• 한국소음진동공학회논문집
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• 제18권12호
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• pp.1243-1249
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• 2008

Gear system has been widely used in industrial applications and unexpected failures of gears are not only extremely damaging but also leading to economic losses. So, early detection of fault is important for diagnosis machine condition. And acoustic emission is an efficient non-destructive testing technique fur the diagnosis of machine health and is useful technique far early detection of fault because it can find low-amplitude and high-frequency signal on account of high sensibility. Therefore, in this paper, the AE signal was measured and preprocessed using envelope analysis for gearbox with misalignment between pinion and gear. And then the gear misalignment's vibration characteristic were analyzed.

• Journal of Multimedia Information System
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• 제5권2호
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• pp.99-104
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• 2018

Phishing website has become a crucial concern in cyber security applications. It is performed by fraudulently deceiving users with the aim of obtaining their sensitive information such as bank account information, credit card, username, and password. The threat has led to huge losses to online retailers, e-business platform, financial institutions, and to name but a few. One way to build anti-phishing detection mechanism is to construct classification algorithm based on machine learning techniques. The objective of this paper is to compare different classifier ensemble approaches, i.e. random forest, rotation forest, gradient boosted machine, and extreme gradient boosting against single classifiers, i.e. decision tree, classification and regression tree, and credal decision tree in the case of website phishing. Area under ROC curve (AUC) is employed as a performance metric, whilst statistical tests are used as baseline indicator of significance evaluation among classifiers. The paper contributes the existing literature on making a benchmark of classifier ensembles for web phishing detection.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2009년도 춘계학술대회 논문집 특별세미나,특별/일반세션
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• pp.527-532
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• 2009

Recently, Interior Permanent Magnet Machine(IPM) is widely used for traction motor in the high speed train. Due to the high efficiency and high power density of the IPM, it has lots of heat sources such as iron loss and copper loss. These heat sources can cause the demagnetization of permanent magnet, losses in output power and even irreversible defect of the IPM. To prevent the power loss caused by heat sources, the accurate thermal analysis has to be carried out. For the thermal analysis of the IPM, the thermal network is designed for this traction motor. The thermal analysis has executed at rated speed operation. The result of thermal network analysis can be used for the IPM design process.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2023년도 봄 학술논문 발표대회
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• pp.361-362
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• 2023

In construction work, there is often a difference between the estimated construction period and the actual construction period. Accordingly, the project may be delayed from the scheduled date, leading to huge losses due to problems such as increased costs during construction. In this way, it is important to calculate the appropriate construction period at the project planning stage in construction work. To solve this problem, we would like to study a model that will increase the accuracy of the scheduled construction period at the project planning stage. This study compared and analyzed linear regression, Lasso regression, Ridge regression among the types of regression analysis to select an appropriate construction period prediction model to secure an appropriate construction period at the project planning stage to reduce problems during construction.

• 조명전기설비학회논문지
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• 제20권1호
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• pp.100-110
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• 2006

자속 역전식 전동기(Flux Reversal Motor: FRM)는 고정자 치 표면에 영구자석을 갖는 구조이며 회전자가 돌극 형태이므로 관성이 적고 기계적으로 강인한 특성을 지녀서 고속기로의 적용이 가능하다. 그러나 단상 FRM은 구조적 특징으로 인하여 영구자석의 감자가 쉽게 일어나며, 고속 구동시 스위칭 주파수가 커짐에 따라 철손이 크게 상승하게 된다는 한계점을 지닌다. 본 논문에서는 유한요소법을 이용하여 단상 FRM의 설계 파라미터가 전동기의 감자특성에 주는 영향을 고찰해보았고 그 해결 방안을 제시하였으며 철손 특성을 분석하였다.

• 한국펄프종이공학회:학술대회논문집
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• 한국펄프종이공학회 1999년도 Proceedings of Pre-symposium of the 10th ISWPC
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• pp.61-69
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• 1999

Contaminants such as fatty acids, triglycerides, resin acids and foam collected from a high yield sulfite weak liquor storage tank lowered the water surface tension and reduced inter-fibre bonding but also tended to benefit sheet opacity. Some common wet end additives such as defoamers and dispersants gave similar results. Lignosulfonate and naphthalene sulfonate showed little if any negative effect on both surface tension and sheet strength properties. Among the natural wood extractives. fatty acids were identified to be most detrimental followed by triglycerides and then resin acids. In order to alleviate the detrimental impact of these contaminants, membrane separation, air floatation and ozone treatment were carried out on paper machine white water samples. The effect of these treatments on removal of fatty and resin acids was quantified by a GC-Mass analysis. Reverse osmosis with a 1000 molecular weight cut off membrane failed to totally reject fatty and resin acids, but markedly reduced losses of sheet properties due to contaminants. Ozone treatment resulted in a significant increase of the surface tension and air floatation was considered to be a practical and useful method for removing fatty and resin acids from the machine white water.

