• 제목/요약/키워드: utility detection

검색결과 222건 처리시간 0.021초

이상탐지 활용 전자집단민원 추정 방법론에 관한 탐색적 연구: 창원시 시민의 소리 사례를 중심으로 (An Exploratory Study of Collective E-Petitions Estimation Methodology Using Anomaly Detection: Focusing on the Voice of Citizens of Changwon City)

  • 정하영
    • 정보화정책
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    • 제26권4호
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    • pp.85-106
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    • 2019
  • 최근 전자민원시스템에 집단민원을 제기하는 사례가 늘어나고 있으나 이에 대한 효율적인 관리시스템이 아직 마련되어 있지 않아 행정 업무량 증대와 사회적 갈등 양산 등의 부작용이 우려되고 있다. 이에 본 연구에서는 이상탐지와 코퍼스 언어학 기반의 내용분석을 활용한 전자 집단민원 추정 방법론을 제시하고자 하였다. 이를 위하여 1)집단민원의 개념에 대한 이론적 고찰과 2) 비모수적 비지도 학습에 기반 한 이상탐지를 활용한 전자 집단민원 추정과 3) n-gram 코사인 각도 거리를 활용한 민원의 내용 유사도 분석방법론을 제안하고 4) 창원시 시민의 소리에 대한 사례분석을 통하여 제시한 방법론의 유용성과 정책적 시사점, 향후 과제를 검토하였다.

수집 데이터 기반 경량 이상 데이터 감지 알림 시스템 개발 (Evaluation of Edge-Based Data Collection System through Time Series Data Optimization Techniques and Universal Benchmark Development)

  • 조우진;구재회
    • 문화기술의 융합
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    • 제10권1호
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    • pp.453-458
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    • 2024
  • 전 세계적으로 기후 위기와 에너지 비용 증가 등의 문제로 인해 에너지 절감과 관리에 대한 관심이 증대되고 있다. 대한민국의 경우 전체 에너지 사용량의 약 53.5%가 산업 단지에서 사용하여 이와 관련한 에너지 절감 포인트를 찾고자 유사한 에너지 유틸리티를 사용하는 기업 간의 "공유 네트워크 유틸리티 플랜트"를 통해 문제점을 개선하고자 하였다. 이러한 에너지 절감을 위해서 활용하는 다양한 기법들과 공장의 안정적인 운영을 위해서는 데이터의 안정적 수급이 그 무엇보다 중요하다. 그를 위해 데이터를 안정적으로 수급할 수 있는지에 대해 알아볼 수 있는 이상 데이터 감지 시스템과 알림 시스템의 대다수는 에너지 관리 시스템에 종속되어 한계가 있었고 에너지 관리 시스템의 구축은 대단위 시스템의 구축으로 공간, 에너지적 한계가 있는 소형 공장에서 구축이 어려웠다. 본 논문에서는 문제점들을 극복하고자 적은 공간과 전력을 소비하는 임베디드 디바이스에 데이터 수집 시스템과 이상 데이터 감지 알림 시스템를 구축하고, 데이터 수집을 하는 보편적인 기관에서 이상 데이터 감지 알림 시스템의 활용 가능성과 구축 과정에 대한 연구를 수행하였다.

개심술 전후 방사성 동위원소를 이용한 심기능 평가에 관한 연구 -수술전 shunt 의 진단 및 교정수술후의 성적평가에 대하여- (Evaluation of Cardiac Function Using Radioisotope before and after Open Heart Surgery -Detection of Preoperative Cardiac Shunt and Postoperative Remnant Shunt by Nuclear Angiocardiography-)

  • 서경필
    • Journal of Chest Surgery
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    • 제15권2호
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    • pp.194-203
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    • 1982
  • In this investigation we undertook to evaluate the utility of radionuclide cardiac angiography in the detection of cardiac shunts before and after surgical correction. Time-activity curves of ventricles and lungs were evaluated after bolus intravenous injection of 99mTc-human serum albumin in 512 preoperative patients and 551 post-operative patients. Omitting 31 cases of technical failure due to poor bolus, we detected shunts in 459 cases of 481 preoperative evaluations, so the detectability was 95.4%. The cases which couldn`t be detected by this method had small amount of shunt. Also the degree of shunt detected by radioisotope methods were well correlated with oxymetry method. [r=0.89, p<0.01 ] In postoperative evaluations, 18 out of 411 patients with left to right shunt and 10 out of 140 right to left shunt were found to have remnant shunts with radionuclide cardiac angiography. Of the 28 cases with failed operation, 2 were confirmed in reoperation, 2 by cardiac catheterization, 2 by two -dimensional echocardiography. All except one .f these patients had membranous ventricular septal defects and those with left to right shunts had moderate to severe pulmonary hypertension and shunt amount. Also those had larger septal defects than control group. We consider that radionuclide cardiac angiography is a simple and noninvasive method which can show the preoperative diagnosis and postoperative follow up of cardiac shunts.

