• Title/Summary/Keyword: thermal sensor

Search Result 928, Processing Time 0.028 seconds

The Exploration on Early Age Deformation of HPC by FBG Strain Sensor

  • Jang, Il-Young;Yun, Ying-Wei
    • Proceedings of the Korea Concrete Institute Conference
    • /
    • 2008.04a
    • /
    • pp.1057-1060
    • /
    • 2008
  • For high performance concrete, due to its low water cement ratio (water binder ratio) and addition of mineral admixtures, pretty high autogenous shrinkage and thermal deformation occur at very early age of casting (especially before hardening). This may lead to early age cracking of HPC structures, and then may influence the durability of HPC. This paper has monitored the early age properties of HPC successfully by embedded FBG strain sensor. The results showed that the deformation increased rapidly within the first day after HPC casting. And its value is up to $85{\mu}{\varepsilon}$, which is the 30% of two-month deformation ($280{\mu}{\varepsilon}$). Considering the durability and permeability of HPC, the first-day deformation is pretty high and can not be neglected. Also the superior capability of FBG sensors such as continuity, stability and multiplexed technique etc, has been demonstrated.

  • PDF

Absorption analysis of streptavidin-biotin complexes using AFM (AFM을 이용한 스트렙타비딘-바이오틴 단백질 복합체의 흡착 분석)

  • Park, Jee-Eun;Kim, Dong-Sun;Choi, Ho-Jin;Shin, Jang-Kyoo;Kim, Pan-Kyeom;Lim, Geun-Bae
    • Journal of Sensor Science and Technology
    • /
    • v.15 no.4
    • /
    • pp.237-244
    • /
    • 2006
  • Atomic force microscope (AFM) has become a common tool for the structural and physical studies of biological macromolecules, mainly because it provides the ability to perform experiments with samples in a buffer solution. In this study, structure of proteins and nucleic acids has been studied in their physiological environment that allows native intermolecular complexes to be formed. Cr and Au were deposited on p-Si (100) substrate by thermal evaporation method in sequence with the thickness of $200{\AA}$ and $500{\AA}$, respectively, since Au is adequate for immobilizing biomolecules by forming a self-assembled monolayer (SAM) with semiconductor-based biosensors. The SAM, streptavidin and biotin interacted each other with their specific binding energy and their adsorption was analyzed using the Bio-AFM both in a solution and under air environment. A silicon nitride tip was used as a contact tip of Bio-AFM measurement in a solution and an antimony doped silicon tip as a tapping tip under air environment. Actual morphology could also be obtained by 3-dimensional AFM images. The length and agglomerate size of biomolecules was measured in stages. Furthermore, $R_{a}$ (average of surface roughness) and $R_{ms}$ (mean square of surface roughness) and surface density for the adsorbed surface were also calculated from the AFM image.

CNN-based People Recognition for Vision Occupancy Sensors (비전 점유센서를 위한 합성곱 신경망 기반 사람 인식)

  • Lee, Seung Soo;Choi, Changyeol;Kim, Manbae
    • Journal of Broadcast Engineering
    • /
    • v.23 no.2
    • /
    • pp.274-282
    • /
    • 2018
  • Most occupancy sensors installed in buildings, households and so forth are pyroelectric infra-red (PIR) sensors. One of disadvantages is that PIR sensor can not detect the stationary person due to its functionality of detecting the variation of thermal temperature. In order to overcome this problem, the utilization of camera vision sensors has gained interests, where object tracking is used for detecting the stationary persons. However, the object tracking has an inherent problem such as tracking drift. Therefore, the recognition of humans in static trackers is an important task. In this paper, we propose a CNN-based human recognition to determine whether a static tracker contains humans. Experimental results validated that human and non-humans are classified with accuracy of about 88% and that the proposed method can be incorporated into practical vision occupancy sensors.

The Monitoring System with PV Module-level Fault Diagnosis Algorithm (태양전지모듈 고장 진단 알고리즘을 적용한 모니터링시스템)

  • Ko, Suk-Whan;So, Jung-Hun;Hwang, Hye-Mi;Ju, Young-Chul;Song, Hyung-June;Shin, Woo-Gyun;Kang, Gi-Hwan;Choi, Jung-Rae;Kang, In-Chul
    • Journal of the Korean Solar Energy Society
    • /
    • v.38 no.3
    • /
    • pp.21-28
    • /
    • 2018
  • The objects of PV (Photovoltaic) monitoring system is to reduce the loss of system and operation and maintenance costs. In case of PV plants with configured of centralized inverter type, only 1 PV module might be caused a large loss in the PV plant. For this reason, the monitoring technology of PV module-level that find out the location of the fault module and reduce the system losses is interested. In this paper, a fault diagnosis algorithm are proposed using thermal and electrical characteristics of PV modules under failure. In addition, the monitoring system applied with proposed algorithm was constructed. The wireless sensor using LoRa chip was designed to be able to connect with IoT device in the future. The characteristics of PV module by shading is not failure but it is treated as a temporary failure. In the monitoring system, it is possible to diagnose whether or not failure of bypass diode inside the junction box. The fault diagnosis algorithm are developed on considering a situation such as communication error of wireless sensor and empirical performance evaluation are currently conducting.

