• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2004년도 ICCAS
• /
• pp.132-137
• /
• 2004

On-Board Diagnostic(OBD) systems are in most cars and light trucks on the load today. During the 1970's and early 1980's manufacturers started using electronic means to control engine functions and diagnose engine problems. The CARB's diagnostic requirements to meet EPA emission standards have been designated as OBD with a goal of monitoring all of the emissions-related components, as well as the chassis, body, accessory devices and the diagnostic control network of the vehicle for proper operation. In this paper, we present a remote measurement system for the wireless monitoring of diagnosis signal and sensors output signals of ECU adopted KWP2000, united the OBD communication protocol, on OBD-compliant vehicle using the wirless communication technique of Bluetooth. In order to measure the ECU signals, the interface circuit is designed to communicate ECU and designed terminal wirelessly according to the ISO, SAE regulation of communication protocol standard. A microprocessor S3C3410X is used for communicating ECU signals. The embedded system's software is programmed to measure the ECU signals using the ARM compiler and ANCI C based on MicroC/OS kernel to communicate between bluetooth modules using bluetooth stack. The diagnostic system is developed using Visual C++ MFC and protocol stack of bluetooth for Windows environment. The self-diagnosis and sensor output signals of ECU is able to monitor using PC with bluetooth board connected in serial port of PC. The algorithms for measuring the ECU sensor output and self-diagnostic signals are verified to monitor ECU state. At the same time, the information to fix the vehicle's problem can be shown on the developed monitoring software. The possibility for remote measurement of self-diagnosis and sensor signals of ECU adopted KWP2000 in embedded system verified through the developed systems and algorithms.

• 대한기계학회논문집A
• /
• 제22권3호
• /
• pp.644-653
• /
• 1998

In resistance spot weld, the assurance of weld quality has been a long-standing problem. Since the weld nuggets if resustance spot welding form between the workpieces, visual detection of defects in usually impossible. Welding quality of resistance spot welding can be verified by non destructive and destructive inspections such as X-Ray inspection and testing of weld strength. But these tests, in addition to being time-consuming and costly, can entail risks due to sampling basis. The purpose of this study is the development of the monitoring system based on fuzzy inference, aimed at diagonosis of quality in resistance spot welding. The fuzzy inference system consists of fuzzy input variables, fuzzy membership functions and fuzzy rules. For inferring the welding quality(strength), the experimental data of the spot welding were acquired in various welding conditions with the monitoring system designed. Some fuzzy input variables-maximum, slop and difference values of electrode movement signals-were extracted from the experimental data. It was confirmed that the fuzzy inference values of strength have a .${\pm}$5% error in comparison with actual values for the selected welding conditions(9-10.5KA, 10-14 cycle, 250-300 $kg_f$). This monitoring system can be useful in improving the quality assurance and reliability of the resistance spot welding process.

• 한국산학기술학회논문지
• /
• 제7권6호
• /
• pp.1122-1128
• /
• 2006

본 연구에서는 가스 체적 데이터를 체크하기 위하여 마이크로콘트롤러 ATmega128를 사용한 무선 데이터로거 시스템을 제작하였다. 본 시스템에서 마스터와 슬레이브 사이에 RF 무선통신을 사용하였고, 서버와 클라이언트간의 통신은 TCP/IP 프로토콜의 네트워크 환경에서 소켓통신으로 동작하도록 하였으며, 모니터링 프로그램은 Visual C++으로 GUI 환경에 적합한 소프트웨어로 제작하였다. 이 시스템은 소형, 저가격으로 쉽게 구현할 수 있으며, 마이크로콘트롤러 실험의 프로젝트 과제로 유용하게 사용될 수 있을 것이다.