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전압 불평형과 발전기 출력 변동을 이용한 분산전원의 단독운전 판단 기법 (Islanding detection method for distributed generations using the change of the voltage unbalance and the output power of DG)

  • 강용철;장성일;이지훈;차선희;김연희;이병은;김용균
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 제37회 하계학술대회 논문집 A
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    • pp.240-241
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    • 2006
  • Islanding operations of DG usually occur when power supply from the main utility is interrupted due to several reasons but the DG keeps supplying power into the distribution networks. These kinds of islanding conditions cause negative impacts on protection, operation, and management of distribution systems. Therefore, it is necessary to effectively detect the islanding conditions and swiftly disconnect DG from distribution network. This paper proposes the islanding detection algorithm for DG using the change of the voltage unbalance and the output power of DG. The proposed method effectively combines the conventional parameters for detecting the islanding conditions. The proposed methods were verified using the radial distribution network of IEEE 34 bus.

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적응 뉴로 퍼지 추론 시스템을 이용한 고임피던스 고장검출 (Detection of High Impedance Fault Using Adaptive Neuro-Fuzzy Inference System)

  • 유창완
    • 한국지능시스템학회논문지
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    • 제9권4호
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    • pp.426-435
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    • 1999
  • A high impedance fault(HIF) is one of the serious problems facing the electric utility industry today. Because of the high impedance of a downed conductor under some conditions these faults are not easily detected by over-current based protection devices and can cause fires and personal hazard. In this paper a new method for detection of HIF which uses adaptive neuro-fuzzy inference system (ANFIS) is proposed. Since arcing fault current shows different changes during high and low voltage portion of conductor voltage waveform we firstly divided one cycle of fault current into equal spanned four data windows according to the mangnitude of conductor voltage. Fast fourier transform(FFT) is applied to each data window and the frequency spectrum of current waveform are chosen asinputs of ANFIS after input selection method is preprocessed. Using staged fault and normal data ANFIS is trained to discriminate between normal and HIF status by hybrid learning algorithm. This algorithm adapted gradient descent and least square method and shows rapid convergence speed and improved convergence error. The proposed method represent good performance when applied to staged fault data and HIFLL(high impedance like load)such as arc-welder.

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A Sensitive Procedure for the Rapid Determination of Mandelic Acid by Flow Injection Analysis and Chemiluminescence Detection

  • Alam, Seikh Mafiz;Jeon, Chi-Wan;Karim, Mohammad Mainul;Lee, Sang-Hak;Wabaidur, Saikh Mohammad;Suh, Yeoun-Suk;Chung, Hye-Young
    • Bulletin of the Korean Chemical Society
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    • 제30권1호
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    • pp.102-106
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    • 2009
  • A rapid and sensitive chemiluminescence (CL) method using flow-injection (FI) has been developed for the determination of mandelic acid which is based on the enhancement of mandelic acid to the CL intensity of ${Ru(bipy)_{3}}^{2+}$-Ce(IV) system. The enhancement effect was dependent on the concentration of mandelic acid, based on which, CL system was established for the determination of mandelic acid. The concentrations of ${Ru(bipy)_{3}}^{2+}$+, Ce(IV), and $H_2SO_4$ were optimized. Under the optimum experimental conditions, the linear range and detection limit are 1.46-342.0 ${\mu}g/ml$ and 0.072 ${\mu}g/ml$, respectively. The correlation coefficient (R) was 0.99732. The utility of this method was demonstrated by determining mandelic acid in capsules and human urine sample.