Domestic Development and Module Manufacturing Results of W-band PA and LNA MMIC Chip (W-대역 전력증폭 및 저잡음증폭 MMIC의 국내개발 및 모듈 제작 결과)

  • Kim, Wansik;Lee, Juyoung;Kim, Younggon;Yu, Kyungdeok;Kim, Jongpil;Seo, Mihui;Kim, Sosu
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.21 no.3
    • /
    • pp.29-34
    • /
    • 2021
  • For the purpose of Application to the small radar sensor, the MMIC Chips, which are the core component of the W-band, was designed in Korea according to the characteristics of the transceiver and manufactured by 60nm GaN and 0.1㎛ GaAs pHEMT process. The output power of PA is 28 dBm at center frequency of W-band and Noise figure is 6.7 dB of switch and LNA MMIC. Output power and Noise figure of MMIC chips developed in domestic was applied to the transmitter and receiver module through W-band waveguide low loss transition structure design and impedance matching to verify the performance after the fabrication are 26.1~27.7 dBm and 7.85~10.57 dB including thermal testing, and which are close to the analysis result. As a result, these are judged that the PA and Switch and LNA MMICs can be applied to the small radar sensor.

Development of a Ranging Inspection Technique in a Sodium-cooled Fast Reactor Using a Plate-type Ultrasonic Waveguide Sensor (판형 웨이브가이드 초음파 센서를 이용한 소듐냉각고속로 원격주사 검사기법 개발)

  • Kim, Hoe Woong;Kim, Sang Hwal;Han, Jae Won;Joo, Young Sang;Park, Chang Gyu;Kim, Jong Bum
    • Transactions of the Korean Society for Noise and Vibration Engineering
    • /
    • v.25 no.1
    • /
    • pp.48-57
    • /
    • 2015
  • In a sodium-cooled fast reactor, which is a Generation-IV reactor, refueling is conducted by rotating, but not opening, the reactor head to prevent a reaction between the sodium, water and air. Therefore, an inspection technique that checks for the presence of any obstacles between the reactor core and the upper internal structure, which could disturb the rotation of the reactor head, is essential prior to the refueling of a sodium-cooled fast reactor. To this end, an ultrasound-based inspection technique should be employed because the opacity of the sodium prevents conventional optical inspection techniques from being applied to the monitoring of obstacles. In this study, a ranging inspection technique using a plate-type ultrasonic waveguide sensor was developed to monitor the presence of any obstacles between the reactor core and the upper internal structure in the opaque sodium. Because the waveguide sensor installs an ultrasonic transducer in a relatively cold region and transmits the ultrasonic waves into the hot radioactive liquid sodium through a long waveguide, it offers better reliability and is less susceptible to thermal or radiation damage. A 10 m horizontal beam waveguide sensor capable of radiating an ultrasonic wave horizontally was developed, and beam profile measurements and basic experiments were carried out to investigate the characteristics of the developed sensor. The beam width and propagation distance of the ultrasonic wave radiated from the sensor were assessed based on the experimental results. Finally, a feasibility test using cylindrical targets (corresponding to the shape of possible obstacles) was also conducted to evaluate the applicability of the developed ranging inspection technique to actual applications.

Conceptual Design of the NISS onboard NEXTSat-1

  • Jeong, Woong-Seob;Park, Sung-Joon;Park, Kwijong;Lee, Dae-Hee;Pyo, Jeonghyun;Moon, Bongkon;Park, Youngsik;Kim, Il-Joong;Park, Won-Kee;Lee, Duk-Hang;Park, Chan;Ko, Kyeongyeon;Matsumoto, Toshio;Takeyama, Norihide;Enokuchi, Akito;Shin, Goo-Whan;Chae, Jangsoo;Nam, Uk-Won
    • Journal of Astronomy and Space Sciences
    • /
    • v.31 no.1
    • /
    • pp.83-90
    • /
    • 2014
  • The NISS onboard NEXTSat-1 is being developed by Korea astronomy and space science institute (KASI). For the study of the cosmic star formation history, the NISS performs the imaging spectroscopic observation in the near-infrared range for nearby galaxies, low background regions, star-forming regions and so on. It is designed to cover a wide field of view ($2{\times}2$ deg) and a wide wavelength range from 0.95 to $3.8{\mu}m$ by using linear variable filters. In order to reduce the thermal noise, the telescope and the infrared sensor are cooled down to 200 K and 80 K, respectively. Evading a stray light outside the field of view and making the most use of limited space, the NISS adopts the off-axis reflective optical system. The primary and the secondary mirrors, the opto-mechanical part and the mechanical structure are designed to be made of aluminum material. It reduces the degradation of optical performance due to a thermal variation. This paper presents the study on the conceptual design of the NISS.

