• 제목/요약/키워드: Smart platform

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스마트 그리드 응용에 적합한 고속Hybrid MAC 구현에 관한 연구 (A Study on the Implementation of High-Speed Hybrid MAC for Smart Grid Application)

  • 권대길;김용성;조진웅;홍대기
    • 반도체디스플레이기술학회지
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    • 제13권1호
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    • pp.73-81
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    • 2014
  • In this paper, high-speed Hybrid MAC (Medium Access Control layer) implementation suitable for smart grid applications is researched. MB-OFDM (Multi-Band Orthogonal Frequency Division Multiplexing) is considered for high-speed communication method in smart grid application. In this paper, the MAC adopts the distributed network managing method. Also, the MB-OFDM merit of high-speed transfer rate of up to 480Mbps must be supported. Hence, this paper presents an efficient hardware-software integration (co-design) method in order to realize a high- speed transmission, and a realizing method of distribution network. Finally, MAC performance and reliability based on MB-OFDM PHY (PHYsical layer) are confirmed through simulation and emulation.

스마트 기기 간의 정보 공유를 위한 복합 환경센서 플랫폼 설계 (Design of an Compound Environment Sensing Platform for Sharing Environment Information between Smart Devices)

  • 송병철;임승옥;서정욱
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2014년도 추계학술대회
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    • pp.543-544
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    • 2014
  • 본 논문에서는 스마트 기기(게이트웨이, 폰, 패드 등)와 정보를 공유하기 위한 복합 환경센서 플랫폼을 설계한다. 복합 환경센서 플랫폼은 온/습도 센서, 토양 온도/습도 센서, 태양광 센서 등을 하나의 플랫폼에서 지원할 수 있도록 설계되었으며, 수집된 정보는 ZigBee 통신을 통해 스마트 게이트웨이로 전달되고, 이 게이트웨이를 통해 스마트 폰/패드 등과 트윗트를 통해 정보를 공유할 수 있다.

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실시간 클라우드 시스템 플랫폼 구축을 위한, 스마트 디바이스와 센서 간 상호 운용성 연구 (A Base Study on Interoperability between Smart Device and Senser, for building Real Time Cloud System Platform)

  • 안성근;조정훈;정민우
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2013년도 추계학술발표대회
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    • pp.501-504
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    • 2013
  • Smart Device의 성능은 기존 Embedded System과는 비교가 무의미할 만큼 성장하였다. 하지만 실시간으로 외부의 다양한 데이터를 처리하기 위해서는 아직 Smart Device의 자원이 충분하지 않다. 이를 해소하기 위한 방안으로 신호의 처리와 관리는 풍부한 자원을 가진 서버에서 수행하고 스마트 기기는 신호 전달 및 처리 결과 수신의 제한적인 역할을 수행할 수 있는 Cloud System이 필요하며 덧붙여, 시스템을 다양한 계측 분야에서 유연하게 활용하기 위해 여러 종류의 신호들을 다양하게 처리해 줄 수 있는 Cloud Cluster와 이를 관리해줄 Platform의 구축이 이뤄져야한다. 본 연구는 그 중에서도 실시간성을 요하는 모델을 고려하여 Real Time Cloud System Platform의 구축을 위한 기반연구로서, Smart Device와 Senser 간의 Interoperability에 초점을 두고 Proto Type의 구현과 몇몇 세부 쟁점에 대한 실험 및 연구 분석 결과를 포함한다.

OpenRISC 기반의 버츄얼 플랫폼 (Virtual Platform based on OpenRISC)

  • 장형욱;이재진;변경진;엄낙웅;정상배
    • 스마트미디어저널
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    • 제3권4호
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    • pp.9-15
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    • 2014
  • 버츄얼 플랫폼은 SoC를 구성하는 프로세서 코어 및 주변장치들을 소프트웨어로 모델링한 것으로, 현재 국내외 대기업에서는 버츄얼 플랫폼을 활용한 Top-Down 설계 플로우를 기반으로 최적 SW+SoC 융합시스템 구조 설계 및 IP 재활용을 통해 개발한 다양한 플랫폼을 제품 개발에 활용하고 있다. 본 논문에서는 오픈 IP인 OpenRISC 프로세서 코어 기반의 버츄얼 플랫폼을 제안한다. 제안된 버츄얼 플랫폼은 타겟 코드를 호스트 코드로 변환하여 수행하는 코드 변환 기법을 사용하여 약 20 MIPS 급의 고속 에뮬레이션을 지원한다.

