• Smart Structures and Systems
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• 제14권3호
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• pp.469-477
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• 2014

As a kind of intelligent materials, conductive asphalt concrete has a broad application prospect including melting ice and snow on the pavement, closing cracks in asphalt concrete, sensing pavement damage, and so on. Conductive pavement will be suffered from fatigue failure as conventional pavement in the process of service, and this fatigue damage of internal structure can be induced by electrical signal output. The characteristics of electrical signal variation of conductive asphalt concrete in the process of fatigue cracking were researched in this paper. The whole process was clearly divided into three stages according to resistance changes, and the development of fatigue damage wasn't obvious in stage I and stage II, while in stage III, the synchronicity between the resistance and damage began to appear. Thus, fatigue damage variable D and initial damage value $D_0$ represented by the functions of resistance were introduced in stage III. After calculating the initial damage value $D_0$ under different stress levels, it was concluded that the initial damage value $D_0$ had no noticeable change, just ranged between 0.24 and 0.25. This value represented a critical point which could be used to inform the repair time of early fatigue damage in the conductive asphalt pavement.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2011년도 춘계학술대회
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• pp.481-484
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• 2011

최근의 자동차 기술이 기계적 장치 위주에서 전장부품 특히, 차량의 안전 및 편의 기술로서 발전되고 있어서, 추후 자동차의 경쟁력은 에너지 효율성문제와 안전편의 기술의 적용에 의해 그 경쟁력이 결정될 것으로 판단된다. 본 연구에서는 자동차 운전자 졸림의 검지하기 위한 각종 기술을 소개하고 상용화된 기술의 장단점을 비교하여서, 이의 문제점을 해결하기 위한 복합 센싱기술을 소개한다. 기존의 카메라에 의한 눈동자인식을 기반으로한 직접적인 졸림검지와 운전자의 생체신호를 검출하여 간접적으로 스트레스, 피로도, 졸림을 검출하는 방법을 결합하여, 보다 정확도가 높은 졸림검지가 가능한 알고리즘을 개발하였다.

• The Plant Pathology Journal
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• 제34권3호
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• pp.236-240
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• 2018

Crop yield is critically related to the physiological responses and disease resistance of the crop, which could be strongly affected by high temperature conditions. We observed the changes in the growth of barley under higher than ambient air-temperature conditions using a temperature gradient field chamber (TGFC) during winter and spring. Before the stem extension stage of barley growth, Cladosporium sp. spontaneously appeared in the TGFC. The severity of disease became serious under warmer temperature conditions. Further, the stomata closed as the severity of the disease increased; however, stomatal conductance at the initial stage of disease was higher than that of the normal leaves. This was likely due to the Iwanov effect, which explains that stressed plants rapidly and transiently open their stomata before longer-term closure. In this study, we tested three optical methods: soil-plant analysis development (SPAD) chlorophyll index, photochemical reflectance index (PRI), and maximum quantum yield (Fv/Fm). These rapid evaluation methods have not been used in studies focusing on disease stress, although some studies have used these methods to monitor other stresses. These three indicative parameters revealed that diseased barley exhibited lower values of these parameters than normal, and with the increase in disease severity, these values declined further. Our results will be useful in efficient monitoring and evaluation of crop diseases under future warming conditions.

• Smart Structures and Systems
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• 제18권4호
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• pp.643-662
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• 2016

The monitoring of structural integrity of pipeline tapered thread connections is of great significance in terms of safe operation in the industry. In order to detect effectively the loosening degree of tapered thread connection, an active sensing method using piezoceramic transducers was developed based on time reversal technique in this paper. As the piezoeramic transducers can be either as actuators or sensors to generate or detect stress waves, the energy transmission for tapered thread connection was analyzed. Subsequently, the detection principle for tapered thread connection based on time reversal was introduced. Finally, the inherent relationship between the contact area and tightness degree of tapered thread connection for the pipe structural model was investigated. Seven different contact area scenarios were tested. Each scenario was created by loosening connectors ranging from 3 turns to 4.5 turns in the right tapered threads when the contact area in the left tapered threads were 4.5 turns. The experiments were separately conducted with a highly noisy environment and various excitation signal amplitudes. The results show the focused peaks based on time reversal have the monotonously rising trend with the increase of the contact areas of tapered threads within an acceptable monitoring resolution for metal pipes. Compared with the energy method, the proposed time reversal based method to monitor tapered threads loosening demonstrates to be more robust in rejecting noise in Structural Health Monitoring (SHM) applications.

