• 제목, 요약, 키워드: Intelligent Platform

검색결과 448건 처리시간 0.036초

스마트홈 지능형 서비스 플랫폼을 위한 데이터 마이닝 기법에 대한 적합도 평가 (An Evaluation of the Suitability of Data Mining Algorithms for Smart-Home Intelligent-Service Platforms)

  • 김길환;금창섭;정기숙
    • 산업경영시스템학회지
    • /
    • v.40 no.2
    • /
    • pp.68-77
    • /
    • 2017
  • In order to implement the smart home environment, we need an intelligence service platform that learns the user's life style and behavioral patterns, and recommends appropriate services to the user. The intelligence service platform should embed a couple of effective and efficient data mining algorithms for learning from the data that is gathered from the smart home environment. In this study, we evaluate the suitability of data mining algorithms for smart home intelligent service platforms. In order to do this, we first develop an intelligent service scenario for smart home environment, which is utilized to derive functional and technical requirements for data mining algorithms that is equipped in the smart home intelligent service platform. We then evaluate the suitability of several data mining algorithms by employing the analytic hierarchy process technique. Applying the analytical hierarchy process technique, we first score the importance of functional and technical requirements through a hierarchical structure of pairwise comparisons made by experts, and then assess the suitability of data mining algorithms for each functional and technical requirements. There are several studies for smart home service and platforms, but most of the study have focused on a certain smart home service or a certain service platform implementation. In this study, we focus on the general requirements and suitability of data mining algorithms themselves that are equipped in smart home intelligent service platform. As a result, we provide a general guideline to choose appropriate data mining techniques when building a smart home intelligent service platform.

Ubiquitous Service Platform using Contextual Information

  • Yoon, Hyung-Min;Jeong, Seong-Hun;Kwon, Oh-Young;Han, Tack-Don
    • 한국산학기술학회:학술대회논문집
    • /
    • /
    • pp.231-235
    • /
    • 2003
  • Network infrastructure has spread to an unprecedented extent and is used in various computing devices, such as smart appliances, smart phones, and embedded devices with sensors, which have all been appearing in the computing environment. To accommodate this trend, for a more intelligent service environment, the service platform needs to have abilities that facilitate the operation between services, dynamically share distributed computing resources, and manage appropriate contextual information. We have simulated a service platform to provide intelligent services using contextual information after having implemented the context management service. The context management service gathers raw contextual information from sensors and stores these in the context database. For a consistent basis of contextual information, time and location are used as the key values of the contextual information. The context management service also performs normalization to provide computable contextual information to context-aware applications. In this paper, a service platform based on Jini technology is proposed for constructing an interoperable, dynamic, and . intelligent service environment using contextual information.

  • PDF

IoT 기반 지능형 수위 모니터링 플랫폼 설계 및 구현 (Design and Implementation of IoT-Based Intelligent Platform for Water Level Monitoring)

  • 박지훈;강문성;송정헌;전상민
    • 농촌계획
    • /
    • v.21 no.4
    • /
    • pp.177-186
    • /
    • 2015
  • The main objective of this study was to assess the applicability of IoT (Internet of Things)-based flood management under climate change by developing intelligent water level monitoring platform based on IoT. In this study, Arduino Uno was selected as the development board, which is an open-source electronic platform. Arduino Uno was designed to connect the ultrasonic sensor, temperature sensor, and data logger shield for implementing IoT. Arduino IDE (Integrated Development Environment) was selected as the Arduino software and used to develop the intelligent algorithm to measure and calibrate the real-time water level automatically. The intelligent water level monitoring platform consists of water level measurement, temperature calibration, data calibration, stage-discharge relationship, and data logger algorithms. Water level measurement and temperature calibration algorithm corrected the bias inherent in the ultrasonic sensor. Data calibration algorithm analyzed and corrected the outliers during the measurement process. The verification of the intelligent water level measurement algorithm was performed by comparing water levels using the tape and ultrasonic sensor, which was generated by measuring water levels at regular intervals up to the maximum level. The statistics of the slope of the regression line and $R^2$ were 1.00 and 0.99, respectively which were considered acceptable. The error was 0.0575 cm. The verification of data calibration algorithm was performed by analyzing water levels containing all error codes in a time series graph. The intelligent platform developed in this study may contribute to the public IoT service, which is applicable to intelligent flood management under climate change.