A Study on Big Data Analytics Services and Standardization for Smart Manufacturing Innovation

  • Kim, Cheolrim;Kim, Seungcheon
    • International Journal of Internet, Broadcasting and Communication
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    • 제14권3호
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    • pp.91-100
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    • 2022
  • Major developed countries are seriously considering smart factories to increase their manufacturing competitiveness. Smart factory is a customized factory that incorporates ICT in the entire process from product planning to design, distribution and sales. This can reduce production costs and respond flexibly to the consumer market. The smart factory converts physical signals into digital signals, connects machines, parts, factories, manufacturing processes, people, and supply chain partners in the factory to each other, and uses the collected data to enable the smart factory platform to operate intelligently. Enhancing personalized value is the key. Therefore, it can be said that the success or failure of a smart factory depends on whether big data is secured and utilized. Standardized communication and collaboration are required to smoothly acquire big data inside and outside the factory in the smart factory, and the use of big data can be maximized through big data analysis. This study examines big data analysis and standardization in smart factory. Manufacturing innovation by country, smart factory construction framework, smart factory implementation key elements, big data analysis and visualization, etc. will be reviewed first. Through this, we propose services such as big data infrastructure construction process, big data platform components, big data modeling, big data quality management components, big data standardization, and big data implementation consulting that can be suggested when building big data infrastructure in smart factories. It is expected that this proposal can be a guide for building big data infrastructure for companies that want to introduce a smart factory.

GS1을 활용한 빅데이터 분석 플랫폼 기반의 스마트 소화기구 모니터링 시스템 (Smart Fire Fighting Appliances Monitoring System using GS1 based on Big Data Analytics Platform)

  • 박흠
    • 디지털산업정보학회논문지
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    • 제14권4호
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    • pp.57-68
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    • 2018
  • This paper presents a smart firefighting appliances monitoring system based on big data analytics platform using GS1 for Smart City. Typical firefighting appliances are fire hydrant, fire extinguisher, fire alarm, sprinkler, fire engine, etc. for the fire of classes A/B/C/D/E. Among them, the dry chemical fire extinguisher have been widely supplied and 6 millions ones were replaced for the aging ones over 10 years in the past year. However, only 5% of them have been collected for recycling of chemical materials included the heavy metals of environment pollution. Therefore, we considered the trace of firefighting appliances from production to disposal for the public open service. In the paper, we suggest 1) a smart firefighting appliances system using GS1, 2) a big data analytics platform and 3) a public open service and visualization with the analyzed information, for fire extinguishers from production to disposal. It can give the information and the visualized diagrams with the analyzed data through the public open service and the free Apps.

A Mixed-Method Approach to Explore the Motivations and Constraints of Kiosks Consumers

  • Taehyee Um;Hyunji Kim;Jumi RHee;Namho Chung
    • Asia pacific journal of information systems
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    • 제32권1호
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    • pp.92-124
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    • 2022
  • Providing services using kiosks is actively carried out between suppliers and consumers. These service processes have recently begun to play a dominant role in transactions. However, previous self-service technology (SST) studies or kiosks have not fully reflected the changing environment surrounding these different technologies. To cover the updated business environments, we combined qualitative and quantitative research methods. Through qualitative research and a review of previous studies, the variables emphasized as motivations and constraints for kiosks use and those that can be newly illuminated were selected for this study. We then applied the variables to the research model to assess their influence. In terms of the motivations for using kiosks, the results suggest that perceived usefulness and compatibility as service quality, forced use, and perceived service providers' efficiency as provider polices, absorptive capacity, and habit as an individual characteristic and social influence as a subjective norm have a significant effect on the attitude toward kiosks. In terms of constraints, difficult to use and need for interaction predicts the attitude toward kiosks. Attitude toward kiosks, perceived behavioral control, and social influence are directly related to the intention to use kiosks. Lastly, intention to use kiosks plays a significant role as an antecedent of revisit intention. Using these empirical results, we propose both academic and practical implications for future kiosks use.

스마트센서를 활용한 근골격계 질환 위험 평가 플랫폼 (A Work-related Musculoskeletal Disorder Risk Assessment Platform using Smart Sensor)

  • 노병국
    • 한국안전학회지
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    • 제30권3호
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    • pp.93-99
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    • 2015
  • Economic burden of work-related musculoskeletal disorder(WMDs) is increasing. Known causes of WMDs include improper posture, repetition, load, and temperature of workplace. Among them, improper postures play an important role. A smart sensor called SensorTag is employed to estimate the trunk postures including flexion-extension, lateral bend, and the trunk rotational speeds. Measuring gravitational acceleration vector in the smart sensor along the tri-orthogonal axes offers an orientation of the object with the smart sensor attached to. The smart sensor is light in weight and has small form factor, making it an ideal wearable sensor for body posture measurement. Measured data from the smart senor is wirelessly transferred for analysis to a smartphone which has enough computing power, data storage and internet-connectivity, removing need for additional hardware for data post-processing. Based on the estimated body postures, WMDs risks can be conviently gauged by using existing WMDs risk assesment methods such as OWAS, RULA, REBA, etc.