• 전자통신동향분석
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• 제30권4호
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• pp.1-11
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• 2015

Quantified Self란 개인의 일상활동에서 신체적 정신적 상태를 센싱 및 트래킹하여 이를 수치화함으로써 자신의 상태를 분석하고 삶의 질을 개선하기 위한 방법을 연구하여 실생활에 적용하는 활동을 의미한다. 이는 최근 헬스와 피트니스에 활용 가능한 개인 센서 및 웨어러블 기기의 급속한 보급과 다양한 개인 정보 트래킹 기기의 출현으로 개인의 일상경험을 모니터링하고, 생성되는 정보를 수집, 통합 분석을 통해 새로운 개인화 서비스를 제공하기 위한 기술개발 이슈로 주목받고 있다. Quantified Self 데이터는 초기의 수작업으로 트래킹하여 수집한 소량의 관리 가능한 데이터 세트에서 점차 대용량의 Quantified Self 빅데이터 세트로 크기가 증가하고 있으며, 개인정보의 통합분석을 위한 빅데이터 모델과 자동적인 셀프-트래킹 플랫폼으로서의 웨어러블 컴퓨터 기술과 응용의 기대치를 증가시키고 있다. 본고에서는 Quantified Self 정의와 기술 및 서비스 동향에 대해 살펴보고, 웨어러블 센싱 기반 트래킹 기기의 개발사례와 Quantified Self의 주요이슈와 미래전망에 대해 조망해 본다.

• Composites Research
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• 제35권6호
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• pp.378-393
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• 2022

마찰전기 나노발전기(이하 TENG)의 새로운 발전 기술은 에너지 수집 및 자가 전력 공급 감지 응용 분야의 긍정적 전망으로 인해 점점 더 많은 관심을 받고 있다. 또한 최근 소프트로봇의 부상은 플렉시블과 소프트센서, 액추에이터 개발에 대한 폭넓은 관심을 불러 일으키고 있다. TENG는 액추에이터와 자가 전력 공급 센서를 구동하는 유망한 전원으로 간주되어 소프트웨어 로봇, 소프트 센서 및 액추에이터 개발을 위한 독창적인 방법을 제공한다. 이 리뷰에서는 TENG를 기반으로 다양한 형태와 기능을 가진 소프트웨어 로봇을 소개하려 한다. 그 중 자연계의 구조, 표면 형태, 재료 특성과 센싱/발전 메커니즘을 모방한 바이오닉 소프트 로봇의 설계는 TENG 성능 향상에 큰 도움이 되었다. 또한 다양한 바이오닉 소프트 로봇은 TENG의 간단한 구조, 자체 전력 공급 특성 및 조정 가능한 출력으로 인해 이전 구동 방식보다 향상되었다. 그리하여 이 리뷰에서는 TENG가 활성화한 소프트 로봇 응용의 특정 핵심 영역에서 다양한 연구를 종합적으로 검토하려 한다. 리뷰를 요약하자면 먼저 최근 개발된 다양한 TENG 기반 소프트웨어 로봇을 정리하고 다양한 장비 구조, 표면 형태 및 자연적으로 영감을 받은 재료를 비교 분석하여 그에 따른 TENG 성능 개선을 수행한다. 자연계에 사용되는 다양한 유비쿼터스 감지 원리와 발전 메커니즘 및 유사한 인공 TENG 설계가 확인되었고 촉각 디스플레이 및 웨어러블 기기, 인공 전자 피부 등의 기기에 TENG를 활성화하는 바이오닉 응용에 대해 논의한다. 마지막으로 TENG 기반 센서 및 구동 장비의 로봇 실제 적용에 대한 발전 기회, 도전 및 미래 전망을 분석한다.

• Smart Structures and Systems
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• 제8권1호
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• pp.139-155
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• 2011

Polymeric thin-film assemblies whose bulk electrical conductivity and mechanical performance have been enhanced by single-walled carbon nanotubes are proposed for measuring strain and corrosion activity in metallic structural systems. Similar to the dermatological system found in animals, the proposed self-sensing thin-film assembly supports spatial strain and pH sensing via localized changes in electrical conductivity. Specifically, electrical impedance tomography (EIT) is used to create detailed mappings of film conductivity over its complete surface area using electrical measurements taken at the film boundary. While EIT is a powerful means of mapping the sensing skin's spatial response, it requires a data acquisition system capable of taking electrical impedance measurements on a large number of electrodes. A low-cost wireless impedance analyzer is proposed to fully automate EIT data acquisition. The key attribute of the device is a flexible sinusoidal waveform generator capable of generating regulated current signals with frequencies from near-DC to 20 MHz. Furthermore, a multiplexed sensing interface offers 32 addressable channels from which voltage measurements can be made. A wireless interface is included to eliminate the cumbersome wiring often required for data acquisition in a structure. The functionality of the wireless impedance analyzer is illustrated on an experimental setup with the system used for automated acquisition of electrical impedance measurements taken on the boundary of a bio-inspired sensing skin recently proposed for structural health monitoring.

