• Journal of the Korea Society of Computer and Information
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• v.28 no.2
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• pp.55-62
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• 2023

Radio waves must pass through the unstable atmosphere for successful wireless data transmission from space to ground stations. Data link algorithms required by the International Space Data Systems Advisory Committee (CCSDS) must be capable of detecting and resynchronizing cryptographic and receiver-side errors. However, error recovery is not part of the CCSDS requirements. This paper proposes an algorithm that enables robustness and error recovery against various noises. We experimented with environments such as Gaussian, Salt, Pepper, and S&P noise through noise reduction filters, filters that improve sharpness, and EDSR. In addition, we compare similar algorithms SES Alarmed and DSES Alarmed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.49-54
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• 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.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.242-244
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• 2011

최근 넓은 창고에서 물품들을 좀 더 효율적으로 관리하기 위해 RFID(Radio Frequency Identification)를 이용한 창고관리시스템(Warehouse Management System)에 대한 연구가 활발히 진행되고 있다. 창고관리시스템에서 중요한 요소 중 하나는 물품의 정확한 위치파악이다. 특히 냉동 창고에서는 물품 보관을 하는 coldroom의 안팎 온도차이로 인한 물품의 적재위치 오류는 물품의 변질을 가져오게 하므로 실시간 정확한 위치를 파악하는 것이 중요한 요소가 된다. 기존의 연구방법들에서는 coldroom 입구에 RFID리더기를 설치하여 물품이 인식될 때 단지 그곳에 적재되는 것으로 인식하였다. 그러나 이러한 방법으로는 물품이 coldroom으로 들어가다 다시 돌아 나오는 경우, 반대로 물품이 밖으로 나가다 다시 들어오는 경우 등과 같은 상황에서는 물품의 위치가 잘못된 정보를 가지게 된다. 본 논문에서는 냉동 창고관리시스템에서 2대의 RFID리더기가 설치된 지게차를 이용하여 물품의 적재위치 정확성을 높이기 위한 방법을 제안한다. 지게차에 설치된 2개의 RFID리더기는 각각 천장에 부착된 태그로부터 위치데이터와 지게차에 적재된 물품데이터를 획득한다. 2개의 리더기로부터 수집된 데이터를 분석하여 물품의 입/출고 상황정보와 물품의 이동경로정보를 실시간으로 모니터링 할수 있다. 이를 통해 실시간 냉동 창고 적재위치 오류를 감지해 냄으로써 냉동 창고관리시스템의 물품보관에 대한 효율성을 높일 수 있게 된다.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.47 no.8
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• pp.42-46
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• 2010

Energy detection based spectrum sensing compares the energy of a received signal from a primary user with a detection threshold and decides whether it is active or not in the frequency band of interest. Here the detection threshold depends on not only a target false alarm probability but also the level of the noise energy in the band. So, if the noise energy changes, the detection threshold must be adjusted accordingly to maintain the given false alarm probability. Most previous works on energy detection for spectrum sensing are based on the assumption that noise energy is known a priori. In this paper, we present a new energy detection scheme updating its detection threshold under the assumption that the noise is white, and analyze its detection performance. Analytic results show that the proposed scheme can maintain a target false alarm rate without regard to the noise energy level and its spectrum sensing performance gets better as the time bandwidth product of the signal used to estimate the noise energy increases.

• The KIPS Transactions:PartA
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• v.17A no.2
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• pp.81-92
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• 2010

There has been some research in the equipment defect detection based on vibration information. Most research of them is based on vibration monitoring to determine the equipment defect or not. In this paper, we introduce more accurate system for engine defect detection based on vibration information and we focus on detection of engine defect for boat and system control. First, it uses the duplicated-checking method for vibration information to determine the engine defect or not. If there is a defect happened, we use the method using error part of vibration information basis with error range to determine which kind of error is happened. On the other hand, we use the engine trend analysis and standard of safety engine to implement the vibration information database. Our simulation results show that the probability of engine defect determination is 100% and the probability of engine defect classification and detection is 96%.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.1
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• pp.51-58
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• 2016

