• Title/Summary/Keyword: 자동 진단 시스템

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Development of AI-based pet care robot system (AI기반 반려동물 돌봄 로봇 시스템 개발)

  • Min-Sung Kim;Jeong-Hwan Choi;Hyeon-Jae Yu;Byoung-Mo Koo;Jeong-Hwan Kwak;Hyung-Hoon Kim;Hyeon-Min Shim
    • Annual Conference of KIPS
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    • 2023.11a
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    • pp.149-150
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    • 2023
  • 반려동물이 혼자 있는 시간이 많아지면 분리불안, 우울증, 이식증 등 질병이 생기기 때문에 이것을 방지하기 위해 보호자가 외부에 있어도 혼자 있는 반려동물을 돌보기 위한 앱이다. 플러터로 다중플랫폼 앱을 개발하였고 기능에는 원격 조작, 건강 상태 진단, 자동 급식, 청소, 놀이, 실시간 모니터링 기능이 포함되어 있다. 아두이노와 통신을 위한 flutter Blue 패키지를 사용하였다. 반려동물 돌봄 로봇은 아두이노와 블루투스 모듈을 활용하여 스마트폰 앱에서 조작 가능한 Caterpillar 모바일 로봇을 활용하였다. 이 연구의 목적은 반려동물과 보호자에게 편의성 제공을 목표로 한다.

Online Course Evaluation Method by Using Automatic Classification Technology (자동 분류 기술을 활용한 온라인 강의 평가 방법)

  • Lee, Yong-Bae
    • Journal of The Korean Association of Information Education
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    • v.24 no.4
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    • pp.291-300
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    • 2020
  • Although the need for international online courses and the number of online learners has been rapidly increasing, the online class evaluation has been mostly relying on the quantitative survey analysis. So a more objective evaluation method has to be developed to more accurately assess online course satisfaction. This study highlights the benefits of using big data analysis from the bulletin board messages of online learning system as a method to evaluate the online courses. In fact, automatic classification technology is recognized as an important technology among big data analysis techniques. Our team applied this technique to evaluate the online courses. From the delphi analysis results, suggested method was concluded that the evaluation items and classification results are suitable for online course evaluation and applicable in schools or institutions. This study has confirmed that the rapidly accumulating big data analysis technology can be successfully applied to the education sector with the least change. It also diagnosed a meaningful possibility to expand the big data analysis for further application.

A Study on the Interface between DAS and SCADA by using Direct Method (직접연계방법에 의한 DAS-SCADA 연계 연구)

  • Park, So-Young;Shin, Chang-Hoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.9 no.5
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    • pp.1154-1163
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    • 2008
  • DAS and SCADA system are main systems, which operate and manage the power system by using computer and communication technology. But DAS and SCADA have been operated independently in Korea, so there was some time delay in the fault handling and live-line work. To improve that problems, studies on the interface between DAS and SCADA have been needed. From November 2005 to December 2007, the pilot project has been performed in KEPCO's branch offices, as a result, direct method will be applied widely all over the country until 2010 because the operation information of substation users want can be transmitted fast and it is possible to control 43RC directly although the expense for direct method is about 1.3 times larger than that for web method. To improve problems revealed during the pilot project, substation object to object communication method is proposed and interface database automatic generation and interface system diagnosis and logging functions are developed. Interface data point and communication data type are defined, substation single line diagram automatic generation or manual editing function, SCADA monitoring and controlling function, log data managing function are developed in SCADA HMI program. It is expecting to reduce the average time for each outage about 33% and to improve the reliability, efficiency of operation, execution of DAS from automatic load transfer under a fault, and to contribute to export project.

Knowledge-Based Loading/Discharging Monitoring System for a Crude Oil lanker (지식기반 유조선 안전 적ㆍ양하 모니터링 시스템)

  • Lee Kyung Ho;Park Jin Hyung;Lee Hee Yong;Seo Sang Hyun;Kwon Byung Kon
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.4 no.4
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    • pp.61-69
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    • 2001
  • Recently, according to the rapid development of computer and electronic technology, most crude oil carriers adopt automated cargo handling system. But an excessive automation makes system so complicate that it could increase the Possibility of accidents due to human error. Although a cargo handling process is done by an expert, the potential of accidents by human factor lies through the whole cargo handling procedure and the current automated system lacks of the functionality to prevent a mis-operation and diagnose the abnormal status of the system. Because the oil concerned accident could be almost a disaster, the primary goal of system development should not be a fully automated system but be a perfectly safe system. This paper deals with the analysis and design of an expert system which can provide mariner with the operational guidance and the facility of crisis management by monitoring system's abnormal condition and human's mis-operation.