Relevant Analysis on User Choice Tendency of Intelligent Tourism Platform under the Background of Text mining

  • Liu, Zi-Yang;Liao, Kai;Guo, Zi-Han
    • 한국컴퓨터정보학회논문지
    • /
    • v.24 no.9
    • /
    • pp.119-125
    • /
    • 2019
  • The purpose of this study is to find out the relevant factors of the choice tendency of tourism users to Intelligent Tourism platform through big data analysis, which will help enterprises to make accurate positioning and improvement according to user information feedback in the tourism market in the future, so as to gain the favor of users' choice and achieve long-term market competitiveness. This study takes the Intelligent Tourism platform as the independent variable and the user choice tendency as the dependent variable, and explores the related factors between the Intelligent Tourism platform and the user choice tendency. This study make use of text mining and R language text analysis, and uses SPSS and AMOS statistical analysis tools to carry out empirical analysis. According to the analysis results, the conclusions are as follows: service quality has a significant positive correlation with user choice tendency; service quality has a significant positive correlation with tourism trust; Tourism Trust has a significant positive correlation with user choice tendency; service quality has a significant positive correlation with user experience; user experience has a significant positive correlation with user choice tendency Positive correlation effect.

실시간 범죄대응을 위한 지능형 방범 통합 플랫폼 요소 설정 및 연계방안 연구 (A Study on Establishment and Connection of Intelligent Security Integrated Platform Elements for Real-Time Crime Response)

  • 최우철;나준엽
    • 한국산학기술학회논문지
    • /
    • v.19 no.10
    • /
    • pp.8-15
    • /
    • 2018
  • 본 논문은 실시간 범죄대응 및 예방적 방범을 위한 지능형 방범 통합 플랫폼 개발 연구를 진행하였다. 방범 시스템 및 플랫폼 연구, 지능형 방범 관련 연구 등의 선행연구와 지자체 통합운영센터 방범시스템 사례를 분석하여 지능형 방범 플랫폼 요소를 설정하였다. 이를 통해 실질적인 지능형 방범 플랫폼을 개발하고, 확장성을 고려한 기존 지자체 및 스마트시티 통합플랫폼 시스템과의 연계방안을 제시하였다. 이를 통해 기존 지자체 통합관제센터에서 사후처리로만 활용되는 CCTV 모니터링을 실시간 범죄에도 대응 가능하게 하고, 실외 뿐 아니라 실내에서도 신고자의 정밀한 위치를 파악하여 골든타임 내 사건 사고를 해결할 수 있을 것으로 기대된다. 또한 관제효율 향상 뿐 아니라 시민참여를 강화하여 시민 중심의 범죄 예방형 사회안전망 정보공유서비스 제공이 가능하다. 지능형 방범 플랫폼은 기존 지자체 시스템 및 스마트시티 통합플랫폼을 비롯한 타 방범서비스와의 연계 확장성을 고려하여 개발하였으므로 지자체 확산 보급되기 용이한 장점을 가진다. 향후 지능형 방범 플랫폼의 실질적 적용 및 운영, 지자체 확산을 위한 정책적 지원 등의 후속연구가 진행되어 국민들이 안전한 생활을 영위하는데 도움이 되길 기대한다.

Digital Library System by Advanced Distributed Agent Platform

  • Cho, Young-Im
    • International Journal of Fuzzy Logic and Intelligent Systems
    • /
    • v.4 no.1
    • /
    • pp.29-33
    • /
    • 2004
  • I propose a personalized digital library system (PDLS) based on an advanced distributed agent platform. The new platform is developed by improving the DECAF (Distributed Environment-Centered Agent Framework) which is one of the conventional distributed agent development toolkits. Also, a mobile ORB (Object Request Broker), Voyager, and a new multi agent negotiation algorithm are adopted to develop the advanced platform. The new platform is for mobile multi agents as well as the distributed environment, whereas the DECAF is for the distributed and non-mobile environment. From the results of the simulation the searched time of PDLS is lower, as the numbers of servers and agents are increased. And the user satisfaction is four times greater than the conventional client-server model. Therefore, the new platform has some optimality and higher performance in the distributed mobile environment.

