• Title/Summary/Keyword: Detection Techniques

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Study on The Corrosion Rate Monitoring of Steel in Concrete Using Electric resistance Sensor and Electrochemical Methods. (전기저항형 센서 및 전기화학적 방법을 이용한 철근콘크리트 구조물의 부식속도 측정 방법에 관한 연구)

  • 조용범;김용철;장상엽;고영태
    • Proceedings of the Korea Concrete Institute Conference
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    • 2001.11a
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    • pp.1185-1192
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    • 2001
  • This paper reviews available techniques for monitoring corrosion of steel in concrete. The need for early detection and diagnosis of corrosion related deterioration in reinforced structures is widely acknowledged. This is particularly important in reinforced concrete structures on account of the economic and social significance of the problem. The current generally used on-site procedure for corrosion monitoring of reinforced structures employs a method of half-cell surface potential measurements. While the technique has provided a useful means of delineating areas of high or low corrosion risk, there are difficulties in its use and interpretation when assessing rates of deterioration. Electrochemical techniques are by far the most suitable for corrosion monitoring purpose and meet most of the requirements. The aim of this paper is to describe the electric resistance sensor(ER sensor) and electrochemical techniques employed to monitor and estimate corrosion rates of reinforcement. Early detection and diagnosis of corrosion hazards allows preventive measures to be taken, hence the typically expensive repair of severely deteriorated structures can be avoided.

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Whole genome sequencing based noninvasive prenatal test

  • Cho, Eun-Hae
    • Journal of Genetic Medicine
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    • v.12 no.2
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    • pp.61-65
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    • 2015
  • Whole genome sequencing (WGS)-based noninvasive prenatal test (NIPT) is the first method applied in the clinical setting out of various NIPT techniques. Several companies, such as Sequenom, BGI, and Illumina offer WGS-based NIPT, each with different technical and bioinformatic approaches. Sequenom, BGI, and Illumina utilize z-, t-, and L-scores, as well as normalized chromosome values, respectively, for trisomy detection. Their outstanding performance has been demonstrated in clinical studies of more than 100,000 pregnancies. The sensitivity and specificity for detection of trisomies 13, 18, and 21 were above 98%, as reported by all three companies. Unlike other techniques, WGS-based NIPT can detect other trisomies as well as clinically significant segmental duplications/deletions within a chromosome, which could expand the scope of NIPT. Incorrect results could be due to low fetal fraction, fetoplacental mosaicism, confined placental mosaicism or maternal copy number variation (CNV). Among those, maternal CNV is a significant contributor of false positive results and therefore genome wide scanning plays an important role in preventing the occurrence of false positives. In this article, the bioinformatic techniques and clinical performance of three major companies are comprehensively reviewed.

A Study on Detection of Influential Observations on A Subset of Regression Parameters in Multiple Regression

  • Park, Sung Hyun;Oh, Jin Ho
    • Communications for Statistical Applications and Methods
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    • v.9 no.2
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    • pp.521-531
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    • 2002
  • Various diagnostic techniques for identifying influential observations are mostly based on the deletion of a single observation. While such techniques can satisfactorily identify influential observations in many cases, they will not always be successful because of some mask effect. It is necessary, therefore, to develop techniques that examine the potentially influential effects of a subset of observations. The partial regression plots can be used to examine an influential observation for a single parameter in multiple linear regression. However, it is often desirable to detect influential observations for a subset of regression parameters when interest centers on a selected subset of independent variables. Thus, we propose a diagnostic measure which deals with detecting influential observations on a subset of regression parameters. In this paper, we propose a measure M, which can be effectively used for the detection of influential observations on a subset of regression parameters in multiple linear regression. An illustrated example is given to show how we can use the new measure M to identify influential observations on a subset of regression parameters.

Signal Processing(II)-Detection and Estimation of Random Process, Karhunen Lo$\grave{e}$ve Expansion, SVD of an Image) (신호처리(II)-Random Process의 detection 및 estimation Karhunen.Loeve의 전개, 한 서상의 SVD)

  • 안수길
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.17 no.1
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    • pp.1-9
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    • 1980
  • In this paper several basic techniques for signal processing and analysis are surveyed. Firstly by the intervention of the uncertainty principle, an equality sign may have different degree of precision if non commutable operators are applied. Seconds y maximum entropy estimate and randam process based viewpoint must be enhanced to get rid of the well established and reigning deterministic image of science. Thirdly techniques for the analysis of a signal namely detection. ess]motion and modulation are explained as well as the positive definiteness of a covariance function, Karhunen-Loeve expansion and SVD of an image.

