• 제목/요약/키워드: Machine property

검색결과 462건 처리시간 0.025초

Core Material Design of a High Performance Rotating Machine Considering Magnetic Anisotropy

  • Ikariga Atsushi;Enokizono Masato;Shimoji Hiroyasu;Yamashiro Hirofumi
    • KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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    • 제5B권3호
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    • pp.248-252
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    • 2005
  • This paper deals with a new design method for a small-size rotating machine with high power. In order to achieve high performance, secondary excitation by Nd-Fe-B magnets and the grain oriented electrical steel sheets were selected and a new design using dual rotors is proposed. The outline of the high-performance rotating machine will be presented and the results of the finite element analysis by using this method combined with the E&SS modeling will be shown in the paper.

기업 보안을 위한 융합보안 컴플라이언스 관리 모델에 관한 연구 (A Study on A Model of Convergence Security Compliance Management for Business Security)

  • 김민수
    • 융합보안논문지
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    • 제16권5호
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    • pp.81-86
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    • 2016
  • 최근 지속적으로 발생하는 보안위협은 기업의 비즈니스 연속성을 저해할 뿐만 아니라 사회적 국가적 차원에서도 그 심각성이 높아지고 있는 실정이다. 이러한 보안위협은 기업과 국가 간 경쟁력이 심화 되면서 기업의 지적 재산권 침해가 지속적으로 증가함에 따라, 기업들은 다양한 IT 컴플라이언스(compliance) 법제들에 대하여 의무적 준수와 더불어 엄격한 법적 책임을 부담하여야 한다. 따라서 본 연구에서는 기업의 능동적인 IT 컴플라이언스 활용을 위해 머신러닝(machine learning) 기술을 이용한 융합보안 컴플라이언스 관리 모델을 제안하고자 한다.

유전자 알고리즘을 이용한 유도 전동기의 벡터 제어 (Vector control of the induction machine by an genetic algorithm)

  • 도병조;고재호;임화영
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 B
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    • pp.853-855
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    • 1999
  • The induction machine has been used frequently for the system that needs static speed because of its simplicity, durability, credibility and efficiency. But it is nonlinear system for its multi-variable interference. Its controller is more complicated than DC machine's one. So vector control method is needed for its high Performance control. This paper shows that vector control algorithm could be more fast and stable by using Genetic algorithm (GA) based upon Darwin's evolution theory and Mendel's genetics. Methods proposed in here are used to design induction machine's vector controller and to use GA for optimizing the controller's parameter. SIMULINK of MATLAB is used for analysis and conviction of control property

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ADINA FSI를 활용한 원심주조기 폭발사고 원인 규명에 관한 법공학적 연구 (Forensic Engineering Study on the Explosion Accident Investigation of the Centrifugal Casting Machine Using ADINA FSI)

  • 김의수;김종혁;김무곤
    • 한국안전학회지
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    • 제26권4호
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    • pp.27-33
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    • 2011
  • Forensic Engineering is the area covering the investigation of products, structures that fail to perform or do not function as intended, causing personal injury or damage to property. To investigate explosion accident of the centrifugal casting machine in terms of the forensic engineering, in this paper, the computing simulation using ADINA FSI has performed to investigate that the effect of the Check-Pin fracture by the flow phenomena and molten metal weight and the mechanical properties test of the accident Check-Pin has performed using the instrumented indentation technique. Through these studies, the safety accident that may occur in centrifugal casting machine can be minimized by performing specialized and systematic investigation of the accident cause in terms of the forensic engineering.

Fire Detection Based on Image Learning by Collaborating CNN-SVM with Enhanced Recall

  • Yongtae Do
    • 센서학회지
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    • 제33권3호
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    • pp.119-124
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    • 2024
  • Effective fire sensing is important to protect lives and property from the disaster. In this paper, we present an intelligent visual sensing method for detecting fires based on machine learning techniques. The proposed method involves a two-step process. In the first step, fire and non-fire images are used to train a convolutional neural network (CNN), and in the next step, feature vectors consisting of 256 values obtained from the CNN are used for the learning of a support vector machine (SVM). Linear and nonlinear SVMs with different parameters are intensively tested. We found that the proposed hybrid method using an SVM with a linear kernel effectively increased the recall rate of fire image detection without compromising detection accuracy when an imbalanced dataset was used for learning. This is a major contribution of this study because recall is important, particularly in the sensing of disaster situations such as fires. In our experiments, the proposed system exhibited an accuracy of 96.9% and a recall rate of 92.9% for test image data.

CISG 제42조 (1)항의 매도인의 책임에 관한 소고 (A Study on the Seller's Liability under Article 42(1) of the CISG)

  • 허광욱
    • 무역상무연구
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    • 제60권
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    • pp.47-77
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    • 2013
  • The way for seller to procure the goods for selling is to produce the goods at his own factory and to buy the manufactured goods from the other company. In order to produce the goods for selling the seller have to obtain the resource from the domestic company or overseas. In the middle of producing the goods to sell, seller may breach the right of a third party based on intellectual property rights. That is to say, seller may use the machine that has not itself been patented and use a process which has been patented by a third party. Seller may manufacture the goods which themselves are subject to the third party industrial property rights. Nowadays it is stressed the importance of intellectual property rights such as a patent, brand, and design. These factors consist of the core elements of the competitiveness of the goods. Many embedded software have been used in the various sector. So the disputes regarding to the intellectual property rights is gradually increasing in number. Article 42 of CISG defines the seller's delivery obligations and liabilities in respect to third party intellectual property rights and claims. It contains a special rule for this similar kind of defective in title, which tries to provide an proper solution to the complex problems caused by such rights and claims in international transactions. When seller will apply this clause to the business fields, there are several points to which seller should give attention. First, Intellectual property is general terms in intangible property rights, encompassing both copyright and industrial property. Which matter fall within the scope of intellectual property? The scope of intellectual property can be inferred from the relevant international conventions, which are based on broad international consensus. Second, Article 42 of CISG governs the relationship between the seller and the buyer, that is to say, questions of who has to bear the risk of third party intellectual property rights. The existence of such intellectual property rights, the remedies available and the question of acquiring goods free of an encumbrances in good faith are outside the scope of the CISG. The governing law regarding to the abovementioned matters is needed.

