• 제목/요약/키워드: Computing Platform

검색결과 864건 처리시간 0.025초

유비쿼터스 컴퓨팅을 위한 센서 디바이스 Plug & Play (Sensor Device Plug & Play for Ubiquitous Computing)

  • 박정선;은성배;윤현주
    • 대한임베디드공학회논문지
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    • 제7권3호
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    • pp.151-156
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    • 2012
  • When mounting the sensor device in the way of Plug&Play, sensor device drivers need to be loaded and linked dynamically. Since a sensor node platform is based on small 8 bit MCU, dynamic loading and linking technique used in Windows and Linux can not be applied. In this paper, we present how to link and load dynamically sensor device drivers for sensor device Plug&Play. We implement a prototype and evaluate it to make sure that there is no performance degradation like sensor device driver connection speed and memory usage. Connection speed overhead increases to 0.2ms. Memory usage overhead increases to hundreds byte. It shows that there is no heavy influence in running the actual program.

센서네트워크를 위한 Dual Priority Scheduling 기반 시스템 소프트웨어 모델링 (System Software Modeling Based on Dual Priority Scheduling for Sensor Network)

  • 황태호;김동순;문연국;김성동;김정국
    • 대한임베디드공학회논문지
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    • 제2권4호
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    • pp.260-273
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    • 2007
  • The wireless sensor network (WSN) nodes are required to operate for several months with the limited system resource such as memory and power. The hardware platform of WSN has 128Kbyte program memory and 8Kbytes data memory. Also, WSN node is required to operate for several months with the two AA size batteries. The MAC, Network protocol, and small application must be operated in this WSN platform. We look around the problem of memory and power for WSN requirements. Then, we propose a new computing model of system software for WSN node. It is the Atomic Object Model (AOM) with Dual Priority Scheduling. For the verification of model, we design and implement IEEE 802.15.4 MAC protocol with the proposed model.

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DCP 환경에서의 고속 Serial 네트웍 환경구현 (High Speed Serial Network Environment on DCP)

  • 박창원;정하중;전기만
    • 한국정보통신설비학회:학술대회논문집
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    • 한국정보통신설비학회 2006년도 하계학술대회
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    • pp.87-90
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    • 2006
  • Nowadays, we can enjoy access to high speed network and advanced services of convergence between broadcasting and communication anywhere and anytime through a ubiquitous computing. So, now digital convergence devices come out constantly. These devices are required faster network environment for high speed data processing than before. In this paper, we describe the design of InfiniBnad network adapter, which is included two FPGA chipsets. When this adapter is installed to Digital Convergence Platform (DCP) network performance will be improved. The adapter includes 12channel serial ports for external communication and internally, uses PCI-Express bus. We have finished the test of high speed serial based network adapter through composing complete InfiniBand network and applied fabric management software. So, we have verified that it can be applied on DCP environment.

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Knowledge Extractions, Visualizations, and Inference from the big Data in Healthcare and Medical

  • Kim, Jin Sung
    • 한국지능시스템학회논문지
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    • 제23권5호
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    • pp.400-405
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    • 2013
  • The purpose of this study is to develop a composite platform for knowledge extractions, visualizations, and inference. Generally, the big data sets were frequently used in the healthcare and medical area. To help the knowledge managers/users working in the field, this study is focused on knowledge management (KM) based on Data Mining (DM), Knowledge Distribution Map (KDM), Decision Tree (DT), RDBMS, and SQL-inference. The proposed mechanism is composed of five key processes. Firstly, in Knowledge Parsing, it extracts logical rules from a big data set by using DM technology. Then it transforms the rules into RDB tables. Secondly, through Knowledge Maintenance, it refines and manages the knowledge to be ready for the computing of knowledge distributions. Thirdly, in Knowledge Distribution process, we can see the knowledge distributions by using the DT mechanism.Fourthly, in Knowledge Hierarchy, the platform shows the hierarchy of the knowledge. Finally, in Inference, it deduce the conclusions by using the given facts and data.This approach presents the advantages of diversity in knowledge representations and inference to improve the quality of computer-based medical diagnosis.

클라우드 환경에서 Linux Virtual Server 로드밸런싱 구현 (Implementation of Linux Virtual Server Load Balancing in Cloud Environment)

  • 서경석;이봉환
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2012년도 추계학술대회
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    • pp.793-796
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    • 2012
  • 최근 에너지 소비의 지속적 증가 및 에너지 가격의 급격한 상승으로 그린 IT 도입 운영이 필수적인 요소로 인식됨에 따라 서버 발열 및 데이터센터 에너지 절감을 위해 IT 인프라는 클라우드 컴퓨팅 플랫폼으로 대체 되어가고 있다. 본 연구에서는 일반 저비용 웹서비스 인프라를 오픈소스 기반 클라우드 플랫폼으로 변환하고 Linux Virtual Server 로드 밸런싱을 구현하여 그 성능을 분석하였다.

