• Title/Summary/Keyword: 모니터링과 입증

Search Result 182, Processing Time 0.025 seconds

Design and Implementation of Data Protocol for Environmental Information Monitoring in Wired and Wireless Networks (유무선 통신망에서 운용 가능한 환경정보 모니터링 데이터 프로토콜 설계 및 구현)

  • Ye, Seoung-Bin;Ceong, Hee-Taek;Han, Soon-Hee
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.14 no.2
    • /
    • pp.312-320
    • /
    • 2010
  • Most online monitoring systems of running currently based on the wired network and local area wireless network generate an increase of administrative costs such as synchronization of data protocol conversion, flexible operation of measurement devices and maintenance. To solve this problem, this paper proposes the SMS data transmission protocol which allows multiple data collecting device to manage effectively including implementation method of cdma-based environmental information monitoring system. Also this paper shows operational safety of the proposed protocol and analyzes efficiency of data transfer and operating using SMS.

A Study on HMM-Based Segmentation Method for Traffic Monitoring (HMM 분할에 기반한 교통모니터링에 관한 연구)

  • Hwang, Suen-Ki;Kang, Yong-Seok;Kim, Tae-Woo;Kim, Hyun-Yul;Park, Young-Cheol;Bae, Cheol-Soo
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
    • /
    • v.5 no.1
    • /
    • pp.1-6
    • /
    • 2012
  • In this paper, we propose a HMM(Hidden Markov Model)-based segmentation method to model shadows as well as foreground and background regions. The shadow of moving objects often keeps from visual tracking. We propose an HMM-based segmentation method which classifies each object in real time. In the case of traffic monitoring movies, the effectiveness of the proposed method was proved by experiments.

An HMM-Based Segmentation Method for Traffic Monitoring (HMM 분할에 기반한 교통모니터링)

  • 남기환;배철수;정주병;나상동
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2004.05b
    • /
    • pp.587-590
    • /
    • 2004
  • In this paper proposed a HMM(Hidden Martov Model)-based segmentation method which is able to model shadows as well as foreground and background regions. Shadow of moving objects often obstruct visual tracking. We propose an HMM-based segmentation method which classifies in real time oath objects. In the case of traffic monitoring movies, the effectiveness of the proposed method has been proven through experimental results

  • PDF

Real Time Alarm System of Enormous Structure Using RTK GPS (RTK GPS를 이용한 대형구조물의 실시간 경보 시스템)

  • 박운용;송연경;이현우
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
    • /
    • v.22 no.1
    • /
    • pp.11-19
    • /
    • 2004
  • Such social structures as bridges,, buildings, dams and towers have been transformed by their own load or fundamental ground. They have been behaved by other external causes. These regular or irregular behaviors threaten to do their users safety. Therefore, to monitor the load of the structures or reaction shown by them could help to verify their behaviors. RTK GPS allows the use of a static base station and remote rover unit to allow f3r data collection within several seconds and in real time. It is useful for monitoring the behaviors of massive structures like bridges. In this Study, Among GPS methods, we used RTK GPS to analyze the precision of monitoring and then on the basis of it, we developed a monitoring system using RTK GPS when measured the behavior of main tower of a suspension bridge by using RTK GPS. Comparing a deviation between observation values, X axis was Imm, Y axis was 1mm and Z axis 2.2mm. It turned out that it was possible to monitor and measure structures by RTK GPS.

An analysis on effectiveness of circular culvert fishway (원형암거 어도의 효과 분석)

  • Kim, Ki Heung
    • Journal of Korea Water Resources Association
    • /
    • v.54 no.1
    • /
    • pp.15-25
    • /
    • 2021
  • The purpose of this study was to present the necessity and effect of culvert fishway, based on the absence of design criteria for it which fishes can pass. As an attempt for this purpose, circular culvert fishway were designed hydraulically to meet the passage condition for selected target fish species, and post-monitoring was performed to confirm its effectiveness. In the case of general circular culvert without weir baffles, the target fish species cannot pass because of the constant depth and velocity in the entire reach of the circular culvert, so it was confirmed that resting pools must be installed to help fish passage. In the case of circular culvert with weir baffles, the depth and the mean velocity in resting pool increased by about 240% and decreased by about 70% respectively, which not only satisfied the passage conditions of Zacco platypus that can swim at more than 10 times the speed of body length for 1 to 5 seconds, but also confirmed that various river fish could pass. Post-monitoring results of the restoration reach and fish capture monitoring surveys of circular culvert fishway demonstrated that the target fish species, Zacco platypus, can pass through it.

LSTM-based Business Process Remaining Time Prediction Model Featured in Activity-centric Normalization Techniques (액티비티별 특징 정규화를 적용한 LSTM 기반 비즈니스 프로세스 잔여시간 예측 모델)

  • Ham, Seong-Hun;Ahn, Hyun;Kim, Kwanghoon Pio
    • Journal of Internet Computing and Services
    • /
    • v.21 no.3
    • /
    • pp.83-92
    • /
    • 2020
  • Recently, many companies and organizations are interested in predictive process monitoring for the efficient operation of business process models. Traditional process monitoring focused on the elapsed execution state of a particular process instance. On the other hand, predictive process monitoring focuses on predicting the future execution status of a particular process instance. In this paper, we implement the function of the business process remaining time prediction, which is one of the predictive process monitoring functions. In order to effectively model the remaining time, normalization by activity is proposed and applied to the predictive model by taking into account the difference in the distribution of time feature values according to the properties of each activity. In order to demonstrate the superiority of the predictive performance of the proposed model in this paper, it is compared with previous studies through event log data of actual companies provided by 4TU.Centre for Research Data.

