을 이미 자신들 만의 플랫폼을 구축하여 안정적으로 서비스를 제공하고 있으며 오픈소스 커뮤니티들이 주도 하는 오픈 플랫폼들도 속속 등장하여 발전을 거듭하고 있다. 본 논문에서는 가장 대표적이고 널리 사용되는 오픈소스 기반의 클라우드 컴퓨팅 플랫폼들을 분석하고 그 기능들을 서로 비교해서 사용자가 자신의 요구사항에 가장 적합한 플랫폼을 선택할 수 있게 한다.

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PBFT Blockchain-Based OpenStack Identity Service

  • Youngjong, Kim;Sungil, Jang;Myung Ho, Kim;Jinho, Park
    • Journal of Information Processing Systems
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    • v.18 no.6
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    • pp.741-754
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    • 2022
  • Openstack is widely used as a representative open-source infrastructure of the service (IaaS) platform. The Openstack Identity Service is a centralized approach component based on the token including the Memcached for cache, which is the in-memory key-value store. Token validation requests are concentrated on the centralized server as the number of differently encrypted tokens increases. This paper proposes the practical Byzantine fault tolerance (PBFT) blockchain-based Openstack Identity Service, which can improve the performance efficiency and reduce security vulnerabilities through a PBFT blockchain framework-based decentralized approach. The experiment conducted by using the Apache JMeter demonstrated that latency was improved by more than 33.99% and 72.57% in the PBFT blockchain-based Openstack Identity Service, compared to the Openstack Identity Service, for 500 and 1,000 differently encrypted tokens, respectively.

An Anti-Overload Model for OpenStack Based on an Effective Dynamic Migration

  • Ammar, Al-moalmi;Luo, Juan;Tang, Zhuo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.9
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    • pp.4165-4187
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    • 2016
  • As an emerging technology, cloud computing is a revolution in information technology that attracts significant attention from both public and private sectors. In this paper, we proposed a dynamic approach for live migration to obviate overloaded machines. This approach is applied on OpenStack, which rapidly grows in an open source cloud computing platform. We conducted a cost-aware dynamic live migration for virtual machines (VMs) at an appropriate time to obviate the violation of service level agreement (SLA) before it happens. We conducted a preemptive migration to offload physical machine (PM) before the overload situation depending on the predictive method. We have carried out a distributed model, a predictive method, and a dynamic threshold policy, which are efficient for the scalable environment as cloud computing. Experimental results have indicated that our model succeeded in avoiding the overload at a suitable time. The simulation results from our solution remarked the very efficient reduction of VM migrations and SLA violation, which could help cloud providers to deliver a good quality of service (QoS).

Performance Evaluation of CoAP-based Internet-of-Things System (CoAP 기반 사물인터넷 시스템 성능평가)

  • Choo, Young Yeol;Ha, Yong Jun;Son, Soo Dong
    • Journal of Korea Multimedia Society
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    • v.19 no.12
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    • pp.2014-2023
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    • 2016
  • Web presence is one of the key issues for extensive deployment of Internet-of-Things (IoT). An obstacle to overcome for Web presence is relatively low computing power of IoT devices. In this paper, we present implementation of an IoT platform based on Constrained Application Protocol (CoAP) which is a web transfer protocol proposed by Internet Engineering Task Force (IETF) for the low performance IoT devices such as Wireless Sensor Network (WSN) nodes and micro-controllers. To qualify the performance of CoAP-based IoT system for such an application as smart grid, we designed a test platform consisting of Raspberry Pi2, Kmote WSN node and a desktop PC. Using open source softwares, CoAP was implemented on top of the platform. Leveraging the GET command defined at CoAP specification, performance of the system was measured in terms of round-trip time (RTT) from web application to the Kmote sensor node. To investigate abnormal cases among the test results, hop-by-hop delays were measured to analyze resulting data. The average response time of CoAP-based communication except the abnormal data was reduced by 23% smaller than the previous research result.