• Title/Summary/Keyword: Detection characteristics

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Isolation Frequency Characteristics of Candida Species from Clinical Specimens

  • Kim, Ga-Yeon;Jeon, Jae-Sik;Kim, Jae Kyung
    • Mycobiology
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    • v.44 no.2
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    • pp.99-104
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    • 2016
  • Candida spp. is an invasive infectious fungus, a major risk factor that can increase morbidity and mortality in hospitalized patients. In this study, 2,508 Candida spp. were isolated from various clinical specimens collected from university hospitals from July 2011 to October 2014. They were identified in order to determine isolation frequencies and characteristics by specimen, gender, age group, year, season, and month. The strain-specific isolation rate of Candida spp. is in the order of Candida albicans (1,218 strains, 48.56%), Candida glabrata (416 strains, 16.59%), Candida utilis (305 strains, 12.16%), Candida tropicalis (304 strains, 12.12%), and Candida parapsilosis (116 strains, 4.63%) and these five species accounted for more than 94% of the total strains. Of the specimens, Candida spp. were most frequently isolated from urine-catheter, followed by urinevoided, blood, sputum, other, open pus, vaginal discharge, Tip, ear discharge, bronchial aspiration and bile, in that order. Looking at the age distribution, the detection rate of patients in their 60s and older was significantly higher at 75.8% (1,900/2,508). The detection rate of patients in their 20s and younger was shown to be very low at 2.55% (64/2,508). By year, the detection rate of non-albicans Candida spp. showed a tendency to gradually increase each year compared with C. albicans. As isolation of Candida spp. from clinical samples at the specie level can vary depending on characteristics of the patient, sample, season, etc., continual studies are required.

Development of the Financial Account Pre-screening System for Corporate Credit Evaluation (분식 적발을 위한 재무이상치 분석시스템 개발)

  • Roh, Tae-Hyup
    • The Journal of Information Systems
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    • v.18 no.4
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    • pp.41-57
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    • 2009
  • Although financial information is a great influence upon determining of the group which use them, detection of management fraud and earning manipulation is a difficult task using normal audit procedures and corporate credit evaluation processes, due to the shortage of knowledge concerning the characteristics of management fraud, and the limitation of time and cost. These limitations suggest the need of systemic process for !he effective risk of earning manipulation for credit evaluators, external auditors, financial analysts, and regulators. Moot researches on management fraud have examined how various characteristics of the company's management features affect the occurrence of corporate fraud. This study examines financial characteristics of companies engaged in fraudulent financial reporting and suggests a model and system for detecting GAAP violations to improve reliability of accounting information and transparency of their management. Since the detection of management fraud has limited proven theory, this study used the detecting method of outlier(upper, and lower bound) financial ratio, as a real-field application. The strength of outlier detecting method is its use of easiness and understandability. In the suggested model, 14 variables of the 7 useful variable categories among the 76 financial ratio variables are examined through the distribution analysis as possible indicators of fraudulent financial statements accounts. The developed model from these variables show a 80.82% of hit ratio for the holdout sample. This model was developed as a financial outlier detecting system for a financial institution. External auditors, financial analysts, regulators, and other users of financial statements might use this model to pre-screen potential earnings manipulators in the credit evaluation system. Especially, this model will be helpful for the loan evaluators of financial institutes to decide more objective and effective credit ratings and to improve the quality of financial statements.

Small Target Detection Using Cross Product Based on Temporal Profile in Infrared Image Sequences (적외선 영상 시퀀스에서 시간적 프로파일 기반의 외적을 사용한 소형 표적 검출)

  • Kim, Byoung-Ik;Bea, Tea-Wuk;Kim, Young-Choon;Ahn, Sang-Ho;Kim, Duk-Gyoo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.1C
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    • pp.8-16
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    • 2010
  • This paper presents a new small target detection method using the cross product of the temporal pixels based on the temporal profile in infrared (IR) image sequences. The temporal characteristics of small targets and the various backgrounds are different. A new algorithm classifies target pixels and the background pixels through the hypothesis testing using the cross product of pixels on the temporal profile and predicts the temporal backgrounds based on the results. The small targets are detected by subtracting the predicted temporal background profile from the original temporal profile. For the performance comparison between the proposed algorithm and the conventional algorithms, the receiver operating characteristics (ROC) curves is computed in experiment. Experimental results show that the proposed algorithm has better discrimination and a lower false alarm rate than the conventional methods.