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Design and Implementation of A Operation and Management Supporting System for Power Telecommunication Network Using Knowledge Database (지식 데이터베이스를 이용한 전력통신망 운용 관리 지원시스템 설계 및 구현)

  • Oh, Do-Eun;Park, Myoung-Hye;Sung, Gi-Hyeok;Lee, Jin-Kee;Cho, Sun-Ku
    • Proceedings of the KIEE Conference
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    • 2002.07d
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    • pp.2794-2796
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    • 2002
  • 기업 네트워크에서 안전하고 효과적이며 안정된 망 운영관리 환경 제공은 당면한 중요과제이며 기업 경쟁력의 핵심인 정보기술을 통한 생산성과도 연계성을 갖고 있다. 특히 전력통신망의 경우 전자메일, 회계관리, 전자결재, 도면자료관리 등의 데이터 통신망에서부터 IBM 온라인, 사내 방송망, 전력계통설비 원방 제어용 시스템들 간을 연결하는 EMS, SCADA 등 전력 수급용 전용 통신망에 이르기까지 다양한 종류의 통신망이 구축 운용되고 있다. 이러한 기업환경에 따라 네트워크를 효율적으로 관리하기 위한 네트워크 관리 시스템에 대한 관심이 증대되고 있으며 많은 네트워크 관리 시스템들이 도입되어 운영되었으나 이들 관리 시스템들은 모니터링에 의한 통계값 제공과 같은 단순 평면적인 관리 기능만을 제공한 뿐 네트워크의 특성과 환경에 따른 분석, 진단 기능은 제공하지 못하고 있다. 이와 더불어 네트워크 관리자는 보다 손쉬운 방법으로 네트워크를 관리하고자 하며, 보다 지능적이고 효율적으로 관리하고자 한다. 하지만 관리 시스템이 모든 네트워크에 대해 효율적이고 지능적인 관리 기능을 제공하기는 매우 어려우며 이는 장기간의 관리 네트워크의 특성과 트래픽 형태를 파악한 후에나 가능하다. 결국 지능적이고 효율적인 네트워크 관리는 네트워크의 특성과 함께 이전에 관리자에 의해서 내려졌던 관리 행위 및 의견 그리고 조치에 대한 이력정보를 학습하고 있을 때만 가능하다. 본 논문은 전력통신망을 대상으로 전력통신망이 지닌 네트워크 특성을 반영하며 네트워크 운영 과정에서 축적된 관리자의 의견과 이에 대한 조치를 지식 데이터베이스화하여 지능적인 관리 시스템을 제공하기 위한 기반 시스템으로써 전력통신망 운용 관리 지원시스템을 설계 및 구현하였다. 본 시스템은 향후 지식 정보를 학습하고 이를 바탕으로 논리적인 추론을 통해 관리 네트워크를 지능적이고 자동적으로 관리할 수 있는 시스템으로 확대 개발될 것이다.

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Design And Implementation Of Web-based Counselling System For Learning By Problem Based Learning(PBL) Of Constructivism (구성주의적 문제중심학습(PBL)에 따른 웹기반 학습상담 시스템의 설계 및 구현)

  • Kwon, Hyung-Kyu
    • Journal of The Korean Association of Information Education
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    • v.6 no.2
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    • pp.212-224
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    • 2002
  • The purpose of this study is to design and implement the web-based counselling system in aspects of learning type and method by PBL in Constructivism. Learning problem is classified into learning difficulty, learning disability, emotional disability, memory/cognition, ADHD(attention deficit hyperactivity disorder), classwork, and school circumstance. Counselling for individual, offline visit, parents, electronic mail, and group with professionals who were involved in the design and implementation of learning counselling were used to supplement the clinic process for learning. The result of this study aims to administer the distance counselling system for learning without prominent computer knowledge. Each learner can solve diverse private learning problems which can be widely applied for situated learning. Also these online strategies by PBL indicate that providing learning types and methods are critical for overall understanding in online counselling system for learning.