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닥섬유 혼합 비율에 따른 기계한지의 물리적 특성 및 인쇄성에 관한 연구 (Studies on Physical Properties and Printability of machine-made Hanji Made by Different contents of Paper Mulberry)

  • 권오훈;김현철
    • 펄프종이기술
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    • 제44권2호
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    • pp.1-7
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    • 2012
  • Hanji made of mulberry fibers has the lower printability due to their long fiber length, the diffusible property of ink, and low smoothness. This study was carried out to analyze the physical and optical properties of machine-made Hanji controlled by the different contents of paper mulberry 20, 40, 60, 80 and 100%. In this study, the results of comparing machine-made Hanji controlled by the different contents of $Paper$ $mulberry$ with commercial paper and inkjet coated paper are as following: Tearing strength of machine-made Hanji is higher than domestic paper and inkjet coated paper. By increasing paper mulberry contents of machine-made Hanji appeared that tensile strength increased and smoothness gradually decreased. Printability of machine-made Hanji is less than domestic paper and inkjet coated paper. However, there were significant possibility to use for printing paper.

윤활유 물성 측정을 위한 유전상수 센서 개발 (Development of Dielectric Constant Sensor for Measurementof Lubricant Properties)

  • 홍성호;강문식
    • Tribology and Lubricants
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    • 제37권6호
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    • pp.203-207
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    • 2021
  • This study presents the development of dielectric constant sensors to measure lubricant properties. The lubricant oil sensor is used to measure oil properties and machine conditions. Various condition monitoring methods are applied to diagnose machine conditions. Machine condition monitoring using oil sensors has advantage over other machine condition monitoring methods. The fault conditions can be noticed at the early stages by the detection of wear particles using oil sensors. Therefore, it provides an early warning in the failure procedure. A variety of oil sensors are applied to check the machine condition. Among all oil sensors, only one sensor can measure the tendency of several properties such as acidity and water content. A dielectric constant sensor is also used to measure various oil properties; therefore, it is very useful. The dielectric constant is the ratio of the capacitance of a capacitor using that material as a dielectric to that of a similar capacitor using vacuum as its dielectric. The dielectric constant has an effect on water content, contaminants, base oil, additive, and so forth. In this study, the dielectric constant sensor is fabricated using MEMS process. In the fabrication process, the shape, gap of the electrode array, and thickness of the insulation material are considered to improve the sensitivity of the sensor.

A Study on Protecting Privacy of Machine Learning Models

  • Lee, Younghan;Han, Woorim;Cho, Yungi;Kim, Hyunjun;Paek, Yunheung
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2021년도 추계학술발표대회
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    • pp.61-63
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    • 2021
  • Machine learning model gained the popularity in recent years as multi-national companies have incorporated machine learning in their services. Such service is called machine learning as a service (MLaSS). Such services are provided to users based on charge-per-query which triggers the motivations for adversaries to steal the trained victim model to reduce the cost of using the service. Therefore, it is important for companies that provide MLaSS to protect their intellectual property (IP) against adversaries. It has been arms race between the attack and defence in a context of the privacy of machine learning models. In this paper, we provide a comprehensive study of recent development in protecting privacy of machine learning models.

건물별 화재 위험도 예측 및 분석: 재산 피해액과 화재 발생 여부를 바탕으로 (Risk Prediction and Analysis of Building Fires -Based on Property Damage and Occurrence of Fires-)

  • 이인아;오형록;이준기
    • 한국빅데이터학회지
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    • 제6권1호
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    • pp.133-144
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    • 2021
  • 본 논문은 서울시에 존재하는 건물을 대상으로 화재 발생 시 재산 피해액, 화재 발생 여부를 예측하여 건물별 화재 위험도를 도출하였다. 본 연구는 건물의 특성뿐 아니라 해당 건물이 속한 행정동의 특성 및 소방 시설 접근성과 같은 변수를 활용하였다는 점에서 기존 선행연구와의 차이점을 지닌다. 앙상블 보팅(Ensemble Voting) 기법을 활용해 서로 다른 알고리즘을 병합했으며, 이를 통해 재산 피해액과 화재 발생 여부를 예측하고 변수 중요도를 추출하여 화재 위험도를 산출하는 방향으로 연구를 진행하였다. 구축된 모델을 사용하여 서울시에 존재하는 300개 건물을 대상으로 적용한 결과, 화재 위험도 1등급의 경우 건물 내 세대 수가 많으며, 관할 119안전센터가 가장 멀리 위치하는 등 화재 발생 시 그 규모를 키울 수 있는 요인들이 많은 것으로 나타났다. 반면 5등급의 경우, 주변 건물 수나 사업체 수는 많지만, 관할 119안전센터가 가장 가까이 위치해 있어 화재에 적절히 대응할 수 있는 건물들로 나타났다.