• 한국축산식품학회지
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• 제26권3호
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• pp.402-409
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• 2006

Although microorganisms are, in fact, the most diverse and abundant type of organism on Earth, the ecological functions of microbial populations remains poorly understood. A variety of bacteria including marine Vibrios encounter numerous ecological challenges, such as UV light, predation, competition, and seasonal variations in seawater including pH, salinity, nutrient levels, temperature and so forth. In order to survive and proliferate under variable conditions, they have to develop elaborate means of communication to meet the challenges to which they are exposed. In bacteria, a range of biological functions have recently been found to be regulated by a population density-dependent cell-cell signaling mechanism known as quorum-sensing (QS). In other words, bacterial cells sense population density by monitoring the presence of self-produced extracellular autoinducers (AI). N-acylhomoserine lactone (AHL)-dependent quorum-sensing was first discovered in two luminescent marine bacteria, Vibrio fischeri and Vibrio harveyi. The LuxI/R system of V. fischeriis the paradigm of Gram-negative quorum-sensing systems. At high population density, the accumulated signalstrigger the expression of target genes and thereby initiate a new set of biological activities. Several QS systems have been identified so far. Among them, an AHL-dependent QS system has been found to control biofilm formation in several bacterial species, including Pseudomonas aeruginosa, Aeromonas hydrophila, Burkholderia cepacia, and Serratia liquefaciens. Bacterial biofilm is a structured community of bacterial cells enclosed in a self-produced polymeric matrix that adheres to an inert or living surface. Extracellular signal molecules have been implicated in biofilm formation. Agrobacterium tumefaciens strain NT1(traR, tra::lacZ749) and Chromobacterium violaceum strain CV026 are used as biosensors to detect AHL signals. Quorum sensing in lactic acid bacteria involves peptides that are directly sensed by membrane-located histidine kinases, after which the signal is transmitted to an intracellular regulator. In the nisin autoregulation process in Lactococcus lactis, the NisK protein acts as the sensor for nisin, and NisR protein as the response regulator activatingthe transcription of target genes. For control over growth and survival in bacterial communities, various strategies need to be developed by which receptors of the signal molecules are interfered with or the synthesis and release of the molecules is controlled. However, much is still unknown about the metabolic processes involved in such signal transduction and whether or not various foods and food ingredients may affect communication between spoilage or pathogenic bacteria. In five to ten years, we will be able to discover new signal molecules, some of which may have applications in food preservation to inhibit the growth of pathogens on foods.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.1931-1935
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• 2004

A location estimate problem is critical issues for mobile robot. Because it is basic problem in practical use of the mobile robot which do what, or move where, or reach an aim. Already there are many technologies of robot localization (like GPS, vision, sonar sensor, etc) used on development. But the elevation of accurateness was brought the problem that must consider an increase of a hardware cost and addition electric power in each ways. There is the core in question to develop available and accurate sensing algorithm though it is economical. We used a ultrasonic sensor and was going to implement comparatively accurate localization though economical. Using a sensing data, we could make a grid map and estimate a position of a mobile robot. In this paper, to get a satisfactory answer about this problem using a ultrasonic sensor.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권6호
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• pp.2748-2766
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• 2016

Compared with traditional patch-based sparse representation, recent studies have concluded that group-based sparse representation (GSR) can simultaneously enforce the intrinsic local sparsity and nonlocal self-similarity of images within a unified framework. This article investigates an accelerated split Bregman method (SBM) that is based on GSR which exploits image compressive sensing (CS). The computational efficiency of accelerated SBM for the measurement matrix of a partial Fourier matrix can be further improved by the introduction of a fast Fourier transform (FFT) to derive the enhanced algorithm. In addition, we provide convergence analysis for the proposed method. Experimental results demonstrate that accelerated SBM is potentially faster than some existing image CS reconstruction methods.