Aircraft Load Monitoring System Development & Application to Ground Tests Using Optical Fiber Sensors (광섬유 센서를 사용한 항공기용 하중 모니터링 시스템 개발과 지상시험 적용)

  • Park, Chan Yik;Ha, Jae Seok;Kim, Sang Yong
    • Journal of the Korean Society for Aeronautical & Space Sciences
    • /
    • v.45 no.8
    • /
    • pp.639-646
    • /
    • 2017
  • In this paper, a new load monitoring system for military aircraft is introduced. This system consists of sensors, an onboard device and an ground analysis equipment. The sensors and onboard device are mounted on the aircraft and the ground analysis equipment is operated on the ground. Through this system, structural static load can be estimated with flight parameters and structural responses can be measured by sensors due to static load, dynamic load and unexpected events. Especially, optical fiber sensors with mutiplexing capability are utilized. The onboard device was specially designed for complying the requirements of relevant military specifications and was verified through a series of the environment tests. This system was used and evaluated through ground structural tests before flight tests. In the near future, this system will be applied to military aircraft as a structural load monitoring system after flight test evaluation.

Classification Model of Types of Crime based on Random-Forest Algorithms and Monitoring Interface Design Factors for Real-time Crime Prediction (실시간 범죄 예측을 위한 랜덤포레스트 알고리즘 기반의 범죄 유형 분류모델 및 모니터링 인터페이스 디자인 요소 제안)

  • Park, Joonyoung;Chae, Myungsu;Jung, Sungkwan
    • KIISE Transactions on Computing Practices
    • /
    • v.22 no.9
    • /
    • pp.455-460
    • /
    • 2016
  • Recently, with more severe types felonies such as robbery and sexual violence, the importance of crime prediction and prevention is emphasized. For accurate and prompt crime prediction and prevention, both a classification model of crime with high accuracy based on past criminal records and well-designed system interface are required. However previous studies on the analysis of crime factors have limitations in terms of accuracy due to the difficulty of data preprocessing. In addition, existing crime monitoring systems merely offer a vast amount of crime analysis results, thereby they fail to provide users with functions for more effective monitoring. In this paper, we propose a classification model for types of crime based on random-forest algorithms and system design factors for real-time crime prediction. From our experiments, we proved that our proposed classification model is superior to others that only use criminal records in terms of accuracy. Through the analysis of existing crime monitoring systems, we also designed and developed a system for real-time crime monitoring.

Design and Implementation of Arduino-based Efficient Home Security Monitoring System (아두이노 기반의 효율적인 홈 시큐리티 모니터링 시스템 설계 및 구현)

  • Lee, Hyoung-Ro;Lin, Chi-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.16 no.2
    • /
    • pp.49-54
    • /
    • 2016
  • In this paper, we propose an Arduino-based effective home security monitoring system. Proposed home security monitoring system consists of arduino which is inexpensive main processor, ultrasonic sensor and human body detection sensor to detect whether someone breaks into home. Data from ultrasonic sensor and human body detection sensor are transmitted to web server via ethernet shield connected to arduino. Web server checks whether someone breaks into home by using stored data from ultrasonic sensor and human body detection sensor. Snapshot is photographed via webcam connected by using JQuery. Photographed snapshot is stored in web server as image file. A user can monitor in web or smart device environment by using HTML5, CSS and Canvas. When examining efficiency of proposed home security monitoring system, it was found that proposed system is easier to be made than existing home security system and is cost effective by using arduino and is efficient and convenient and stable as it enables a user to handle an error in person and it uses reliable data.

Automated classification of clay suspension using ultrasonic backscattered signal with convolution neural network (초음파 후방산란 신호와 합성곱 신경망을 이용한 점토 현탁액 자동 분류 시스템)

  • Yeongho Sung;Incheol Joo;Jang Keon Kim;Jongmuk Won;Hae Gyun Lim
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2023.11a
    • /
    • pp.665-666
    • /
    • 2023
  • 미세 물질을 포함하고 있는 광산 폐기물의 디워터링 과정(dewatering process)은 작은 입자들의 침전속도가 낮기 때문에 시간이 오래 걸리고 어려운 과정이다. 따라서 광산 폐기물이 안정적으로 침전되었는지 확인하기 위해서 디워터링 과정을 연속적으로 모니터링하는 기술이 필요하다. 이 연구에서는 kaolinite, illite, bentonite 3 종류의 점토를 3 가지 농도(0.1g/L, 1g/L, 5g/L)로 나눠서 초음파 음향 감지를 이용해 후방산란 신호를 측정했다. 그리고 측정된 신호를 활용하여 합성곱 신경망(CNN) 모델을 개발하여 점토의 분류 모델을 만드는 연구를 수행했다. 본 연구에서 보여준 CNN 의 높은 정확도는 광산 폐기물의 디워터링 과정에서 미세 광물과 미세 농도 분류 모니터링에 적합한 저렴하고 측정하기 쉬운 음향 감지의 사용 가능성을 입증했다.