• 정보화연구
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• 제9권4호
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• pp.391-400
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• 2012

본 연구는 전구 탄도미사일 방어(TBMD)를 위한 협동교전의 기능아키텍처 도출에 관한 논문이다. TBMD는 다층으로 구성되며 네트워크 기반의 센서체계, 슈터체계, 그리고 전장관리체계로 구성되는 복합시스템이다. 협동교전능력은 대표적인 실시간 전장관리체계이며, 협동교전능력의 핵심기능은 협동교전이다. 협동교전은 두 개 이상의 분산된 자산의 통합을 통해 얻어진 시너지 효과로 위협을 제거하는 전투개념이다. 이러한 관점에서 본 논문은 개념 분석을 통해 TBMD의 협동교전 기능아키텍처를 제시하였으며, 이는 협동교전 기반의 TBMD 전투체계를 개발하기 위한 선행연구로서 수행되었다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2011년도 추계학술대회
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• pp.231-234
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• 2011

최근 세계적으로 RFID tag에 외부환경 정보를 습득 할 수 있는 Smart RFID tag 기술에 대한 관심도가 증가하고 있다. 본 논문에서는 온도센서를 이용한 Smart RFID tag를 제안한다. Smart RFID tag는 13.56Mhz의 안테나, 온도센서, 데이터를 처리하는 컨트롤러로 구성되어져 있으며, 안테나 설계 및 PCB 제작으로 소형화함으로서 농 식품 포장에 적용될 수 있도록 제작하였다. Smart RFID tag는 농 수산식품 포장지에 부착 되어 유통되며 소비자에게 판매되는 과정에서 생긴 온도변화를 체크하게 된다. 실시간으로 온도변화를 체크하기 때문에 식품의 신선도 및 운반상태를 확인할 수 있다. 응용사례로써 Smart RFID tag를 활용한 smart 냉장고 시스템을 제안하였다.

• 센서학회지
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• 제5권5호
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• pp.1-10
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• 1996

EFG Si 태양전지를 전류-전압, 표면광전압, 전자빔유도_전류, 전자미세프로브, 전자역산란의 여러 가지 기술을 이용하여 분석하였다. 전류-전압 그래프를 여러 온도에서 측정한 결과 EFG-Si 태양전지는 전압에 따라 변하는 shunt 저항을 가진 것이 밝혀졌다. 이러한 shunt 저항은 precipitate와 grain boundary에 의해 생긴 것으로 공간전하영역 내의 불순물 에너지 준위로 tunneling에 의해 이동한 캐리어의 재결합으로 일어난 결과이다. 전류-전압 과 표면광전압 기술을 결합하면 태양전지의 pn접합과 기판 (substrate)을 동시에 분석할 수 있다. Diode ideality factor와 표면 광전압은 Pn접합의 특성을, 소수캐리어 확산거리는 substrate특성을 표시한다. EFG 태양 전지를 분석한 결과, 전압에 따라 변하는 shunt 저항은 효율에 따라 정도 차이는 있지만 모든 시편에서 발견되며, 태양전지의 성능을 저하시키는 중요한 원인 중의 하나가 된다.

• 한국수산과학회지
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• 제37권4호
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• pp.337-344
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• 2004

A real-time surveillance system of the inshore fishing ground was constructed to identify and detect discrete targets, such as illegal fishing vessels. This paper describes measurements made with a combination of sensors, such as radar, CCTV camera, and GPS receivers, for monitoring the fishing activity of small vessels within the fishing limit zones of the inshore waters. The CCTV camera system was used to confirm detection and to classify the type of target. The location of legal vessels distributed in coastal waters was acquired from each GPS system of ships connected to commercial satellite communication network. The surveillance system was networked via LAN to one host PC with the use of electronic navigational charts (ENC) and a radar link. Radar Target Extractor (RTX) for radar signal processing can be remotely accessed and controlled on existing PC via the internet, from anywhere, at any time. Results are presented that demonstrate the effectiveness of the newly constructed fisheries monitoring system for conducting continuous surveillance of illegal fishing vessels in the inshore fishing ground. The identification of illegal fishing vessels was achieved by comparing radar positions of illegal fishing vessels exceeding the warning limits in the surveillance area with GPS position reports transmitted from legal fishing vessels, and the illegal fishing vessels were marked with red symbols on the ENC screen of a PC. The methods to track the activities of all vessels intruding or leaving the fishing limit zones also were discussed.

• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제3권11호
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• pp.403-408
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• 2014

Internet of Things(IoT) 시대에 우리 생활 주변의 많은 사물 또는 객체가 인터넷상에서 연관될 수 있다. IoT 시스템의 구축을 위해서는 다양한 네트워크로 연결된 센서 및 계측장치를 갖는 사물을 통해 IoT 환경의 센싱 데이터를 획득하고 수집을 위한 컴포넌트 개발이 필요하다. 이러한 IoT 시스템은 다양한 형태로 분산되며, 추가적으로 이러한 시스템의 효율적인 관리를 위해서는 애플리케이션 간의 자료전달을 위한 요구사항으로 상호운영성을 만족해야 한다. 이 논문에서는 비동기 기반 메시징 시스템을 기반으로 한 IoT 시스템의 참조 아키텍처를 설계한다. 참조 아키텍처는 IoT 시스템을 설계과정에서 사용한다. 여기서는 참조 아키텍처의 적용을 위한 실시간 특성의 데이터 스트림 관리 방법을 논의한다. 그리고 이들 데이터의 생산 및 소비를 위한 파이프-필터 기반 프로토타입을 pub/sub 메시징 시스템인 NaradaBrokering을 활용하여 구성하는 방법을 논의한다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2019년도 학술발표회
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• pp.160-160
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• 2019

Water is a limited source that needs to be properly managed and distributed to the ever-growing population of the world. Rapid urbanization and development have increased the overall water demand of the world drastically. However, there is loss of billions of liters of water every year due to leakages in water distribution systems. Such water loss means significant financial loss for the utilities as well. World bank estimates a loss of $14 billion annually from wasted water. To address these issues and for the development of efficient and reliable leakage management techniques, high efforts have been made by the researchers and engineers. Over the past decade, various techniques and technologies have been developed for leakage management and leak detection. These include ideas such as pressure management in water distribution networks, use of Advanced Metering Infrastructure, use of machine learning algorithms, etc. For leakage detection, techniques such as acoustic technique, and in recent yeats transient test-based techniques have become popular. Smart Water Grid uses two-way real time network monitoring by utilizing sensors and devices in the water distribution system. Hence, valuable real time data of the water distribution network can be collected. Best results and outcomes may be produced by proper utilization of the collected data in unison with advanced detection and management techniques. Long term reduction in Non Revenue Water can be achieved by detecting, localizing and repairing leakages as quickly and as efficiently as possible. However, there are still numerous challenges to be met and future research works to be conducted in this field.

• Smart Structures and Systems
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• 제7권4호
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• pp.303-317
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• 2011

A specially designed tendon, which is proposed by embedding an FBG sensor into the center king cable of a 7-wire strand tendon, was applied to monitor the prestress force and load transfer of ground anchor. A series of tensile tests and a model pullout test were performed to verify the feasibility of the proposed smart tendon as a measuring sensor of tension force and load transfer along the tendon. The smart tendon has proven to be very effective for monitoring prestress force and load transfer by measuring the strain change of the tendon at the free part and the fixed part of ground anchor, respectively. Two 11.5 m long proto-type ground anchors were made simply by replacing a tendon with the proposed smart tendon and prestress forces of each anchor were monitored during the loading-unloading step using both FBG sensor embedded in the smart tendon and the conventional load cell. By comparing the prestress forces measured by the smart tendon and load cell, it was found that the prestress force monitored from the FBG sensor located at the free part is comparable to that measured from the conventional load cell. Furthermore, the load transfer of prestressing force at the tendon-grout interface was clearly measured from the FBGs distributed along the fixed part. From these pullout tests, the proposed smart tendon is not only expected to be an alternative monitoring tool for measuring prestress force from the introducing stage to the long-term period for health monitoring of the ground anchor but also can be used to improve design practice through determining the economic fixed length by practically measuring the load transfer depth.

