• 제목/요약/키워드: precise monitoring

검색결과 392건 처리시간 0.026초

Mobile u-healthcare system in IEEE 802.15.4 WSN and CDMA network environments

  • 토싱후이;이승철;이훈재;도경훈;정완영
    • 센서학회지
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    • 제18권5호
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    • pp.337-342
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    • 2009
  • This paper describes a robust mobile u-healthcare system with multiple physiological signs measurement capability in real time with integration of WSN(wireless sensor network) technology and CDMA(code division multiple access) network. A cellular phone receives health data in WSN and performs local physiological signs analysis at a phone processor, and then transmits abnormal data to server for further detail or precise health signal evaluation by a medical doctor over a CDMA network. Physiological signs of the patients are continuously monitored, processed and analyzed locally at cellular phone process to produce useful medical information for diagnosis and tracking purposes. By local simple analysis in cellular phone processor we can save the data transmission cost in CDMA network. By using the developed integrate ubiquitous healthcare service architecture, patients can realize self-health checking so that the prevention actions can be taken earlier. Appropriate self-monitoring and self-management can cure disease and relieve pain especially for patients who suffer from chronic diseases that need long term observation.

축전지 관리시스템(BMS)을 위한 건강상태(SOH) 진단방법 (Diagnosis of State Of Health(SOH) for Battery Management System(BMS))

  • 김효성
    • 전력전자학회논문지
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    • 제11권6호
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    • pp.558-562
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    • 2006
  • 현대사회에서 축전지라 불리우는 2차 전지는 그 용도가 중요하지만, 비선형적이고 다양한 파라메타에 따른 복잡한 특성 때문에 그 사용법에 있어서 발전에 제한을 받아왔다. 각 축전지 셀의 건강상태(SOH)를 실시간으로 정확히 파악하는 것은 장비의 안정된 운전과 원활한 관리를 위하여 필수적이다. 본 논문에서는 축전지의 내부컨덕턴스를 측정하는 간접적인 방법에 의하여 장비의 운전이나 축전지의 수명에 영향을 주지 않고 납축전지의 건강상태(SOH)를 실시간으로 진단하는 방법을 제시하고, 실제로 120개의 납축전지에 대한 컨덕턴스 자료에 의하여 건강상태를 진단하고 교체시기를 판단한다.

서울시 정수장 유입 원수내 미량유해물질의 조사 (Analysis of Micropollutants Present in Raw Water Supplied for the Several Drinking Water Treatment Plants in Seoul)

  • 오병수;김경숙;주설;강준원
    • 한국물환경학회지
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    • 제20권3호
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    • pp.245-250
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    • 2004
  • This study investigated the micropollutants present in raw water supplied for the several drinking water treatment plants in Seoul. The target sample waters were collected from the several sites, such as Jayang (JY), Kuui (KI), Paldang (PD) and Kangbuk (KB) at the Han-River stream. The analytical method used in this study enable us to detect about 300 kinds of chemicals commonly found in surface water at ppt level by GC-ion trap MS. In this study, the consideration on the analytic results focused on the four hazardous organics, such as benzenes, phenols, phthalates and pesticides. The numbers of each detected micropollutant were 1~8 kinds for benzenes, 1~7 kinds for phenols, 5~7 kinds for phthalates and 1~9 kinds for pesticides. For the pesticides, the higher concentration was detected in the water samples collected from PD and KB adjacent to the farming area, and at June and July, which is the busy farming season. The total concentrations of each micropollutants detected at all the sites were significantly lower than those of drinking water regulation in Korea as well as other advanced countries. However, the frequently detected micropollutants requires the steady and precise monitoring for the effective management of drinking water source.