• 한국멀티미디어학회논문지
• /
• 제24권2호
• /
• pp.295-304
• /
• 2021

Learning assistance system that continuously measures user's concentration will be helpful to grasp the concentration pattern and adjust the learning method accordingly to improve the learning efficiency. Although a lot of various learning aids have been proposed, there have been few studies on the concentration monitoring system in real time. Therefore, in this study, we developed an Android-based mobile application that can measure concentration during study by using functional near-infrared spectroscopy, which is used to measure brain activity. First, the task accuracy was predicted at a maximum level of 93.75% from the prefrontal oxygenation characteristics measured while performing the visual Q&A task on 11 college students, and a concentration calculation formula based on a linear regression model was derived. Then, a survey on the usability of the mobile application was conducted, overall high satisfaction and positive opinions were obtained. From these findings, this application can be used as a customized learning aid application for users, and further, it can help educators improve the quality of classes based on the level of concentration of learners.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제16권5호
• /
• pp.1708-1734
• /
• 2022

In the development of logistics system, the breakthrough of important technologies such as technology platform for logistics information management and control is the key content of the study. Based on Javascript and JQuery, the logistics system realizes real-time monitoring, collection of historical status data, statistical analysis and display, intelligent recommendation and other functions. In order to strengthen the cooperation of warehouse storage, enhance the utilization rate of resources, and achieve the purpose of real-time and visual supervision of transportation equipment and cargo tracking, this paper studies the VNF dynamic deployment and SFC routing problem in the network load change scenario based on the logistics system. The BIP model is used to model the VNF dynamic deployment and routing problem. The optimization objective is to minimize the total cost overhead generated by each SFCR. Furthermore, the application of the SFC mapping algorithm in the routing topology solving problem is proposed. Based on the concept of relative cost and the idea of topology transformation, the SFC-map algorithm can efficiently complete the dynamic deployment of VNF and the routing calculation of SFC by using multi-layer graph. In the simulation platform based on the logistics system, the proposed algorithm is compared with VNF-DRA algorithm and Provision Traffic algorithm in the network receiving rate, throughput, path end-to-end delay, deployment number, running time and utilization rate. According to the test results, it is verified that the test results of the optimization algorithm in this paper are obviously improved compared with the comparison method, and it has higher practical application and promotion value.

• 정보과학회 컴퓨팅의 실제 논문지
• /
• 제21권12호
• /
• pp.768-773
• /
• 2015

사회적 혼란을 야기하는 이벤트는 발생 직후 어떻게 대응하느냐에 따라 소요되는 비용의 편차가 크다. 이에 따라 비정상적인 이벤트를 탐지하고 의미를 파악하는 연구가 많이 진행되고 있다. 또한 예측 분석에 관한 연구도 많이 수행되고 있다. 그러나 대부분의 연구는 이벤트의 전체적인 미래 경향에 대한 수치 결과를 예측할 뿐, 이벤트가 내포하는 의미에 대한 예측 연구는 미비하다. 이에 따라 본 논문에서는 비정상적인 이벤트가 내포하는 토픽의 조합을 통해 미래에 어떠한 일이 발생할 수 있는지에 대한 시각적 예측 분석 방법을 제안한다. 제안하는 방법은 먼저 트윗에서 실시간으로 비정상 이벤트를 탐지한다. 그 다음 과거 유사한 사례를 탐색한 다음 이벤트와 관련된 토픽들을 추출한다. 마지막으로 사용자는 의미 있는 토픽의 조합을 통해 미래에 어떠한 일이 발생할 수 있을지 분석할 수 있다. 실험은 두 가지 상황에 대한 예측 분석을 수행하였으며, 실험 결과 본 논문에서 제안한 방법의 타당성을 입증하였다.

• 융합보안논문지
• /
• 제8권2호
• /
• pp.41-50
• /
• 2008

최근 멀티미디어 스트리밍 어플리케이션이 보편적으로 사용됨에 따라 네트워크로 유입되는 트래픽의 양이 급속도로 증가하고 있으며, 이와 함께 안정적인 서비스 및 QoS 보장을 위한 다양한 네트워크 관리 시스템들이 제시되고 있다. 이러한 시스템들은 네트워크 장비, 네트워크 상태 정보의 측정 및 분석을 통해 QoS 요구사항의 지속적인 유지 여부를 판단할 수 있는 모니터링 기술을 요구하고 있다. 본 논문에서는 네트워크상의 앤드포인트(endpoint)별 트래픽을 모니터링하고 종단 간의 QoS 등급을 측정하기 위한 시스템을 제안한다. 제시된 시스템은 네트워크 트래픽 정보 수집 및 시각적인 모니터링을 기반으로 하며, 멀티미디어 응용 서비스 보장 여부를 확인할 수 있는 QoS 등급을 측정하기 위해 종단 간의 테스트 패킷 전송을 수행하도록 하였고 이를 통해 Throughput, Delay, Jitter 등의 QoS 파라미터 정보를 시각적, 수치적으로 쉽게 인식할 수 있도록 하였다.