Detection of Personal Information Leakage using the Network Traffic Characteristics (네트워크 트래픽 특성을 이용한 개인정보유출 탐지기법)

  • Park, Jung-Min;Kim, Eun-Kyung;Jung, Yu-Kyung;Chae, Ki-Joon;Na, Jung-Chan
    • The KIPS Transactions:PartC
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    • v.14C no.3 s.113
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    • pp.199-208
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    • 2007
  • In a ubiquitous network environment, detecting the leakage of personal information is very important. The leakage of personal information might cause severe problem such as impersonation, cyber criminal and personal privacy violation. In this paper, we have proposed a detection method of personal information leakage based on network traffic characteristics. The experimental results indicate that the traffic character of a real campus network shows the self-similarity and Proposed method can detect the anomaly of leakage of personal information by malicious code.

Mariner's Information Processing Characteristics in Ship-to-Ship Collision Situation (선박간 충돌 위험상황에서의 항해사 정보처리 특성에 관한 연구)

  • Kim, Bi-A;Oh, Jin-Seok;Lee, Se-Won;Lee, Jae-Sik
    • Journal of the Korean Society of Safety
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    • v.23 no.1
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    • pp.46-50
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    • 2008
  • The purpose of the present study was to investigate the mariner's information characteristics in ship-ta-ship collision situation using the full mission ship-handling simulator. Risk levels of ship-to-ship collision were manipulated by whether the target ship complies with the naval regulations and by movement patterns of target ship. Dependent variables reflecting mariner's information characteristics in ship-ta-ship collision situation were measured in terms of radar detection reaction time, free recall performance of past navigation situation, and subjective ratings for the task difficulty. The results showed that, in general, the mariners appeared to be deteriorated in their radar detection reaction time and free recall performance as the risk of ship-ta-ship collision increased. Also, the mariners tended to rate required tasks more difficult in the high risk ship-ta-ship collision situation.

Frequency Characteristics of the Synchronous-Frame Based D-Q Methods for Active Power Filters

  • Wang, Xiaoyu;Liu, Jinjun;Hu, Jinku;Meng, Yuji;Yuan, Chang
    • Journal of Power Electronics
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    • v.8 no.1
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    • pp.91-100
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    • 2008
  • The d-q harmonic detecting algorithms are dominant methods to generate current references for active power filters (APF). They are often implemented in the synchronous frame and time domain. This paper researches the frequency characteristics of d-q synchronous transformations, which are closely related to the analysis and design issues of control system. Intuitively, the synchronous transformation is explained with amplitude modulation (AM) in this paper. Then, the synchronous filter is proven to be a time-invariant and linear system, and its transfer function matrix is derived in the stationary frames. These frequency-domain models imply that the synchronous transformation has an equivalent effect of frequency transformation. It is because of this feature, the d-q method achieves band-pass characteristics with the low pass filters in the synchronous frame at run time. To simplify these analytical models, an instantaneous positive-negative sequence frame is proposed as expansion of traditional symmetrical components theory. Furthermore, the synchronous filter is compared with the traditional bind-pass filters based on these frequency-domain analytical models. The d-q harmonic detection methods are also improved to eliminate the inherent coupling effect of synchronous transformation. Typical examples are given to verify previous analysis and comparison. Simulation and experimental results are also provided for verification.

Detection of abnormal conditions and monitoring of surface ginding characteristics by acoustic emission (AE에 의한 평면연삭의 가공특성 감시 및 이상진단)

  • Lim, Y.H.;Kwon, D.H.;Choi, M.Y.;Lim, S.J.
    • Journal of the Korean Society for Precision Engineering
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    • v.12 no.4
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    • pp.100-110
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    • 1995
  • This paper aims at reviewing the possibility of application over normal or abnormal, detection used by AE, and the characteristics of grinding processes. In this study, when WA-vitri-fied ' resinoid bond grinding wheels:36 kinds of grinding wheel and grinding depth were tuned at the surface grinding, the zone of AE signal generation is theoretically modelled and reviewed by grinding processes. The variation of grinding resistance( F$n^{9}$ $F_{t}$) and AE signal is detected in-process by the use of AE measuring system. The tests are carried out in accordance with grain size and grade of grinding wheels, and work-pieces-STD11 and STD61. According to the experiment's results, the following can be expected;as grinding time passes by, the relation of grinding depth and quantity of AE signal, observing on AE signal and grinding burn suggest the characteristics of grinding processes and evalution on the possibility of control of grinding machine, and monitoring abnormal conditions.e, and monitoring abnormal conditions.

