• 한국음향학회지
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• 제39권4호
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• pp.246-254
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• 2020

본 논문에서는 학습 기반 압축 센싱 기법을 이용한 측면주사 소나 영상의 비균일 잡음 제거 알고리즘을 제안한다. 제안하는 기법은 Iterative Shrinkage and Thresholding Algorithm(ISTA) 알고리즘을 기반으로 하고 있으며 성능 향상을 위해 학습네트워크의 비선형성을 강화시키는 전략을 선택하였다. 제안된 구조는 입력 신호를 비선형 변환과 초기화 하는 부분, Sparse 공간으로 변환 및 역변환하는 ISTA block, 특징 공간에서 픽셀 공간으로 변환하는 부분으로 구성된다. 제안된 기법은 다양한 모의 실험을 통해 잡음 제거 성능 및 메모리 효율성 측면에서 우수함이 입증되었다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2010년도 추계학술대회
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• pp.552-555
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• 2010

본 논문에서는 산업체 공장 환경에서 장비의 상태를 감시하기 위해 무선 다중 센서 모듈을 이용한 상황인지 시스템을 제안한다. 무선 다중 센서 모듈은 가속도, 압력, 온도, 가스의 센서를 이용해 센싱 값을 수집 및 통합하고, 이 센싱 정보를 RS코드를 이용해 부호화 한 후 서버로 전송한다. RS디코더는 서버에 수신된 데이터들을 원래의 데이터로 복원하고, 이때 무선 통신 과정에서 발생한 오류를 복구하게 된다. 복원된 정보를 기반으로 상황인지 알고리즘에서는 임계값을 설정하고, 이후 센서의 센싱 정보들과 임계값을 비교하여 센싱 정보가 임계값의 범위를 벗어나면 이벤트를 생성하고, 대기시간 T초 동안 다른 센서에 장애가 발생하면 상황에 맞는 3단계의 알람을 발생시킨다. 실험결과를 통해 이 시스템이 상태감시에 효과적임을 확인하였다.

• 융합신호처리학회논문지
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• 제19권1호
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• pp.28-34
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• 2018

본 논문은 적외선 온도센서를 이용한 재실인원 측정을 통한 출입자 관리 시스템, 방 내부의 움직임 파악하기 위한 PIR센서 모듈, 그리고 취침 상태를 판별하기 위한 스마트 호흡감지 모듈로 구성된다. 센싱부와 알고리즘 구동 부를 일체화 한 임베디드 형태의 센서 모듈과 통신 시스템으로 구성하였다. 고령화 사회가 가속화, 고급화됨에 따라 실버케어에 대한 사회적 비용이 증가하고 프라이버시를 보호하기 위해선 효율적인 실버케어기기 개발을 통하여 비용 감소가 필요하다. 제안된 비 영상 인체감지 IOT 센서 시스템은 하드웨어와 소프트웨어로 구현하였고 기존의 영상에 의한 감시 방법과 비교하여 우수한 성능을 확인하였다.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2008년도 하계학술대회 논문집 Vol.9
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• pp.63-63
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• 2008

Environmental monitoring sub-system has been developed using gas sensor module, Bluetooth module and PDA phone. The gas sensor module consists of $NO_2or$ CO gas sensor and signal processing chips. Gas sensor is composed of the micro-heater, sensing electrode and sensing material. Metal oxide nano-material was selectively deposited on a substrate with micro-heater and was integrated to the gas sensor module. The change in resistance of the metal oxide nano-material due to exposure of oxidizing or deoxidizing gases is utilized as the principle of this gas sensor operation mechanism. This variation detected in the gas sensor module was transferred to the PDA phone by way of Bluetooth module.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권3호
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• pp.980-998
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• 2023

In Low Earth Orbit (LEO) satellite networks, satellites operate fast and the inter-satellite link change period is short. In order to sense the spectrum state in LEO satellite networks in real-time, a space-based satellite network intelligent spectrum sensing algorithm based on artificial neural network (ANN) is proposed, while Geosynchronous Earth Orbit (GEO) satellites are introduced to make fast and effective judgments on the spectrum state of LEO satellites by using their stronger arithmetic power. Firstly, the visibility constraints between LEO satellites and GEO satellites are analyzed to derive the inter-satellite link building matrix and complete the inter-satellite link situational awareness. Secondly, an ANN-based energy detection (ANN-ED) algorithm is proposed based on the traditional energy detection algorithm and artificial neural network. The ANN module is used to determine the spectrum state and optimize the traditional energy detection algorithm. GEO satellites are used to fuse the information sensed by LEO satellites and then give the spectrum decision, thereby realizing the inter-satellite spectrum state sensing. Finally, the sensing quality is evaluated by the analysis of sensing delay and sensing energy consumption. The simulation results show that our proposed algorithm has lower complexity, the sensing delay and sensing energy consumption compared with the traditional energy detection method.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2007년도 추계학술대회 논문집
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• pp.28-30
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• 2007

For the design of the voltage regulation module(VRM) having a high performance, current sensing is one of the most important functions. In this paper, three different methods for sensing the current in the multi-phase synchronous buck converter are analyzed considering the efficiency, accuracy and cost. The experiments are performed for the three current sensing methods to verify the theoretic analysis.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.132.1-132
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• 2001

In this paper, we have studied for development of unmanned remote supervisory system using mobile communication network, not wire network, not to be affected by space or distance. The unmanned remote supervisory system consists of data processing unit main part and measuring systems (modules part)-temperature measuring module, humidity measuring module and human body sensing module. The data processing unit to collect and process informations of each measuring module has the functions of data communication between a mobile cellular telephone and measuring systems. Each measuring module has supervisory and warning functions for a target of supervision. And then we have designed each system and evaluated accuracy and reliability of the combined total system.

• Journal of Advanced Marine Engineering and Technology
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• 제25권2호
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• pp.338-344
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• 2001

According to the MARPOL 73/78 of Convention, all ships should have oil filtering equipment and 15 ppm bilge which satisfy Requirements of MARPOL 73/78. This study is concerned with designing and manufacturing a prototype Oil content Meter(OCM) used in machinery area of ship. The prototype OCM is composed of two parts which are oil content sensing module and data processing unit. The oil content sensing module consists of infra-red light source, photo-diode light receivers, and a glass tube for bilge water sample. The data processing unit has a micro-processor as hard core and peripheral devices. The experimental results of prototype OCM and analysis of collected data reveal linear property between transmitted light and scattered light as long as the bilge water has low level content of oil. And this linear property leads to a oil content detecting method which is programmed and loaded into the data processing unit. The performance of the prototype OCM is compared with that of the commercial OCM in the market.

• 해양환경안전학회:학술대회논문집
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• 해양환경안전학회 2017년도 추계학술발표회
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• pp.159-159
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• 2017

• 대한원격탐사학회지
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• 제24권5호
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• pp.417-425
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• 2008

An image-based atmospheric correction software ATC is implemented using MATLAB and SML (Spatial Modeler Language in ERDAS IMAGINE), and it was tested using Landsat TM/ETM+ data. This ATC has two main functional modules, which are composed of a semiautomatic type and an automatic type. The semi-automatic functional module includes the Julian day (JD), Earth-Sun distance (ESD), solar zenith angle (SZA) and path radiance (PR), which are programmed as individual small functions. For the automatic functional module, these parameters are computed by using the header file of Landsat TM/ETM+. Three atmospheric correction algorithms are included: The apparent reflectance model (AR), one-percent dark object subtraction technique (DOS), and cosine approximation model (COST). The ACT is efficient as well as easy to use in a system with MATLAB and SML.