• Smart Structures and Systems
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• 제6권5_6호
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• pp.579-593
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• 2010

Low-power radio frequency (RF) chip transceiver technology and the associated structural health monitoring platforms have matured recently to enable high-rate, lossless transmission of measurement data across large-scale sensor networks. The intrinsic value of these advanced capabilities is the allowance for high-quality, rapid operational modal analysis of in-service structures using distributed accelerometers to experimentally characterize the dynamic response. From the analysis afforded through these dynamic data sets, structural identification techniques can then be utilized to develop a well calibrated finite element (FE) model of the structure for baseline development, extended analytical structural evaluation, and load response assessment. This paper presents a case study in which operational modal analysis is performed on a three-span prestressed reinforced concrete bridge using a wireless sensor network. The low-power wireless platform deployed supported a high-rate, lossless transmission protocol enabling real-time remote acquisition of the vibration response as recorded by twenty-nine accelerometers at a 256 Sps sampling rate. Several instrumentation layouts were utilized to assess the global multi-span response using a stationary sensor array as well as the spatially refined response of a single span using roving sensors and reference-based techniques. Subsequent structural identification using FE modeling and iterative updating through comparison with the experimental analysis is then documented to demonstrate the inherent value in dynamic response measurement across structural systems using high-rate wireless sensor networks.

• Steel and Composite Structures
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• 제38권3호
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• pp.337-353
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• 2021

Micro-electro-mechanical systems (MEMS) are widely employed in sensors, biomedical devices, optic sectors, and micro-accelerometers. New reinforcement materials such as carbon nanotubes as well as graphene platelets provide stiffer structures with controllable mechanical specifications by changing the graphene platelet features. This paper deals with buckling analyses of functionally graded graphene platelets micro plates with two piezoelectric layers subjected to external applied voltage. Governing equations are based on Kirchhoff plate theory assumptions beside the modified couple stress theory to incorporate the micro scale influences. A uniform temperature change and external electric field are regarded along the micro plate thickness. Moreover, an external in-plane mechanical load is uniformly distributed along the micro plate edges. The Hamilton's principle is employed to extract the governing equations. The material properties of each composite layer reinforced with graphene platelets of the considered micro plate are evaluated by the Halpin-Tsai micromechanical model. The governing equations are solved by the Navier's approach for the case of simply-supported boundary condition. The effects of the external applied voltage, the material length scale parameter, the thickness of the piezoelectric layers, the side, the length and the weight fraction of the graphene platelets as well as the graphene platelets distribution pattern on the critical buckling temperature change and on the critical buckling in-plane load are investigated. The outcomes illustrate the reduction of the thermal buckling strength independent of the graphene platelets distribution pattern while meanwhile the mechanical buckling strength is promoted. Furthermore, a negative voltage, -50 Volt, strengthens the micro plate stability against the thermal buckling occurrence about 9% while a positive voltage, 50 Volt, decreases the critical buckling load about 9% independent of the graphene platelet distribution pattern.

• 한국정보통신학회논문지
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• 제26권10호
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• pp.1453-1461
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• 2022

자율주행차량에서 LiDAR와 같은 3D 데이터 센서를 사용한 주변 물체인식 알고리즘의 정확도는 많은 연구를 통해 상승하고 있으나 그에 따라 높은 성능의 하드웨어와 복잡한 구조를 요구하게 되었다. 이러한 물체인식 알고리즘은 주행 중 많은 프로세서를 수행하고 관리해야 하는 자율주행차량의 메인 프로세서에 큰 부하로 작용한다. 이러한 부하를 감소시킴과 동시에 3D 센서 데이터의 장점을 활용하기 위하여, 3D 센서 데이터에서 물리적 특성을 추출하고 이를 이용하여 생성한 ROI를 이용하여 2D 데이터 기반 인식을 제안한다. 기본 이미지에서 밝기 값을 50% 감소시킨 환경에서 기존 2D 기반 모델 대비 5.3% 높은 정확도와 28.57% 감소한 수행 시간을 보였다. 기본 이미지에서 3D 기반 모델 대비 2.46% 낮은 정확도를 가지는 대신 6.25% 감소한 수행 시간을 가진다.