Multi-class support vector machines for paint condition assessment on the Sydney Harbour Bridge using hyperspectral imaging

  • Huynh, Cong Phuoc;Mustapha, Samir;Runcie, Peter;Porikli, Fatih
    • Structural Monitoring and Maintenance
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    • 제2권3호
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    • pp.181-197
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    • 2015
  • Assessing the condition of paint on civil structures is an important but challenging and costly task, in particular when it comes to large and complex structures. Current practices of visual inspection are labour-intensive and time-consuming to perform. In addition, this task usually relies on the experience and subjective judgment of individual inspectors. In this study, hyperspectral imaging and classification techniques are proposed as a method to objectively assess the state of the paint on a civil or other structure. The ultimate objective of the work is to develop a technology that can provide precise and automatic grading of paint condition and assessment of degradation due to age or environmental factors. Towards this goal, we acquired hyperspectral images of steel surfaces located at long (mid-range) and short distances on the Sydney Harbour Bridge with an Acousto-Optics Tunable filter (AOTF) hyperspectral camera (consisting of 21 bands in the visible spectrum). We trained a multi-class Support Vector Machines (SVM) classifier to automatically assess the grading of the paint from hyperspectral signatures. Our results demonstrate that the classifier generates highly accurate assessment of the paint condition in comparison to the judgement of human experts.

Computational mechanics and optimization-based prediction of grain orientation in anisotropic media using ultrasonic response

  • Kim, Munsung;Moon, Seongin;Kang, To;Kim, Kyongmo;Song, Sung-Jin;Suh, Myungwon;Suhr, Jonghwan
    • Nuclear Engineering and Technology
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    • 제53권6호
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    • pp.1846-1857
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    • 2021
  • Ultrasonic nondestructive testing is important for monitoring the structural integrity of dissimilar metal welds (DMWs) in pressure vessels and piping in nuclear power plants. However, there is a low probability of crack detection via inspection of DMWs using ultrasonic waves because the grain structures (grain orientations) of the weld area cause distortion and splitting of ultrasonic beams propagating in anisotropic media. To overcome this issue, the grain orientation should be known, and a precise ultrasonic wave simulation technique in anisotropic media is required to model the distortion and splitting of the waves accurately. In this study, a method for nondestructive prediction of the DMW grain orientations is presented for accurate simulation of ultrasonic wave propagation behavior in the weld area. The ultrasonic wave propagation behavior in anisotropic media is simulated via finite-element analysis when ultrasonic waves propagate in a transversely isotropic material. In addition, a methodology to predict the DMW grain orientation is proposed that employs a simulation technique for ultrasonic wave propagation behavior calculation and an optimization technique. The simulated ultrasonic wave behaviors with the grain orientations predicted via the proposed method demonstrate its usefulness. Moreover, the method can be used to determine the focal law in DMWs.

Inertial Microfluidics-Based Cell Sorting

  • Kim, Ga-Yeong;Han, Jong-In;Park, Je-Kyun
    • BioChip Journal
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    • 제12권4호
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    • pp.257-267
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    • 2018
  • Inertial microfluidics has attracted significant attention in recent years due to its superior benefits of high throughput, precise control, simplicity, and low cost. Many inertial microfluidic applications have been demonstrated for physiological sample processing, clinical diagnostics, and environmental monitoring and cleanup. In this review, we discuss the fundamental mechanisms and principles of inertial migration and Dean flow, which are the basis of inertial microfluidics, and provide basic scaling laws for designing the inertial microfluidic devices. This will allow end-users with diverse backgrounds to more easily take advantage of the inertial microfluidic technologies in a wide range of applications. A variety of recent applications are also classified according to the structure of the microchannel: straight channels and curved channels. Finally, several future perspectives of employing fluid inertia in microfluidic-based cell sorting are discussed. Inertial microfluidics is still expected to be promising in the near future with more novel designs using various shapes of cross section, sheath flows with different viscosities, or technologies that target micron and submicron bioparticles.

버섯재배 무균 생육환경 조성을 위한 스마트팜 통합제어 시스템 (Smart Farm Control System for the Creation of Mushroom-Cultivated Aseptic Environment)

  • 주영태;김선희;김응곤
    • 한국전자통신학회논문지
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    • 제16권3호
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    • pp.559-564
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    • 2021
  • ICT의 발전에 따라 농업 분야에서는 재배시설의 첨단화를 위해 스마트팜 관련 연구가 꾸준히 진행되고 있다. 하지만 현재의 스마트팜은 특정 작물이 아닌 여러 분야에 활용이 가능한 범용 시스템이 대부분을 이루고 있다. 본 논문에서는 버섯재배에 특화된 무균 생육환경 조성이 가능한 환경제어 장치 및 통합제어시스템을 제안하고, 구성되는 시스템의 설계, 제작 및 프로그램을 구현해 재배환경에 대한 시험을 진행하였다. 이를 통해 정밀한 생육환경 유지가 필요한 작물에 최적화된 스마트팜 구축이 가능하다.

