• Title/Summary/Keyword: Intelligent Platform

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A Survey of the Self-Adaptive IoT Systems and a Compare and Analyze of IoT Using Self-Adaptive Concept (자가적응형 IoT 시스템 개발 동향과 자가적응형 개념을 활용한 IoT 비교분석)

  • Hwang, Seyoung;Seo, Jangill;Park, Sungjun;Park, Sangwon
    • KIPS Transactions on Computer and Communication Systems
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    • v.5 no.1
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    • pp.17-26
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    • 2016
  • IoT means things space networks that form the intelligent relationship such as sensing, networking, information processing about human being, things and service without explicit mutual cooperation of human being. Lately many IoT groups such as AllSeen Alliance, OIC launched a platform for IoT. Self-adaptive is aimed at implementation without the need for decisions of human being during the operation, so that the machine can respond to changes in its own determination. There is a need to apply the concept of self-adaptive to existing IoT and IoT platform. So In this paper, We look for trends of existing IoT, IoT platform and comparisons by applying a self-adaptive concept to IoT, IoT platform. In addition as an example of this paper, we suggest lacking self-adaptive elements to OIC.

Open Platform for Improvement of e-Health Accessibility (의료정보서비스 접근성 향상을 위한 개방형 플랫폼 구축방안)

  • Lee, Hyun-Jik;Kim, Yoon-Ho
    • Journal of Digital Contents Society
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    • v.18 no.7
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    • pp.1341-1346
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    • 2017
  • In this paper, we designed the open service platform based on integrated type of individual customized service and intelligent information technology with individual's complex attributes and requests. First, the data collection phase is proceed quickly and accurately to repeat extraction, transformation and loading. The generated data from extraction-transformation-loading process module is stored in the distributed data system. The data analysis phase is generated a variety of patterns that used the analysis algorithm in the field. The data processing phase is used distributed parallel processing to improve performance. The data providing should operate independently on device-specific management platform. It provides a type of the Open API.

Research of Semantic Considered Tree Mining Method for an Intelligent Knowledge-Services Platform

  • Paik, Juryon
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.5
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    • pp.27-36
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    • 2020
  • In this paper, we propose a method to derive valuable but hidden infromation from the data which is the core foundation in the 4th Industrial Revolution to pursue knowledge-based service fusion. The hyper-connected societies characterized by IoT inevitably produce big data, and with the data in order to derive optimal services for trouble situations it is first processed by discovering valuable information. A data-centric IoT platform is a platform to collect, store, manage, and integrate the data from variable devices, which is actually a type of middleware platforms. Its purpose is to provide suitable solutions for challenged problems after processing and analyzing the data, that depends on efficient and accurate algorithms performing the work of data analysis. To this end, we propose specially designed structures to store IoT data without losing the semantics and provide algorithms to discover the useful information with several definitions and proofs to show the soundness.

A Study on the Implementation of Ontology Retrieval Service Platform Based on RDF (RDF 기반 온톨로지 검색 서비스 플랫폼 구현에 관한 연구)

  • Shin, Yutak;Jo, Jaechoon
    • Journal of Convergence for Information Technology
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    • v.10 no.1
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    • pp.139-148
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    • 2020
  • As the internet and computer technology are developed, there is a need for service of traditional culture that can effectively search and create culture, history, and tradition-related materials in online contents. In this paper, we developed an RDF-based ontology retrieval service platform and verified usability and validity. This platform is divided into triple search, keyword search, network graph search, story search and management, curation management module. Based on this, the search results can be visualized based on the relationship between data, network graph search and story search can be used to easily understand the relationship between the keywords. An platform evaluation was conducted for verification, and it was evaluated that an intelligent search that can easily identify the relationship between information and shorten the analysis and search time than the existing search function.

Experimental approach for selecting an optimal PID control gain using genetic algorithm for stewart platform (유전 알고리즘을 이용한 스튜어트 플랫폼의 최적 PID 제어 게인 선정을 위한 실험적 접근)

  • Park, Min-Kyu;Hong, Sung-Jin;Lee, Min-Cheol
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.1
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    • pp.73-80
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    • 2000
  • The stewart platform manipulator proposed by stewart is the parallel manipulator which is composed of several independent actuators connecting the upper plate with the base plate and capable of executing a six degree of freedom motion. The manipulator has a structure of a closed loop form, and provides better load-to-weight ratio and ratio and rigidity than a serial manipulator with an open loop form. Moreover, the manipulator has high positional accuracy because position errors of actuators are not additive. Because of these advantages, this manipulator is widely used in many engineering applications such as a driving simulator, a tool of machining center, a force/torque sensor and so on. When this Stewart platform manipulator is controlled in joint space, it is difficult to design a controller using an analytic method due to nonhnearity and unknown parameters of actuators. Therefore, a PID controller is often used because of easiness in applications. To find the PID control gain, a trial-and-error method is generally used. This method is time-consuming, and does not guarantee a optimal gain. Thus, this paper proposes a GA-PID controller which selects an optimal PID control gain using genetic algorithms. And this proposed controller is evaluated experimentally and shows acceptable performance.

