• 제어로봇시스템학회논문지
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• 제19권8호
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• pp.718-724
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• 2013

In today's automotive industry, there exist several systems that help drivers reduce the possibility of accidents, such as the ADAS (Advanced Driver Assistance System). The ADAS helps drivers make correct and quick decisions during dangerous situations. This study analyzed the performance of the IMM (Interacting Multiple Model) method based on multiple Kalman filters using the data acquired from a driving simulator. An IMM algorithm is developed to identify the current discrete state of neighboring vehicles using the sensor data and the vehicle dynamics. In particular, the driving modes of the neighboring vehicles are classified by the cruising and maneuvering modes, and the transition between the states is modeled using a Markovian switching coefficient. The performance of the IMM algorithm is analyzed through realistic simulations where a target vehicle executes sudden lane change or acceleration maneuver.

• Structural Engineering and Mechanics
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• 제60권3호
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• pp.405-412
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• 2016

Bone is a living material with a complex hierarchical structure that gives it remarkable mechanical properties. Bone constantly undergoes mechanical. Its quality and resistance to fracture is constantly changing over time through the process of bone remodeling. Numerical modeling allows the study of the bone mechanical behavior and the prediction of different trauma caused by accidents without expose humans to real tests. The aim of this work is the modeling of the femur fracture under static solicitation to create a numerical model to simulate this element fracture. This modeling will contribute to improve the design of the indoor environment to be better safe for the passengers' transportation means. Results show that vertical loading leads to the femur neck fracture and horizontal loading leads to the fracture of the femur diaphysis. The isotropic consideration of the bone leads to bone fracture by crack propagation but the orthotropic consideration leads to the fragmentation of the bone.

• 보건교육건강증진학회지
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• 제8권1호
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• pp.5-13
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• 1991

While the threat from traditional communicable diseases have been decreasing non communicable chronic diseases are increasing due to the aging of population and change in life pattern of the people such as over intake of cholesterol and lack of physical exercise etc. On the other hand, since 1980s, AIDS is spreading rapidly throughout the globe and environmental pollution, accidents, addictive diseases such as drug abuse and alcoholism are becoming serious factors to hinder the health promotion of the people. In order to improve general public health and promote individual health status, existing program for communicable disease control by the government such as tuberculosis, leprosy, STD and acute communicable diseases should be effectively continued. In principle, effort should be placed on eradication of source of infection, reduction of communicability of source in infection, treatment of source of infection as well as increase of individual registance to the diseases through immunization and improvement of physical status. Since the pattern of illness is being shifted from communicable diseases to non communicable chronic diseases such as cancer, cerebral hemorrhage, heart disease and hypertention etc., special emphasis should be placed on the prevention and control of those adult diseases. Early detection of the patients, registration and treatment of patients and health education should be systematically developed for effective control of the diseases. In addition, program activities on MCH, nutrition, dentistry, mental health, environmental health, accident prevention. medical delivery system, health insurance. and all other health issues should be improved in order to achieve our goal of health promotion.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권7호
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• pp.1274-1292
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• 2011

Due to the variety of household electric devices and different power consumption habits of consumers at present, general home energy management (HEM) systems suffer from the lack of dynamic identification of various household appliances and a unidirectional information display. This study presented a set of intelligent interconnection network systems for electric appliances, which can measure the power consumption of household appliances through a current sensing device based on OSGi platform. The system establishes the characteristics and categories of related electric appliances, and searches the corresponding cluster data and eliminates noise for recognition functionality and error detection mechanism of electric appliances by applying the clustering algorithm. The system also integrates household appliance control network services so as to control them according to users' power consumption plans or through mobile devices, thus realizing a bidirectional monitoring service. When the system detects an abnormal operating state, it can automatically shut off electric appliances to avoid accidents. In practical tests, the system reached a recognition rate of 95%, and could successfully control general household appliances through the ZigBee network.

• 한국화재소방학회논문지
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• 제18권4호
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• pp.78-85
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• 2004

본 연구에서 Clean Room 재해사례를 분석하였고, Factory Mutual Property Loss Prevention Data Sheets(FM), Industrial Risk Insurers(IRI), NFPA Code 등의 Clean Room 설계 주요 방화기준에 대하여 비교 분석을 하였다. 그리고 화재시뮬레이션을 통한 위험성 평가를 통해서 화재 시 공조설비의 작동으로 인한 연기산란 현상으로 Clean Room 내의 피해규모가 상상을 초월하는 결과를 얻을 수 있었으며, 또한 스프링클러설비의 작동으로 열온도가 더 낮아지고, 연기의 확산속도를 더 줄여줄 수 있는 것으로 분석되었다. 따라서, Clean Room내의 화재 시 화재감지기에 의해 공조설비를 정지시키고, 스프링클러설비를 설치하는 것이 안전성을 확보하는데 중요한 요소임을 유추하였다. 그러므로 본 연구에서 Clean Room 에 대한 안전성을 확보하는데 기여하고자 한다.