Simultaneous Determination of Anthraquinone, Flavonoids, and Phenolic Antidiabetic Compounds from Cassia auriculata Seeds by Validated UHPLC Based MS/MS Method

  • Girme, Aboli;Saste, Ganesh;Chinchansure, Ashish;Joshi, Swati;Kunkulol, Rahul;Hingorani, Lal;Patwardhan, Bhushan
    • Mass Spectrometry Letters
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    • 제11권4호
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    • pp.82-89
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    • 2020
  • A systematic isolation and characterization study for Cassia auriculata (CA) seeds resulted in identifying antidiabetic compounds 1,3,8-trihydroxyanthraquinone and quercetin, quercetin-3-O-rutinoside, gallic acid, caffeic acid, ferulic acid, and ellagic acid. The ultra-high-performance liquid chromatography based triple quadrupole mass spectrometry methodology was developed and validated for simultaneous identification and confirmation of these compounds from CA seeds. Multiple reaction monitoring (MRM) based quantification method was developed with MRM optimizer software for MS1 and MS2 mass analysis. The method was optimized on precursor ions and product ions with the ion ratio of each compound. The calibration curves of seven bioactive analytes showed excellent linearity (r2 ≥ 0.99). The quantitation results found precise (RSD, < 10 %) with good recoveries (84.58 to 101.42%). The matrix effect and extraction recoveries were found within the range (91.66 to 102.11%) for the CA seeds. This is the first MS/MS-based methodology applied to quantifying seven antidiabetic compounds in CA seeds and its extract for quality control purposes.

Design of an Optical System for a Space Target Detection Camera

  • Zhang, Liu;Zhang, Jiakun;Lei, Jingwen;Xu, Yutong;Lv, Xueying
    • Current Optics and Photonics
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    • 제6권4호
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    • pp.420-429
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    • 2022
  • In this paper, the details and design process of an optical system for space target detection cameras are introduced. The whole system is divided into three structures. The first structure is a short-focus visible light system for rough detection in a large field of view. The field of view is 2°, the effective focal length is 1,125 mm, and the F-number is 3.83. The second structure is a telephoto visible light system for precise detection in a small field of view. The field of view is 1°, the effective focal length is 2,300 mm, and the F-number is 7.67. The third structure is an infrared light detection system. The field of view is 2°, the effective focal length is 390 mm, and the F-number is 1.3. The visible long-focus narrow field of view and visible short-focus wide field of view are switched through a turning mirror. Design results show that the modulation transfer functions of the three structures of the system are close to the diffraction limit. It can further be seen that the short-focus wide-field-of-view distortion is controlled within 0.1%, the long-focus narrow-field-of-view distortion within 0.5%, and the infrared subsystem distortion within 0.2%. The imaging effect is good and the purpose of the design is achieved.

Food Security through Smart Agriculture and the Internet of Things

  • Alotaibi, Sara Jeza
    • International Journal of Computer Science & Network Security
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    • 제22권11호
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    • pp.33-42
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    • 2022
  • One of the most pressing socioeconomic problems confronting humanity on a worldwide scale is food security, particularly in light of the expanding population and declining land productivity. These causes have increased the number of people in the world who are at risk of starving and have caused the natural ecosystems to degrade at previously unheard-of speeds. Happily, the Internet of Things (IoT) development provides a glimmer of light for those worried about food security through smart agriculture-a development that is particularly relevant to automating food production operations in order to reduce labor expenses. When compared to conventional farming techniques, smart agriculture has the benefit of maximizing resource use through precise chemical input application and regulation of environmental factors like temperature and humidity. Farmers may make data-driven choices about the possibility of insect invasion, natural disasters, anticipated yields, and even prospective market shifts with the use of smart farming tools. The technical foundation of smart agriculture serves as a potential response to worries about food security. It is made up of wireless sensor networks and integrated cloud computing modules inside IoT.