• 동아시아식생활학회지
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• 제19권3호
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• pp.339-349
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• 2009

The purpose of this study was to investigate dietary behavior relative to personality type in young adults, and to offer basic data to apply during nutrition education and counseling. A total of 166 university students performed the MBTI (Mayers-Briggs Type Indicator) test along with questionnaire interviews, and 3 day 24-hr dietary recalls. MBTI personality preferences are presented and separated by 4 types of indices: Extraversion (E) and Introversion (I), Sensing (S) and Intuition (N), Thinking (T) and Feeling (F), and Judgement (J) and Perception (P). More subjects in the I type than the E type had lunch everyday or ate out more than once a week. Compared to the P type, the J type ate a higher proportion of meals with family, and seldom drank alcohol, but a lower proportion had a preference for salty taste. Compared to the N type, the S type had a higher proportion of subjects who consumed large quantities at regular meals as well as when under high amounts of stress. Also, the S type subjects had significantly higher lipid intakes than the N type subjects. Compared to the F type, a higher proportion of the T type subjects ate meals alone but a lower proportion had a dislike for bitter tasting foods. There were no significant differences in total food or energy intakes relative to the different personality types. In conclusion, individual personality type may influence dietary behavior, but additional studies are needed that contain individuals of various ages and include long term dietary surveys.

• Journal of Microbiology and Biotechnology
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• 제17권2호
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• pp.325-334
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• 2007

Recently, quorum sensing has been implicated as an important global regulator controlling the production of numerous virulence factors such as capsular polysaccharides in bacterial pathogens. The nucleotide and deduced amino acid sequences of smcR, a homolog of V. harveyi luxR identified from V. vulnificus ATCC29307, were analyzed. The amino acid sequence of SmcR from V. vulnificus was 72 to 92% similar to those of LuxR homologs from Vibrio spp. Functions of SmcR were assessed by the construction of an isogenic mutant, whose smcR gene was inactivated by allelic exchanges, and by evaluating its phenotype changes in vitro and in mice. The disruption of smcR resulted in a significant alteration in biofilm formation, in type of colony morphology, and in motility. When compared with the wild-type, the smcR mutant exhibited reduced survival under adverse conditions, such as acidic pH and hyperosmotic stress. The smcR mutant exhibited decreased cytotoxic activity toward INT 407 cells in vitro. Furthermore, the intraperitoneal $LD_{50}$ of the smcR mutant was approximately $10^2$ times higher than that of parental wild-type. Therefore, it appears that SmcR is a novel global regulator, controlling numerous genes contributing to the pathogenesis as well as survival of V. vulnificus.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2023년도 학술발표회
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• pp.202-202
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• 2023

전 세계적으로 지구 온난화로 인해 발생한 가뭄은 사회적, 경제적, 환경적으로 막대한 피해를 야기하고 있다. 국내의 경우, 2022년부터 현재까지 지속되고 있는 가뭄 상황은 강수의 지역적 편차로 인해 남부 지역 중심으로 극심한 피해가 발생하였다. 남부 지역의 주요 용수공급원인 영산강, 섬진강권역의 용수 공급율은 예년의 57%(3.8억 톤)에 불과하며, 일부 도서·산간 지역은 용수공급이 제한되는 현상까지 발생하였다. 이러한 가뭄 피해를 대비하기 위해 초기에 모니터링을 통한 선제적 대응 방안을 구축해야 한다. 가뭄 모니터링의 경우 미계측 지역에 대한 모니터링 방법으로 주기적이고 균질한 자료를 제공 받을 수 있는 위성영상을 활용한 연구가 수행되고 있다. 가뭄을 정량적으로 분석하고 판단하기 위해 가뭄지수를 활용하고 있으며, 대표적인 가뭄지수는 지상 관측강수량자료를 활용한 확률분포 기반의 표준강수지수 (Standardized Precipitation Index, SPI)와 강수 및 기온의 변동성이 포함된 표준강수증발산지수 (Standardized Precipitation Evapotranspiration Index, SPEI)가 있으며, 위성영상 자료를 활용한 가뭄지수인 증발스트레스지수(Evaporative Stress Index, ESI) 등이 있다. 본 연구에서는 강수와 기온을 고려한 가뭄지수인SPEI와 위성영상 기반의 가뭄지수인 ESI를 활용하여 2022년 남부 지역의 가뭄 사상을 중심으로 지표별 시공간적 변화를 분석하고자 한다. SPEI의 경우 기상관측소 지점자료의 기온과 강수량을 활용하였으며, Terra 위성의 MODIS (Moderate Resolution Imaging Spectroradiometer) 센서에서 제공되는 위성영상자료를 활용한 ESI는 미계측 지역에 대한 가뭄 판단을 위해 시·군별로 세분화하여 산정하였다.