• Structural Engineering and Mechanics
• /
• 제87권3호
• /
• pp.211-219
• /
• 2023

The structural health of a pipeline is usually assessed by visual inspection. In addition to the fact that this method is expensive and time consuming, inspection of the whole structure is not possible due to limited access to some points. Therefore, adopting a damage detection method without the mentioned limitations is important in order to increase the safety of the structure. In recent years, vibration-based methods have been used to detect damage. These methods detect structural defects based on the fact that the dynamic responses of the structure will change due to damage existence. Therefore, the location and extent of damage, before and after the damage, are determined. In this study, fuzzy genetic algorithm has been used to monitor the structural health of the pipeline to create a fuzzy automated system and all kinds of possible failure scenarios that can occur for the structure. For this purpose, the results of an experimental model have been used. Its numerical model is generated in ABAQUS software and the results of the analysis are used in the fuzzy genetic algorithm. Results show that the system is more accurate in detecting high-intensity damages, and the use of higher frequency modes helps to increase accuracy. Moreover, the system considers the damage in symmetric regions with the same degree of membership. To deal with the uncertainties, some error values are added, which are observed to be negligible up to 10% of the error.

• Asian Journal of Atmospheric Environment
• /
• 제5권1호
• /
• pp.8-20
• /
• 2011

Atmospheric visibility is one of the indicators used to evaluate the status of air quality. Based on a conceptual definition of visibility as the maximum distance at which the outline of the selected target can be recognized, an image analysis technique is introduced here and an algorithm is developed for visibility monitoring. Although there are various measurement techniques, ranging from bulk and precise instruments to naked eye observation techniques, each has their own limitations. In this study, a series of image analysis techniques were introduced and examined for in-situ application. An imaging system was built up using a digital camera and was installed on the study sites in Incheon and Seoul separately. Visual range was also monitored by using a dual technology visibility sensor in Incheon and transmissometer in Seoul simultaneously. The Sobel mask filter was applied to detect the edge lines of objects by extracting the high frequency from the digital image. The root mean square (RMS) index of variation among the pixels in the image was substantially correlated with the visual ranges in Incheon and Seoul with correlations of $R^2$=0.88 and $R^2$=0.71, respectively. The regression line equations between the visual range and the RMS index in Incheon and Seoul were VR=$2.36e^{0.46{\times}(RMS)}$ and VR=$3.18e^{0.15{\times}(RMS)}$, respectively. It was also confirmed that the fine particles ($PM_{2.5}$) have more impacts to the impairment of visibility than coarse particles.

• 한국항행학회논문지
• /
• 제12권2호
• /
• pp.91-99
• /
• 2008

본 논문에서는 글로벌스타 위성 모뎀을 이용한 무선 원격제어 및 감시 시스템을 구축하였다. 시스템은 C8051F023 마이크로컨트롤러를 이용한 글로벌스타 위성 시스템 단말장비와 WGIS(Web-based GIS)를 이용한 사용자 프로그램으로 구성된다. 이를 통해서 단말장비와 사용자 프로그램 사이의 무선 원격제어 및 감시를 실험하였다. 사용자는 WGIS 프로그램를 사용한 Main 및 Control 다이얼로그를 통하여 용이하게 단말장비를 제어 및 감시 할 수 있으며 또한 위치정보를 확인 할 수 있었다. 단말장비 및 사용자 프로그램의 데이터 통신을 위해서 글로벌스타 위성 모뎀을 위한 PPP 및 TCP/IP 프로토콜을 구현하여 데이터 통신을 원활하게 수행할 수 있도록 하였다. GIS(Geographic Information System) 도구는 ESRI사의 ArcView와 MapObject로 구성되며 GIS를 통하여 사용자에게 시각적으로 다양한 정보를 제공할 수 있었다.