The Fabrication and Characteristics of RTD(Resistance Thermometer Device) for Micro Thermal Sensors (마이크로 열 센서용 측온저항체 온도센서의 제작 및 특성)

  • Chung, Gwiy-Sang;Hong, Seog-Woo
    • Journal of Sensor Science and Technology
    • /
    • v.9 no.3
    • /
    • pp.171-176
    • /
    • 2000
  • The physical and electrical characteristics of MgO and Pt thin-films on it, deposited by reactive sputtering and rf magnetron sputtering, respectively, were analyzed with annealing temperature and time by four-point probe, SEM and XRD. Under annealing conditions of $1000^{\circ}C$ and 2 hr, MgO thin-film had the properties of improving Pt adhesion to $SiO_2$ and insulation without chemical reaction to Pt thin-film, and the sheet resistivity and the resistivity of Pt thin-film deposited on it were $0.1288\;{\Omega}/{\square}$ and $12.88\;{\mu}{\Omega}{\cdot}cm$, respectively. We made Pt resistance pattern on $SiO_2$/Si substrate by lift-off method and fabricated thin-film type Pt-RTD(resistance thermometer device) for micro thermal sensors by Pt-wire, Pt-paste and SOG(spin-on-glass). In the temperature range of $25{\sim}400^{\circ}C$, the TCR value of fabricated Pt-RTD with thickness of $1.0{\mu}m$ was $3927\;ppm/^{\circ}C$ close to the Pt bulk value. Resistance values were varied linearly within the range of measurement temperature.

  • PDF

The Classifications using by the Merged Imagery from SPOT and LANDSAT

  • Kang, In-Joon;Choi, Hyun;Kim, Hong-Tae;Lee, Jun-Seok;Choi, Chul-Ung
    • Proceedings of the KSRS Conference
    • /
    • 1999.11a
    • /
    • pp.262-266
    • /
    • 1999
  • Several commercial companies that plan to provide improved panchromatic and/or multi-spectral remote sensor data in the near future are suggesting that merge datasets will be of significant value. This study evaluated the utility of one major merging process-process components analysis and its inverse. The 6 bands of 30$\times$30m Landsat TM data and the 10$\times$l0m SPOT panchromatic data were used to create a new 10$\times$10m merged data file. For the image classification, 6 bands that is 1st, 2nd, 3rd, 4th, 5th and 7th band may be used in conjunction with supervised classification algorithms except band 6. One of the 7 bands is Band 6 that records thermal IR energy and is rarely used because of its coarse spatial resolution (120m) except being employed in thermal mapping. Because SPOT panchromatic has high resolution it makes 10$\times$10m SPOT panchromatic data be used to classify for the detailed classification. SPOT as the Landsat has acquired hundreds of thousands of images in digital format that are commercially available and are used by scientists in different fields. After the merged, the classifications used supervised classification and neural network. The method of the supervised classification is what used parallelepiped and/or minimum distance and MLC(Maximum Likelihood Classification) The back-propagation in the multi-layer perception is one of the neural network. The used method in this paper is MLC(Maximum Likelihood Classification) of the supervised classification and the back-propagation of the neural network. Later in this research SPOT systems and images are compared with these classification. A comparative analysis of the classifications from the TM and merged SPOT/TM datasets will be resulted in some conclusions.

  • PDF

A Study on the Improvement of Heat Energy Efficiency for Utilities of Heat Consumer Plants based on Reinforcement Learning (강화학습을 기반으로 하는 열사용자 기계실 설비의 열효율 향상에 대한 연구)

  • Kim, Young-Gon;Heo, Keol;You, Ga-Eun;Lim, Hyun-Seo;Choi, Jung-In;Ku, Ki-Dong;Eom, Jae-Sik;Jeon, Young-Shin
    • Journal of Energy Engineering
    • /
    • v.27 no.2
    • /
    • pp.26-31
    • /
    • 2018
  • This paper introduces a study to improve the thermal efficiency of the district heating user control facility based on reinforcement learning. As an example, it is proposed a general method of constructing a deep Q learning network(DQN) using deep Q learning, which is a reinforcement learning algorithm that does not specify a model. In addition, it is also introduced the big data platform system and the integrated heat management system which are specialized in energy field applied in processing huge amount of data processing from IoT sensor installed in many thermal energy control facilities.