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유비쿼터스 컴퓨팅 환경에 적합한 우선순위 기반 지니 리스 스케줄러의 구현 (The Implementation of Priority Based Jini Lease Scheduler for Ubiquitous Computing Environment)

  • 김기섭;김영윤
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2003년도 추계학술발표논문집 (중)
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    • pp.895-898
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    • 2003
  • 유비쿼터스 컴퓨팅 환경 안에서 모바일/임베디드 장치는 하드웨어적인 제약이 있어 충분한 저장 공간을 갖기가 어렵다. 지니 기술은 네트워크 가능한 모바일/임베디드 장치가 필요로 하는 서비스를 작업 그룹 내에서 검색하고 시스템의 재구성 없이 네트워크를 통해 일정 기간 동안 사용할 수 있도록 해줌으로써 이러한 문제를 해결해준다. 기존의 지니 기술에 서비스를 사용하는 사용자에게 우선순위를 부여하고 이에 따라 서비스 리스 사용 시간을 스케줄해주는 기능을 추가함으로써 효율적인 자원 관리를 해줄 수 있다.

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Hardware Platforms for Flash Memory/NVRAM Software Development

  • Nam, Eyee-Hyun;Choi, Ki-Seok;Choi, Jin-Yong;Min, Hang-Jun;Min, Sang-Lyul
    • Journal of Computing Science and Engineering
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    • 제3권3호
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    • pp.181-194
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    • 2009
  • Flash memory is increasingly being used in a wide range of storage applications because of its low power consumption, low access latency, small form factor, and high shock resistance. However, the current platforms for flash memory software development do not meet the ever-increasing requirements of flash memory applications. This paper presents three different hardware platforms for flash memory/NVRAM (non-volatile RAM) software development that overcome the limitations of the current platforms. The three platforms target different types of host system and provide various features that facilitate the development and verification of flash memory/NVRAM software. In this paper, we also demonstrate the usefulness of the three platforms by implementing three different types of storage system (one for each platform) based on them.

MOBILE PLATFORM FOR PRICING OF EQUITY-LINKED SECURITIES

  • JIAN, WANG;BAN, JUNGYUP;HAN, JUNHEE;LEE, SEONGJIN;JEONG, DARAE
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제21권3호
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    • pp.181-202
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    • 2017
  • In this paper, we develop a mobile platform for pricing equity linked securities(ELS) using Monte Carlo simulation. Mobile phone or smartphone is an important part of most people's lives and has become an everyday item at the present day. Moreover, importance of technologies for anytime and anywhere is increasing daily. Thus, we construct a mobile computing environment for pricing ELS instead of desktops or laptop computers. We provide a detailed Java programming code and a process manual to easily follow up all processes of this paper.

Challenges and Opportunities of Big Data

  • Khalil, Md Ibrahim;Kim, R. Young Chul;Seo, ChaeYun
    • Journal of Platform Technology
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    • 제8권2호
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    • pp.3-9
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    • 2020
  • Big Data is a new concept in the global and local area. This field has gained tremendous momentum in the recent years and has attracted attention of several researchers. Big Data is a data analysis methodology enabled by recent advances in information and communications technology. However, big data analysis requires a huge amount of computing resources making adoption costs of big data technology. Therefore, it is not affordable for many small and medium enterprises. We survey the concepts and characteristics of Big Data along with a number of tools like HADOOP, HPCC for managing Big Data. It also presents an overview of big data like Characteristics of Big data, big data technology, big data management tools etc. We have also highlighted on some challenges and opportunities related to the fields of big data.

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Machine Learning-Based Programming Analysis Model Proposal : Based on User Behavioral Analysis

  • Jang, Seonghoon;Shin, Seung-Jung
    • International journal of advanced smart convergence
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    • 제9권4호
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    • pp.179-183
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    • 2020
  • The online education platform market is developing rapidly after the coronavirus infection-19 pandemic. As school classes at various levels are converted to non-face-to-face classes, interest in non-face-to-face online education is increasing more than ever. However, the majority of online platforms currently used are limited to the fragmentary functions of simply delivering images, voice and messages, and there are limitations to online hands-on training. Indeed, digital transformation is a traditional business method for increasing coding education and a corporate approach to service operation innovation strategy computing thinking power and platform model. There are many ways to evaluate a computer programmer's ability. Generally, piecemeal evaluation methods are used to evaluate results in time through coding tests. In this study, the purpose of this study is to propose a comprehensive evaluation of not only the results of writing, but also the execution process of the results, etc., and to evaluate the programmer's propensity habits based on the programmer's coding experience to evaluate the programmer's ability and productivity.