Simple and Rapid Identification of Low Level Hepatitis B Virus DNA by the Nested Polymerase Chain Reaction

  • Jang, Jeong-Su;Lee, Kong-Joo
    • Archives of Pharmacal Research
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    • 제19권6호
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    • pp.469-474
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    • 1996
  • A rapid and sensitive method has been developed to detect hepatitis B virus DNA (HBV) by nested polymerase chain reaction (PCR) technique with primers specific for the surface and core regions in capillary thermal cycler within 80 min. The lower limit for detection by present PCR method is $10^{-5}$ pg of recombinant HBV DNA which is equivalent to that determined by one round of PCR amplification and Southern blot hybridization analysis. When boiled HBV positive serum was serially diluted 10-fold, HBV DNA was successfully determined in $1{\mu}l-10^{-3}$ of serum. HBV DNA was detected by present method in 69 clinical samples including HBsAg positives and negatives by enzyme-linked immunosorbent assay (ELISA). When serum samples were amplified by nested PCR using surface and core region primers, HBV DNAs were detected in 37 of 69 samples (53.6%) and 18 of 69 samples (26.1%), respectively. These results can inform the infectious state of HBsAg positive pateints. A simple and rapid nested PCR protocol by using boiled serum as DNA template has been described for the clinical utility to determine HBV DNA in human serum.

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몰포러지 신경망 기반 딥러닝 시스템 (Deep Learning System based on Morphological Neural Network)

  • 최종호
    • 한국정보전자통신기술학회논문지
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    • 제12권1호
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    • pp.92-98
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    • 2019
  • 본 논문에서는 몰포러지 연산을 기본으로 하는 몰포러지 신경망(MNN: Morphological Neural Network) 기반 딥러닝 시스템을 제안하였다. 딥러닝에 사용되는 레이어는 몰포러지 레이어, 풀링 레이어, ReLU 레이어, Fully connected 레이어 등이다. 몰포러지 레이어에서 사용되는 연산은 에로전, 다이레이션, 에지검출 등이다. 본 논문에서 새롭게 제안한 MNN은 기존의 CNN(Convolutional Neural Network)을 이용한 딥러닝 시스템과는 달리 히든 레이어의 수와 각 레이어에 적용되는 커널 수가 제한적이다. 레이어 단위 처리시간이 감소하고, VLSI 칩 설계가 용이하다는 장점이 있으므로 모바일 임베디드 시스템에 딥러닝을 다양하게 적용할 수 있다. MNN에서는 제한된 수의 커널로 에지와 형상검출 등의 연산을 수행하기 때문이다. 데이터베이스 영상을 대상으로 행한 실험을 통해 MNN의 성능 및 딥러닝 시스템으로의 활용 가능성을 확인하였다.

A Quinoline carboxamide based Fluorescent Probe's Efficient Recognition of Aluminium Ion and its Application for Real Time Monitoring

  • Manivannan, Ramalingam;Ryu, Jiwon;Son, Young-A
    • 한국염색가공학회지
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    • 제32권4호
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    • pp.185-192
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    • 2020
  • A novel binding site for metal ion made by designing molecule with tetrazolo quinoline with hydrazine carboxamide (TQC) and the designed molecule successfully synthesized. The probe works by selectively detecting Al3+ ion via both fluorimetric and colorimetric approach. The probe's effectiveness towards aluminium ion detection is highly sensitive and selective with no substantial interference with other competing ions. The added Al3+ ion to TQC fetched a rapid change of visual color to yellow from colorless, also the response of fluorescence turn-on. The fluorescence turn-on and color change visibly by the probe TQC with Al3+ ion credited to the ICT phenomenon (intramolecular charge-transfer transition). The likely interaction of the probe with aluminium ion has also been there predicted from ESI-MS spectral analysis results. The usefulness of the probe confirmed by practical utility by making a test kit to monitor Al3+ ion in water which showed a naked eye detection by notable color change.

Genetic information analysis for the development of an event-specific PCR marker for herbicide tolerance LM crops

  • Do Yu, Kang;Myung Ho, Lim;Soo In, Sohn;Hyun Jung, Kang;Tae Sung, Park
    • 농업과학연구
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    • 제48권4호
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    • pp.1051-1065
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    • 2021
  • Recent times have seen sustained increases in genetically modified (GM) crops not only for cultivation but also for the utility of food and feed worldwide. Domestically, commercial planting and the accidental or unintentional release of living modified (LM) crops into the environment are not approved. Many detection methods had been devised in an effort to realize effective management of the safety of agricultural genetic resources. In order to develop event-specific polymerase chain reaction (PCR) markers for LM crops, we analyzed the genetic information of LM crops. Genetic components introduced into crops are of key importance to provide a basis for the development of detection methods for LM crops. To this end, a total of 18 varieties from four major LM crop species (maize, canola, cotton, and soybeans) were subjected to an analysis. The genetic components included introduced genes, promoters, terminators and selection markers. Thus, if proper monitoring techniques and single or multiplex PCR strategies that rely on selection markers can be established, such an accomplishment can be regarded as a feasible solution for the safe management of staple crop resources.