지능형 의료 정보 제공을 위한 멀티 에이전트 플랫폼 (A Mu1ti-Agent Platform for Providing Intelligent Medical Information)

  • 최원기;김일곤
    • 지능정보연구
    • /
    • v.7 no.1
    • /
    • pp.123-133
    • /
    • 2001
  • 의료 정보 시스템은 많은 지식과 의료 인력과의 연계가 필요하기 때문에, 멀티 에이전트 시스템의 활용 영역으로 적합하다. 본 논문에서는 지능형 의료 정보 제공을 위한 멀티 에이전트 플랫폼의 설계 및 구현에 대해 기술한다. 멀티 에이전트 시스템을 이용하여 지능형 의료 영상 정보를 제공하기 위해 FIPA(Foundation for Intelligent Physical Agent)가 제안하는 에이전트 플랫폼 모델을 따르고 있다. 윈도우 기반에서 컴포넌트 활용을 위해 COM(Common Object Model)과 XML(Extensible Markup Language)로 인코딩된 ACL(Agent Communication Language)을 메시지 교환에 이용하고 있다. 치료 영역의 특성상 의료 전문 인력과의 연계가 아주 중요한 요소이기 때문에, 의료 인력을 하나의 휴먼 에이전트로 개념화하여 시스템에 연결하고, 소프트웨어 에이전트와 휴먼 에이전트들이 지식을 공유하기에 적합한 물리적 기반을 제공하여 지능형 의료 정보 서비스를 용이하게 한다.

  • PDF

자율주행자동차 오픈플랫폼 온톨로지 구축을 위한 스마트디바이스 연구 (A Study on Smart Device for Open Platform Ontology Construction of Autonomous Vihicles)

  • 최병관
    • 디지털산업정보학회논문지
    • /
    • v.15 no.3
    • /
    • pp.1-14
    • /
    • 2019
  • The 4th Industrial Revolution, intelligent automobile application technology is evolving beyond the limit of the mobile device to a variety of application software and multi-media collective technology with big data-based AI(artificial intelligence) technology. with the recent commercialization of 5G mobile communication service, artificial intelligent automobile technology, which is a fusion of automobile and IT technology, is evolving into more intelligent automobile service technology, and each multimedia platform service and application developed in such distributed environment is being developed Accordingly, application software technology developed with a single system SoC of a portable terminal device through various service technologies is absolutely required. In this paper, smart device design for ontology design of intelligent automobile open platform enables to design intelligent automobile middleware software design technology such as Android based SVC Codec and real time video and graphics processing that is not expressed in single ASIC application software technology as SoC based application designWe have experimented in smart device environment through researches, and newly designed service functions of various terminal devices provided as open platforms and application solutions in SoC environment and applied standardized interface analysis technique and proved this experiment.

EVALUATION OF SPEED AND ACCURACY FOR COMPARISON OF TEXTURE CLASSIFICATION IMPLEMENTATION ON EMBEDDED PLATFORM

  • Tou, Jing Yi;Khoo, Kenny Kuan Yew;Tay, Yong Haur;Lau, Phooi Yee
    • 한국방송∙미디어공학회:학술대회논문집
    • /
    • /
    • pp.89-93
    • /
    • 2009
  • Embedded systems are becoming more popular as many embedded platforms have become more affordable. It offers a compact solution for many different problems including computer vision applications. Texture classification can be used to solve various problems, and implementing it in embedded platforms will help in deploying these applications into the market. This paper proposes to deploy the texture classification algorithms onto the embedded computer vision (ECV) platform. Two algorithms are compared; grey level co-occurrence matrices (GLCM) and Gabor filters. Experimental results show that raw GLCM on MATLAB could achieves 50ms, being the fastest algorithm on the PC platform. Classification speed achieved on PC and ECV platform, in C, is 43ms and 3708ms respectively. Raw GLCM could achieve only 90.86% accuracy compared to the combination feature (GLCM and Gabor filters) at 91.06% accuracy. Overall, evaluating all results in terms of classification speed and accuracy, raw GLCM is more suitable to be implemented onto the ECV platform.

  • PDF

차량 인터넷 기술을 위한 시맨틱 차량-사물 연결 서비스 구현 (A Development of Semantic Connected Service between Vehicles and Things for IoV)

  • 류민우;차시호
    • 디지털산업정보학회논문지
    • /
    • v.14 no.4
    • /
    • pp.27-33
    • /
    • 2018
  • The recent efforts in academia and industry represent a paradigm shift that will extend the IoT from the home environment so that it is interoperable with the Internet of Vehicles (IoV). IoV is a special kind of IoT. It allows to connect between vehicle and things located in infrastructure. Furthermore, IoV enable to create new intelligent services through collaboration with existing various services such as smart city and connected home. In this paper, we develop a service in order to realize IoV. To this end, we design a novel vehicle service platform which could automatical controlling the IoT device according to drivers' voice. To show practical usability of our proposed platform, we develop a prototype service could be call car-to-thing (C2T). We expect that our proposed platform could eventually contribute to realizing IoV.