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Development of a Semi-Automated Detection Method and a Classification System for Bone Metastatic Lesions in Vertebral Body on 3D Chest CT (3차원 흉부 CT에서 추체 골 전이 병변에 대한 반자동 검출 기법 및 분류 시스템 개발)

  • Kim, Young Jae;Lee, Seung Hyun;Choi, Ja Young;Sun, Hye Young;Kim, Kwang Gi
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38C no.10
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    • pp.887-895
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    • 2013
  • Metastatic bone cancer, the cancer which occurred in the various organs and progressively spread to bone, is one of the complications in cancer patients. This cancer is divided into the osteoblast and osteolytic metastasis. Although Computer Tomography(CT) could be an useful tool in diagnosis of bone metastasis, lesions are often missed by the visual inspection and it makes clinicians difficult to detect metastasis earlier. Therefore, in this study, we construct a three-dimensional(3D) volume rendering data from tomography images of the chest CT, and apply a 3D based image processing algorithm to them for detection bone metastasis lesions. Then we perform a three-dimensional visualization of the detected lesions.From our test using 10 clinical cases, we confirmed 94.1% of average sensitivity for osteoblast, and 90.0% of average sensitivity, respectively. Consequently, our findings showed a promising possibility and potential usefulness in diagnosis of metastastic bone cancer.

A Study on Automotive Diagnostic System using CAN, CAN FD, FlexRay (CAN, CAN FD, FlexRay를 이용한 자동차용 진단시스템에 관한 연구)

  • Son, Chang-Koan;Oh, Se-Chun;Kim, Eui-Ryong;Kim, Sin-Ryeong;Kim, Young-Gon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.6
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    • pp.311-318
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    • 2016
  • Recent vehicles are using car internal network for various purposes such as vehicle control, diagnostic functions, and ECU program upgrade. Currently CAN and FlexRay are the most representative networks. In the next-generation network, the use of CAN FD and car ethernet is actively studied. In this paper, we aimed to compare and evaluate the diagnostic function and the program of the ECU from the upgrade view on characteristics related to download time for each network when CAN, CAN FD, and FlexRay network are applied. As a result of the simulation, it was possible to determine that the CAN FD network is currently the most suitable for the next-generation network by suppressing other networks in terms of cost performance even under conditions of 500 Kbps and 2 Mbps which are practically usable speeds.

Noise Evaluation Algorithm for Applying Complex Denoising Technique in On-line Partial Discharge Diagnosis System for Power Apparatus (전력기기의 운전중 부분방전 진단장치에서 복합잡음제거 적용을 위한 잡음평가 알고리즘)

  • Yi, Sang-Hwa;Youn, Young-Woo;Choo, Young-Bae;Kang, Dong-Sik
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.23 no.2
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    • pp.70-76
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    • 2009
  • This paper introduces an evaluation code, which can numerically express the noise possessing degree of signals. By using this code, the best kind and setting of noise suppressing techniques can be chosen automatically. This code is applied to three kinds of specific denoising techniques; those are simple noise removing method in the count versus phase distribution, fuzzy logic method based on noise type in magnitude versus phase plot, and lastly, the technique using grouping characteristics of PD pulses in 3D plot of magnitude versus phase versus cycle. The algorithm shows good performance in the various real PD signals measured from various high voltage apparatuses in Korea.

Strawberry disease diagnosis service using EfficientNet (EfficientNet 활용한 딸기 병해 진단 서비스)

  • Lee, Chang Jun;Kim, Jin Seong;Park, Jun;Kim, Jun Yeong;Park, Sung Wook;Jung, Se Hoon;Sim, Chun Bo
    • Smart Media Journal
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    • v.11 no.5
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    • pp.26-37
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    • 2022
  • In this paper, images are automatically acquired to control the initial disease of strawberries among facility cultivation crops, and disease analysis is performed using the EfficientNet model to inform farmers of disease status, and disease diagnosis service is proposed by experts. It is possible to obtain an image of the strawberry growth stage and quickly receive expert feedback after transmitting the disease diagnosis analysis results to farmers applications using the learned EfficientNet model. As a data set, farmers who are actually operating facility cultivation were recruited and images were acquired using the system, and the problem of lack of data was solved by using the draft image taken with a cell phone. Experimental results show that the accuracy of EfficientNet B0 to B7 is similar, so we adopt B0 with the fastest inference speed. For performance improvement, Fine-tuning was performed using a pre-trained model with ImageNet, and rapid performance improvement was confirmed from 100 Epoch. The proposed service is expected to increase production by quickly detecting initial diseases.