As semiconductor technology has developed, device performance has been improved. However, since device structures became smaller, circuit aging due to operational and environmental conditions can be accelerated. Circuit aging causes a performance degradation and eventually a system error. In reliable systems, a failure due to aging might cause a great disaster. Therefore, these systems need a performance degradation prediction function so that they can take action in advance before a failure occurs. This paper presents an on-line circuit performance degradation monitoring scheme for predicting a failure by detecting performance degradation during circuit normal operation. In our proposed scheme, IEEE 1149.1 output boundary scan cells and TAP controller are reused. The experimental result shows that the proposed architecture can monitor the performance degradation during normal operation without stopping the circuit.

• Proceedings of the KIEE Conference
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• 1999.07c
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• pp.1413-1415
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• 1999

배전선로상에서는 상 불평, 고저항 지락사고나 선로탈락이 발생할 수 있다. 또한, 고장 감지기 정보의 불확실성 등으로 배전 SCADA 정보로부터 정확한 사고유형과 사고위치를 확인하는 작업은 매우 어렵다. 따라서 본 연구에서는 배전선로상에서 발생할 수 있는 다양한 사고들에 대해 사고유형과 사고발생 위치를 신속하고 정확하게 추론할 수 있는 전문가 시스템을 제안한다. 전문가 시스템은 배전 SCADA기능과 수집된 데이터를 종합적으로 활용하게 되는데, 특히, 정확한 사고유형 확인을 위해 절분점 감시 메카니즘이 새롭게 채택되며, 또한, 선로사고시 시스템 운영자들의 오류로부터 발생할 수 있는 파급효과를 최소화하기 위해 고장구간의 자동진단 전략이 개발된다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.101-102
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• 2019

산업용 IoT (IIoT)는 최근들어 제조 시스템의 중요한 구성 요소로 간주된다. IIoT를 통해 시설에서 감지된 데이터를 수집하여 작동 조건을 적절하게 분석하고 처리한다. 여기서 비정상적인 데이터는 전체 시스템의 안전성 및 생산성을 위해 신속하게 탐지되어야한다. 기존 임계 값 기반 방법은 임계 값 미만의 유휴 오류 또는 비정상적인 동작을 감지 할 수 없으므로 IIoT에 적합하지 않다. 본 논문에서는 예측 구간과 우선 순위기반 스케줄링을 이용한 분할 선형 회귀 분석을 기반으로 비정상적인 데이터를 검출하는 새로운 방법을 제안한다. 시뮬레이션 결과 제안한 기법은 비정상적인 데이터 검출 속도에서 임계치, 일반 선형 회귀 또는 FCFS 정책을 사용하는 기존의 기법보다 우수함을 알 수 있었다.

• Journal of the Korea Society of Computer and Information
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• v.17 no.9
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• pp.127-138
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• 2012

In this paper, we present a tool (named VMBootFailMonitor) to detect and analyze a failure of a VM boot creation caused by faults on virtual disks of a Xen-based VM. Also, we presents an architecture and detail analysis process of the virtual disk faults in our tool. Especially, VMBootFailMonitor provides a causual analysis result for a case of VM creation failure based on three modules which performs virtual disk analysis, virtualized system analysis and system log analysis. We also support a comparison result between boot times of normal VMs and fault detection times of VM creation based on abnormal virtual disks. At result, our tool detects VM boot failures (3~6 seconds) within normal VM boot times (8~16 seconds).

• Convergence Security Journal
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• v.2 no.2
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• pp.99-108
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• 2002

In this paper, I propose a reference image updating algorithm for Intruder Detection System using a difference image method that can reliably separate moving objects from noisy background in the image sequence received from a camera at the fixed position. The proposed algorithm consists of four process determines threshold value and quantization, segmentation of a moving object area, generation of adaptive temporary image that removes a moving object area, and updates reference image using median filtering. The test results show that the proposed algorithm can generate reference image very effectively in the noisy environment.