• International Journal of Computer Science & Network Security
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• 제21권6호
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• pp.89-100
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• 2021

Smart Grid Network (SGN) is a next generation electrical power network which digitizes the power distribution grid and achieves smart, efficient, safe and secure operations of the electricity. The backbone of the SGN is information communication technology that enables the SGN to get full control of network station monitoring and analysis. In any network where communication is involved security is essential. It has been observed from several recent incidents that an adversary causes an interruption to the operation of the networks which lead to the electricity theft. In order to reduce the number of electricity theft cases, companies need to develop preventive and protective methods to minimize the losses from this issue. In this paper, we have introduced a machine learning based SVM method that detects malicious nodes in a smart grid network. The algorithm collects data (electricity consumption/electric bill) from the nodes and compares it with previously obtained data. Support Vector Machine (SVM) classifies nodes into Normal or malicious nodes giving the statues of 1 for normal nodes and status of -1 for malicious -abnormal-nodes. Once the malicious nodes have been detected, we have done a trust evaluation based on the nodes history and recorded data. In the simulation, we have observed that our detection rate is almost 98% where the false alarm rate is only 2%. Moreover, a Trust value of 50 was achieved. As a future work, countermeasures based on the trust value will be developed to solve the problem remotely.

• 스마트미디어저널
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• 제12권2호
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• pp.36-41
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• 2023

지원자 추적 시스템의 등장으로 온라인 채용이 활성화되면서 채용 사기가 심각한 문제로 대두되고 있다. 이 연구는 온라인 채용 환경에서 채용 사기를 탐지할 수 있는 신뢰할 수 있는 모델을 개발하여 비용 손실을 줄이고 개인 사생활 보호를 강화하고자 한다. 이 연구의 주요 기여는 데이터를 탐색적으로 분석하여 얻은 통찰력을 활용하여 어떤 채용 정보가 사기인지, 아니면 합법적인지를 구분할 수 있는 자동화된 방법론을 제공하는데 있다. 캐글에서 제공하는 채용 사기 데이터 집합인 EMSCAD를 사용하여 다양한 단일 분류기 및 앙상블 분류기 기반 머신러닝 모델을 훈련하고 평가하였으며, 그 결과로 앙상블 분류기인 랜덤 포레스트 분류기가 정확도 98.67%, F1 점수 0.81로 가장 좋은 결과를 보이는 것을 알 수 있었다.

• 해양환경안전학회지
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• 제17권1호
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• pp.83-88
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• 2011

근래에 전기추진선박의 필요성이 대두되고 있으며 특수선박을 시작으로 건조가 증가되고 있는 실정이다. 하지만 선박은 운항 환경에 따라 추진기의 출력 토크 및 속도의 변동이 심하므로 전기추진시스템에 큰 영향을 미친다. 대표적으로 출 입항시, 정상상태의 대양 항해시, 황천 항해시에 선박 추진시스템의 토크 및 속도 변동이 짧지만 빈번하게 변동하게 되므로 전기추진시스템의 전력변환장치에서 전류 및 전압파형에 고조파가 크게 포함되어 발전기, 변압기, 컨버터, 인버터 및 추진전동기에 손실의 증가, 기기의 열화 및 토크 맥동 발생 등의 좋지 않은 영향을 미치게 된다. 본 연구에서는 선박의 운항 환경에 따른 추진시스템의 전류 및 전압파형에 포함되는 고조파 함유율을 분석하였다. 분석 결과 저속 영역에서의 잦은 속도 및 부하 변동에 따라서 전동기에 공급되는 전류 및 전압 파형에 포함된 총 고조파 왜형율과 전동기의 토크 맥동이 증가됨을 확인할 수 있었다.

• 한국초전도ㆍ저온공학회논문지
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• 제19권2호
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• pp.38-43
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• 2017

The role of current lead in high-temperature superconducting synchronous machine (HTSSM) is to function as a power supply by connecting the power supply unit at room temperature with the HTS field coils at cryogenic temperature. Such physical and electrical connection causes conduction and Joule-heating losses, which are major thermal losses of HTSSM rotors. To ensure definite stability and economic feasibility of HTS field coils, quickly and smoothly cooling down the current lead is a key design technology. Therefore, in this paper, we introduce a novel concept of a cooling anchor to enhance the cooling performance of a metal current lead. The technical concept of this technology is the simultaneously chilling and supporting the current lead. First, the structure of the current lead and cooling anchor were conceptually designed for field coils for a 1.5 MW-class HTSSM. Then, the effect of this installation on the thermal characteristics of HTS coils was investigated by 3D finite element analysis.