• Smart Structures and Systems
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• 제8권1호
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• pp.107-117
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• 2011

Biological sensory systems continuously monitor and analyze changes in real-world environments that are relevant to an animal's specific behavioral needs and goals. Understanding the sensory mechanisms and information processing principles that biological systems utilize for efficient sensory data acquisition may provide useful guidance for the design of smart-sensing systems in engineering applications. Weakly electric fish, which use self-generated electrical energy to actively sense their environment, provide an excellent model system for studying biological principles of sensory data acquisition. The electrosensory system enables these fish to hunt and navigate at night without the use of visual cues. To achieve reliable, real-time task performance, the electrosensory system implements a number of smart sensing strategies, including efficient stimulus encoding, multi-scale virtual sensor arrays, task-dependent filtering and online subtraction of sensory expectation.

• Journal of Microbiology and Biotechnology
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• 제31권1호
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• pp.1-7
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• 2021

Bacterial biofilm is a community of bacteria that are embedded and structured in a self-secreted extracellular matrix. An important clinical-related characteristic of bacterial biofilms is that they are much more resistant to antimicrobial agents than the planktonic cells (up to 1,000 times), which is one of the main causes of antibiotic resistance in clinics. Therefore, infections caused by biofilms are notoriously difficult to eradicate, such as lung infection caused by Pseudomonas aeruginosa in cystic fibrosis patients. Understanding the resistance mechanisms of biofilms will provide direct insights into how we overcome such resistance. In this review, we summarize the characteristics of biofilms and chronic infections associated with bacterial biofilms. We examine the current understanding and research progress on the major mechanisms of antibiotic resistance in biofilms, including quorum sensing. We also discuss the potential strategies that may overcome biofilm-related antibiotic resistance, focusing on targeting biofilm EPSs, blocking quorum sensing signaling, and using recombinant phages.

• 한국구조물진단유지관리공학회 논문집
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• 제15권3호
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• pp.134-141
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• 2011

최근 사회 기반 시설물에서 구조물의 안전성 및 적정 성능 수준을 확보하기 위하여 구조물의 결함 빛 노후화에 의한 성능 저하 등을 상시적으로 모니터링하기 위한 관심이 높아지고 있다. 이 중 배관 구조물은 국가 주요 자원의 수송을 책임지는 핵심 사회 기반 시설물임에도 불구하고 지중에 매립된다는 위치적 특성 상 상시적으로 구조물의 상태를 모니터링하기는 매우 어렵다. 또한 배관 구조물에서는 내부 미세 균열에서부터 국부 좌굴, 볼트 풀림, 피로 균열 등과 같이 다양한 형태의 손상이 복합적으로 발생 가능하다. 따라서 본 연구에서는 이러한 복합 손상을 효율적으로 진단하기 위하여 압전센서를 이용한 자가 계측 회로 기반의 유도 초음파 계측 시스템을 복합 손상 진단에 적용하였다. 유도 초음파 자가 계측으로부터 특정 중심 주파수에 해당하는 구조물의 웨이블렛 응답을 계측한다. 복합 손상을 유형별로 분류하기 위하여 유도 초음파 계측으로부터 추출한 특성을 이용하여 손상지수를 계산하고 이를 지도학습 기반 패턴인식 기법에 적용한다. 제안된 기법의 적용성 검토를 위하여 배관 구조물에 인위적으로 다중 손상을 생성시켜 시험을 수행하였다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제6권2호
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• pp.161-166
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• 2006

Localization of mobile agent within a sensing network is a fundamental requirement for many applications, using networked navigating systems such as the sonar-sensing system or the visual-sensing system. To fully utilize the strengths of both the sonar and visual sensing systems, This paper describes a networked sensor-based navigation method in an indoor environment for an autonomous mobile robot which can navigate and avoid obstacle. In this method, the self-localization of the robot is done with a model-based vision system using networked sensors, and nonstop navigation is realized by a Kalman filter-based STSF(Space and Time Sensor Fusion) method. Stationary obstacles and moving obstacles are avoided with networked sensor data such as CCD camera and sonar ring. We will report on experiments in a hallway using the Pioneer-DX robot. In addition to that, the localization has inevitable uncertainties in the features and in the robot position estimation. Kalman filter scheme is used for the estimation of the mobile robot localization. And Extensive experiments with a robot and a sensor network confirm the validity of the approach.