• 센서학회지
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• 제32권2호
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• pp.88-94
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• 2023

Recently, piezoelectric tactile sensors have garnered considerable attention in the field of texture recognition owing to their high sensitivity and high-frequency detection capability. Despite their remarkable potential, improving their mechanical flexibility to attach to complex surfaces remains challenging. In this study, we present a flexible piezoelectric sensor that can be bent to an extremely small radius of up to 2.5 mm and still maintain good electrical performance. The proposed sensor was fabricated by controlling the thickness that induces internal stress under external deformation. The fabricated piezoelectric sensor exhibited a high sensitivity of 9.3 nA/kPa ranging from 0 to 10 kPa and a wide frequency range of up to 1 kHz. To demonstrate real-time texture recognition by rubbing the surface of an object with our sensor, nine sets of fabric plates were prepared to reflect their material properties and surface roughness. To extract features of the objects from the detected sensing data, we converted the analog dataset to short-term Fourier transform images. Subsequently, texture recognition was performed using a convolutional neural network with a classification accuracy of 97%.

• 마이크로전자및패키징학회지
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• 제31권1호
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• pp.1-6
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• 2024

거미는 진동감각기관을 통하여 미세한 진동까지도 감지해낸다. 뛰어난 진동 감지 능력을 활용해 먹이나 포식자가 발생시키는 진동을 감지하여 공격을 계획하거나 위협을 파악하며 생존에 활용한다. 본 논문은 거미의 진동감각기관을 모사하여 개발된 초민감 진동압력센서에 대해 기술한다. 거미가 진동을 감지하는데 사용하는 감각기관에 위치한 작은 틈에 착안하여 센서에 균열을 생성하였고, 균열의 깊이를 제어하여 외부로부터 오는 압력이나 진동을 매우 민감하게 감지할 수 있는 센서를 개발하였다. 이 센서는 10 N의 인장응력을 적용하여 2%의 변형률에서 게이지 계수가 16000에 도달한다. 이는 높은 신호대잡음비를 가져 정확하게 원하는 진동을 인식할 수 있는 소자로서 외력(압력, 진동)과 생체 신호측정 등 다양한 평가를 통해 센서의 높은 민감도를 증명하였다. 이를 통하여 생체모사 기술을 활용한 새로운 센서의 개발 및 다양한 산업 분야로의 응용 가능성을 제시한다.

• Journal of Animal Science and Technology
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• 제66권1호
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• pp.31-56
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• 2024

Pig farming, a vital industry, necessitates proactive measures for early disease detection and crush symptom monitoring to ensure optimum pig health and safety. This review explores advanced thermal sensing technologies and computer vision-based thermal imaging techniques employed for pig disease and piglet crush symptom monitoring on pig farms. Infrared thermography (IRT) is a non-invasive and efficient technology for measuring pig body temperature, providing advantages such as non-destructive, long-distance, and high-sensitivity measurements. Unlike traditional methods, IRT offers a quick and labor-saving approach to acquiring physiological data impacted by environmental temperature, crucial for understanding pig body physiology and metabolism. IRT aids in early disease detection, respiratory health monitoring, and evaluating vaccination effectiveness. Challenges include body surface emissivity variations affecting measurement accuracy. Thermal imaging and deep learning algorithms are used for pig behavior recognition, with the dorsal plane effective for stress detection. Remote health monitoring through thermal imaging, deep learning, and wearable devices facilitates non-invasive assessment of pig health, minimizing medication use. Integration of advanced sensors, thermal imaging, and deep learning shows potential for disease detection and improvement in pig farming, but challenges and ethical considerations must be addressed for successful implementation. This review summarizes the state-of-the-art technologies used in the pig farming industry, including computer vision algorithms such as object detection, image segmentation, and deep learning techniques. It also discusses the benefits and limitations of IRT technology, providing an overview of the current research field. This study provides valuable insights for researchers and farmers regarding IRT application in pig production, highlighting notable approaches and the latest research findings in this field.