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Development of An Intelligent G-Learning Virtual Learning Platform Based on Real Video (실 화상 기반의 지능형 G-러닝 가상 학습 플랫폼 개발)

  • Jae-Yeon Park;Sung-Jun Park
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.2
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    • pp.79-86
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    • 2024
  • In this paper, we propose a virtual learning platform based on various interactions that occur during real class activities, rather than the existing content delivery-oriented learning metaverse platform. In this study, we provide a learning environment that combines AI and a virtual environment to solve problems by talking to real-time AI. Also, we applied G-learning techinques to improve class immersion. The Virtual Edu platform developed through this study provides an effective learning experience combining self-directed learning, simulation of interest through games, and PBL teaching method. And we propose a new educational method that improves student participation learning effectiveness. Experiment, we test performance on learninng activity based on real-time video classroom. As a result, it was found that the class progressing stably.

Designing and Implementing AI Chat-bot System for Small-business Owner (중소상인을 위한 AI 챗봇 플랫폼의 설계 및 구현)

  • Lee, Dae-Kun;Na, Seung-Yoo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.3
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    • pp.561-570
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    • 2018
  • Artificial Intelligence is one of the technologies that are being discussed in the Fourth Industrial Revolution, attracting the attention from companies around the world and this technology is being applied to various industries such as education, finance, automobile, etc. AI integrated ChatBot is a system designed to respond to user questions according to defined response rules. This system is gradually expanded from simple inquiry responses for intelligent virtual assistant service, weather, traffic, schedule, etc. to service provisions through user pattern analysis, to solidify its position as a life-style service. As a result, research on AI integrated ChatBot platform has become necessary. Therefore, this study suggests the design and implementation of an intelligent chatbot service platform for small businesses.

Service Model Research of Bicycle-sharing based on Mobility-as-a-Service (MaaS) (MaaS(Mobility-as-a-Service)기반 공유자전거 서비스 모델연구)

  • Yang, Wang;Lee, Sung-pil
    • Journal of Service Research and Studies
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    • v.9 no.4
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    • pp.19-40
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    • 2019
  • Mobility as a Service is a service conception to achieve the intelligent transportation system. Its aims to improve the travel experience. In one platform, it connects various transportation modes to offer service and users only need to pay in one time for the whole travel. But the single MaaS platform easily faces the problems such as low user traffic, low retention rate and the access to markets of the this service is still unfound. From the perspective of bicycle-sharing, this research makes the MaaS concept into bicycle-sharing to build a better service model. The bicycle-sharing combine with the MaaS concept is innovative in business model, travel model and service architecture. In addition, this research also tests users' expectations for service model. The research shows that MaaS-based bicycle-sharing could offer flexible and convenient travel experience in the aspects of combined transportation, travel, transfer and payment, and it also makes it possible to make travel services according to need, and sustainable transport.

A Study on the Efficient Implementation Method of Cloud-based Smart Farm Control System (효율적인 클라우드 기반 스마트팜 제어 시스템 구현 방법)

  • Choi, Minseok
    • Journal of Digital Convergence
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    • v.18 no.3
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    • pp.171-177
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    • 2020
  • Under the influence of the Fourth Industrial Revolution, there are many tries to promote productivity enhancement and competitiveness by adapting smart farm technology that converges ICT technologies in agriculture. This smart farming technology is emerging as a new paradigm for future growth in agriculture. The development of real-time cultivation environment monitoring and automatic control system is needed to implement smart farm. Furthermore, the development of intelligent system that manages cultivation environment using monitoring data of the growth of crops is required. In this paper, a fast and efficient development method for implementing a cloud-based smart farm management system using a highly compatible and scalable web platform is proposed. It was verified that the proposed method using the web platform is effective and stable system implementation through the operation of the actual implementation system.

SSD Test case generation method for early defect detection (불량 조기 검출을 위한 SSD 테스트 케이스 개발 방법)

  • Son, Myeong-Gyu;Lee, Jee-Hyong
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.6
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    • pp.542-550
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    • 2015
  • Usually, a new SSD (Solide State Drive) product is developed based on the software platform of the previous product. Therefore, when using the same test case was used to evaluate the previous generation evaluation of new products are a number of advantages may be, but a priority or weight is the inefficiency exists in the use of the evaluation resources due to not considered. A new method is proposed to prevent the waste of testing resources. Through the analysis of the evaluation data for the previous products, the combinations of testing cases with the highest probability for defect detections are identified. When the software is to be reused, most part of the base software platform is rarely modified and only some modules are added or modified. So, the whole software system may have similar types of defects with the previous products. By utilizing the evaluation data for the previous proucts, we can detect defects at an early stage.