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Laboratory Diagnosis for Sarcocystis Asexual Stages in Cattle (소에 감염(感染)된 주육포자충(住肉胞子蟲) 무성생식(無性生殖) 증식형(增殖型)에 대(對)한 실험실적(實驗室的) 진단(診斷))

  • Kang, Yung-bae;Jang, Hwan
    • Korean Journal of Veterinary Research
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    • v.28 no.1
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    • pp.155-163
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    • 1988
  • For the laboratory diagnosis of Sarcocystis infections especially in domesticated food animals, several antificial digestion techniques were applied for the musculature specimens and several staining techniques was applied for the bradyzoites of Sarcocystis species isolated. The digestion technique using trypsin(0.5%) and sodium chloride(0.85%) mixed solution was regarded as the most valuable for the detection of asexual stages of Sarcocystis in bovine musculature specimens. Optimal time for digestion was approximately one to four hours. The trypsion digestion technique with Giemsa's stain could be helpful for the detection of Sarcocystis prolferative forms and for the observation of the nucleus of the parasite. A systematic detection was also performed in an autopsy for a bovine carcass naturally infected with Sarcocystis species, and the asexual stages such as metrocytes and bradyzoites were observed in the specific organs, respectively.

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Osteoporosis: New Biomedical Engineering Aspects

  • Singh, Kanika;Lee, Sung-Hak;Kim, Kyung-Chun
    • Journal of Mechanical Science and Technology
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    • v.20 no.12
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    • pp.2265-2283
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    • 2006
  • There is tremendous interest of research which surrounds the concept of 'osteoporosis,' as shown by the intense and growing research activity in the field. The urgency to advance knowledge in this area is motivated by the need to understand not only the causes, diagnosis and treatment but also need for early identification or detection of this silent disease. Despite the various researches work is going on, important issues remain unresolved. In this paper, Osteoporosis has also been discussed with respect to biological, engineering, biochemical and physical aspects. The diagnostic and therapeutic techniques have been described for osteoporosis, for better health care. The novelty of the review paper lies in clarifying several myths, explaining the disease in details with biomedical engineering aspects and focuses on the several detection techniques, providing a new direction for early diagnosis of this deadly disease and gives new directions for the POCT device for Osteoporosis.

GEOLOGICAL LINEAMENTS ANALYSIS BY IFSAR IMAGES

  • Wu Tzong-Dar;Chang Li Chi
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.169-172
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    • 2005
  • Modem SAR interferometry (IFSAR) sensors delivering intensity images and corresponding digital terrain model (DTM) allow for a thorough surface lineament interpretation with the all-weather day-night applicability. In this paper, an automatic linear-feature detection algorithm for high-resolution SAR images acquired in Taiwan is proposed. Methodologies to extract linear features consist of several stages. First, the image denoising techniques are used to remove the speckle noise on the raw image. In this stage, the Lee filter has been chosen because of its superior performance. After denoising, the Coefficient of Variation Detector is performed on the result images for edge enhancements and detection. Dilation and erosion techniques are used to reconnect the fragmented lines. The Hough transform, which is a special case of a more general transform known as Radon transform, is a suitable method for line detection in our analysis. Finally, linear features are extracted from the binary edge image. The last stage contains many substeps such as edge thinning and curve pruning.

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Intrusion Detection Using Bayesian Techniques on the IPv6 Environment (IPv6 환경에서의 베이지안 기법을 이용한 침해탐지)

  • Koo, Min-Jeong;Min, Byoung-Won
    • Proceedings of the Korea Contents Association Conference
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    • 2006.05a
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    • pp.385-387
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    • 2006
  • The rapidly development of computing environments and the spread of Internet make possible to obtain and use of information easily. The IPv6 environment combined the home network and All-IP Network with has arrived, the damages cased by the attacks from the worm attacks and the various virus has been increased. the In this paper, intrusion detection method using Attack Detection Algorithm Using Bayesian Techniques on the IPv6 Environment.

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A Survey of Real-time Road Detection Techniques Using Visual Color Sensor

  • Hong, Gwang-Soo;Kim, Byung-Gyu;Dogra, Debi Prosad;Roy, Partha Pratim
    • Journal of Multimedia Information System
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    • v.5 no.1
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    • pp.9-14
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    • 2018
  • A road recognition system or Lane departure warning system is an early stage technology that has been commercialized as early as 10 years but can be optional and used as an expensive premium vehicle, with a very small number of users. Since the system installed on a vehicle should not be error prone and operate reliably, the introduction of robust feature extraction and tracking techniques requires the development of algorithms that can provide reliable information. In this paper, we investigate and analyze various real-time road detection algorithms based on color information. Through these analyses, we would like to suggest the algorithms that are actually applicable.

A Study on DDoS(Distributed Denial of Service) Attack Detection Model Based on Statistical (통계 기반 분산서비스거부(DDoS)공격 탐지 모델에 관한 연구)

  • Kook, Yoon-Ju;Kim, Yong-Ho;Kim, Jeom-Goo;Kim, Kiu-Nam
    • Convergence Security Journal
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    • v.9 no.2
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    • pp.41-48
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    • 2009
  • Distributed denial of service attack detection for more development and research is underway. The method of using statistical techniques, the normal packets and abnormal packets to identify efficient. In this paper several statistical techniques, using a mix of various offers a way to detect the attack. To verify the effectiveness of the proposed technique, it set packet filtering on router and the proposed DDoS attacks detection method on a Linux router. In result, the proposed technique was detect various attacks and provide normal service mostly.

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