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Evaluation of Reliability on the 6.6kV Class Ceramic Coupler for On-line Partial Discharge Measurement in Winding Machines (권선형기기 On-line 부분방전 측정용 6-6kV급 Ceramic Coupler의 신뢰성 평가)

  • Kang Dong-Sik;Kim Yong-Joo;Yun Youn-Ho
    • The Transactions of the Korean Institute of Electrical Engineers C
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    • v.54 no.2
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    • pp.69-75
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    • 2005
  • In order to improve the reliability of high voltage rotating machines and mold transformers, it is necessary to understand the breakdown mechanism and life assessment of the high voltage winding parts. Especially the on-line PD test provides the ability to monitor effects, such as slot discharge, internal discharge, and end-winding discharge without interrupting the electrical machines, this method has been proven the major testing technology. Capacitive couplers have been the most widely used sensors for the on-line partial discharge detection in rotating machines nowadays. This paper deals with the electrical characteristics and long-term reliability of a ceramic coupler(CC), which can be easily mounted into high voltage input terminal part, has been developed and tested to continuously measure PD activity during operating condition. This paper presents electrical characteristics (dielectric loss angle, capacitance, PD inception level, breakdown voltage, and frequency response bandwidth) and long-term life test result of the developed 6.6 kV class on-line ceramic coupling sensor. It was found that this sensor had good electrical characteristics to detect PD activity during the operating condition with its detection frequency band is between several and several tens MHz. Also, the voltage life of the 6.6kV class ceramic coupler was calculated over 60 years.

A mini-review on discharge characteristics and management of microplastics in sewage treatment plants (국내·외 연구사례를 통해 본 하수처리시설 미세플라스틱 배출특성 및 관리방안 고찰)

  • Jeong, Dong-Hwan;Ju, Byoungkyu;Lee, Wonseok;Chung, Hyenmi;Park, Junwon;Kim, Changsoo
    • Journal of Korean Society of Water and Wastewater
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    • v.32 no.4
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    • pp.337-348
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    • 2018
  • As the issue of microplastics (MPs) detection in tap water was raised in other countries in 2017, monitoring of MPs in drinking and source water, and sewage treatment plant (STP) effluents was initiated. This study intends to look into other studies on MPs in STPs at home and abroad, and review the characteristics of MPs and their removal efficiencies in the STPs, the risk and effect of MPs on watersheds, and management practices in order to help better understand MPs in STPs. To manage MPs effectively in STPs, it is necessary to investigate the detection of MPs discharged from STPs, do research on human health risk and control measures, and build a monitoring system including standardized analytical methods.

Distribution and Molecular Characteristics of Vibrio vulnificus Isolated from Seawater Along the Gadeok Island Coast (가덕도 연안 해수에서 Vibrio vulnificus의 분포 및 분리균주의 병원성 유전자 특성)

  • Oh, Hee-Kyung;Jeong, Hee-Jin;Kim, Young-Mog
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.53 no.5
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    • pp.688-693
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    • 2020
  • Vibrio vulnificus is a Gram-negative marine bacterium known to cause septicemia. This study was conducted to investigate the distribution of V. vulnificus along the coast of Gadeok Island in Korea and to determine the molecular characteristics of isolated strains sampled between March and November 2019 from seawater. The strains were mostly detected between July and September, when the average water temperature and average salinity were 22.2-26.2℃ and 14.2-29.9 psu, respectively. V. vulnificus was not detected in seawater below 15℃. In September, the highest population of V. vulnificus was observed at 2,100 MPN (most probable number)/100 mL, attributable to decreased salinity from heavy rains. In addition, the detection rate of V. vulnificus was higher at the sampling station near the Nakdong River. Virulence-related genes were also identified among the isolates, such as vvhA (97.1%), viuB (44.1%), and vcgC (57.4%). In particular, viuB and vcgC were only observed in V. vulnificus isolated from June to September, when the detection rate was high and water temperature was above 20℃, suggesting the role of seasonal characteristics.