• Smart Structures and Systems
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• 제6권4호
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• pp.405-421
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• 2010

This paper proposes a method for early warning of hazard for pipelines. Many pipelines transport dangerous contents so that any damage incurred might lead to catastrophic consequences. However, most of these damages are usually a result of surrounding third-party activities, mainly the constructions. In order to prevent accidents and disasters, detection of potential hazards from third-party activities is indispensable. This paper focuses on recognizing the running of construction machines because they indicate the activity of the constructions. Acoustic information is applied for the recognition and a novel pipeline monitoring approach is proposed. Principal Component Analysis (PCA) is applied. The obtained Eigenvalues are regarded as the special signature and thus used for building feature vectors. One-class Support Vector Machine (SVM) is used for the classifier. The denoising ability of PCA can make it robust to noise interference, while the powerful classifying ability of SVM can provide good recognition results. Some related issues such as standardization are also studied and discussed. On-site experiments are conducted and results prove the effectiveness of the proposed early warning method. Thus the possible hazards can be prevented and the integrity of pipelines can be ensured.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2000년도 추계학술대회 논문집
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• pp.687-690
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• 2000

Lately, many studies have been progressed for the protection human's lives and property as holding in check accidents happened by human's carelessness or mistakes. One part of these is the development of an autonomouse vehicle. General control method of vision-based autonomous vehicle system is to determine the navigation direction by analyzing lane images from a camera, and to navigate using proper control algorithm. In this paper, characteristic points are abstracted from lane images using lane recognition algorithm with sobel operator. And then the vehicle is controlled using two proposed auto-steering algorithms. Two steering control algorithms are introduced in this paper. First method is to use the geometric relation of a camera. After transforming from an image coordinate to a vehicle coordinate, a steering angle is calculated using Ackermann angle. Second one is using a neural network algorithm. It doesn't need to use the geometric relation of a camera and is easy to apply a steering algorithm. In addition, It is a nearest algorithm for the driving style of human driver. Proposed controller is a multilayer neural network using Levenberg-Marquardt backpropagation learning algorithm which was estimated much better than other methods, i.e. Conjugate Gradient or Gradient Decent ones.

• 제어로봇시스템학회논문지
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• 제18권5호
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• pp.453-464
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• 2012

This is a research of an adaptive longitudinal control system for situated cognition in wide range, traffic accidents reduction and safety driving environment by integrated system which graft a road infrastructure's information based on IT onto the intelligent vehicle combined automobile and IT technology. The road infrastructure installed by laser scanner in intersection, speed limited area and sharp curve area where is many risk of traffic accident. The road infra conducts objects recognition, segmentation, and tracking for determining dangerous situation and communicates real-time information by Ethernet with vehicle. Also, the data which transmitted from infrastructure supports safety driving by integrated with laser scanner's data on vehicle bumper.

• 센서학회지
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• 제27권4호
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• pp.221-226
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• 2018

Misfueling accidents significantly damage the engines of both gasoline and diesel vehicles, and should be avoided by rapid and accurate fuel discrimination. Gasoline fuel contains bioethanol. Thus, the detection of ethanol vapor produced by gasoline can be used to distinguish between gasoline and diesel. In the present study, Pt-doped $SnO_2$ hollow nanospheres, Mg-doped $In_2O_3$ hollow microspheres, and Pt-doped ZnO nanostructures have been used as gas sensors to discriminate between gasoline and diesel fuels. All three sensors are able to detect and discriminate between gases evaporating from gasoline and diesel. Among the sensors, the Mg-doped $In_2O_3$ hollow microspheres show a significant gas response (resistance ratio = 4.97) quickly (~3 s) after exposure to gasoline-evaporated gas at $225^{\circ}C$, but did not show any substantial response to diesel-evaporated gas. This demonstrates that gasoline and diesel fuels can be discriminated using small and cost-effective oxide semiconductor gas sensors.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2013년도 춘계학술대회
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• pp.290-293
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• 2013

끊이지 않는 차량 인명피해 사고들로 인해, 그 원인을 분석하고 방지하는 장치 및 기술들이 다양하게 나오고 있다. 그 중에서 대표적으로 블랙박스 및 후방카메라 등이 있다. 이러한 기술이 발전함에도 불구하고 차량 인명사고가 계속 발생하고 있다. 그 이유는 운전자의 부주의나 차량이 후진 시에 사람이 갑자기 차량의 뒤로 지나가거나 기존의 후방 감지시스템이 어린이들을 제대로 감지하지 못하였기 때문이다. 따라서 본 논문은 사고를 방지하기 위한 Kinect를 이용한 후방 카메라와 사고의 원인을 정확하게 밝혀주는 블랙박스를 통합한 후방 블랙박스 시스템을 설계하고자 한다.