• 대한안전경영과학회지
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• 제18권3호
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• pp.9-15
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• 2016

Currently the forest area is 6,370,000 hectare (ha) which occupies 63.7% in Korea. The forest has good functions such as production of forest products, conservation of national land, prevention of disasters, etc. However constructing houses near the forest area make bad situation like illegal waste incineration by resident. So research subject is forest fire caused by waste incineration place including facility. And this study was conducted about statistical analysis and research analysis of the 100 waste incineration places including facilities at the country town. Statistical analysis shows that March is 27% which percentage is the highest number of forest fire in 10 years' average. The number of forest fire caused by waste incineration is 45 which is the third highest number in the fire statistic. The distance between waste incineration place including facility and forest area is 30m, 40m and 50m. That 40m (36%) is the most common distance from forest area. The types of waste incineration are ground (62%), the temporary facility made with oil drum can (35%) and other made with steel sheet, concrete, etc. The result of this study is that government and local government must conduct the improvement measure to reduce illegal incineration such as waste pickup area made with rain and wind proof type installed near residence, expenses for waste treatment, enlightenment and training, etc. Also considering their age and income are needed for realistic improvement.

• 한국안전학회지
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• 제25권6호
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• pp.98-102
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• 2010

LPG (Liquefied Petroleum Gas) vehicles in metropolitan area are being applied to improve air quality and have been proven effective for the reduction of air pollutant. In addition, the demand of gas as an eco-friendly energy source has being increased. With the LPG filling station is also increasing every year. These gas stations are required to install the securest storage tank because of possibility of causing huge loss of life and property. Therefore, in this paper, underground containment type is proposed as installation of the LPG storage tank using Taguchi method, which is considered to be more safe, economical, efficient, easy checking and simple construction method than any other. If leakage, economics, real estate utilization rate, safety, easy to check, simple construct about above ground, buried underground and underground containment storage tank are analyzed by Taguchi method, real estate utilization rate, economic and safety in turn are improved. Therefore, the underground containment storage tank is a optimal installation technology.

• Wind and Structures
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• 제9권1호
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• pp.37-58
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• 2006

The paper describes a study about effects of upstream hills on design wind loads using two mathematical approaches: Computational Fluid Dynamics (CFD) and Artificial Neural Network (NN for short). For this purpose CFD and NN tools have been developed using an object-oriented approach and C++ programming language. The CFD tool consists of solving the Reynolds time-averaged Navier-Stokes equations and $k-{\varepsilon}$ turbulence model using body-fitted nearly-orthogonal coordinate system. Subsequently, design wind load parameters such as speed-up ratio values have been generated for a wide spectrum of two-dimensional hill geometries that includes isolated and multiple steep and shallow hills. Ground roughness effect has also been considered. Such CFD solutions, however, normally require among other things ample computational time, background knowledge and high-capacity hardware. To assist the enduser, an easier, faster and more inexpensive NN model trained with the CFD-generated data is proposed in this paper. Prior to using the CFD data for training purposes, extensive validation work has been carried out by comparing with boundary layer wind tunnel (BLWT) data. The CFD trained NN (CFD-NN) has produced speed-up ratio values for cases such as multiple hills that are not covered by wind design standards such as the Commentaries of the National Building Code of Canada (1995). The CFD-NN results compare well with BLWT data available in literature and the proposed approach requires fewer resources compared to running BLWT experiments.

• 한국항공운항학회지
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• 제22권4호
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• pp.87-92
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• 2014

In spite of ICAO's effort to ensure the safety of flight operation by requiring crews, controllers, and other ground aviation staffs to use unified system for units, SI (System International of units), there are still many aircrafts designed, manufactured, and operated based on non-SI units, and many crew training in airline companies are also conducted based on non-SI. Due to this confusion of using different unit systems in international flight operation, many crew members and passengers are exposed to danger. International flights pilots may have confusion while flying different airspaces of different countries that use different unit systems, and this may cause human errors causing accidents and incidents. Due to these reasons, it is needed to establish the standards to reflect non-SI that many countries practically use to SI, which is international standard.

• 한국항공운항학회지
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• 제16권1호
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• pp.18-28
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• 2008

The purpose of this study is leading to prevent the major causes of commercial-aviation fatalities about controlled-flight-into-terrain(CFIT) in approach-and-landing accidents. The paper of major analysis for controlled flight into terrain(CFIT) was Guam accident, Mokpo accident and Gimhae accident in commercial transport-aircraft accidents from 1993 through 2002. CFIT occurs when an airworthy aircraft under the control of the flight crew is flown unintentionally into terrain, obstacles or water, usually with no prior awareness by the crew. This type of accident can occur during most phases of flight, but CFIT is more common during the approach-and-landing phase. Ninety-five percent of the Guam accident, Mokpo accident, and Gimhae accident where weather was known involved IMC, fog, and rain. The paper believed that prevention for CFIT accident was education and training for flying crew and upgrade for equipment such as EGPWS, and need more research for professional organizations of airlines, and accomplishing precision approaches should be a high priority.

• 한국군사과학기술학회지
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• 제13권5호
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• pp.894-902
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• 2010

This paper presents a vision-based robust off-road terrain classification method against environmental variation. As a supervised classification algorithm, we applied a neural network classifier using wavelet features extracted from wavelet transform of an image. In order to get over an effect of overall image feature variation, we adopted environment sensors and gathered the training parameters database according to environmental conditions. The robust terrain classification algorithm against environmental variation was implemented by choosing an optimal parameter using environmental information. The proposed algorithm was embedded on a processor board under the VxWorks real-time operating system. The processor board is containing four 1GHz 7448 PowerPC CPUs. In order to implement an optimal software architecture on which a distributed parallel processing is possible, we measured and analyzed the data delivery time between the CPUs. And the performance of the present algorithm was verified, comparing classification results using the real off-road images acquired under various environmental conditions in conformity with applied classifiers and features. Experiments show the robustness of the classification results on any environmental condition.

• 한국운동역학회지
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• 제30권2호
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• pp.165-172
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• 2020

Objective: The purpose of this study was to provide quantitative and objective data of throwing movement in baseball catcher through biomechanical analysis. Method: Eight high school baseball catchers (age: 17.3±0.7 yrs, height: 175.3±4.5 cm, weight: 82.5±9.0 kg, Career: 7.4±2.1 yrs) participated and 3-dimentional motion capture system and electromyography (EMG) were used in this study. Results: The maximum center of mass position displacement was observed in forward direction. The linear velocity magnitude of the upper extremity segments were showed as "wrist>elbow>shoulder" which is indicative of kinematic chain. For kinetic EMG data, we also observed the greater muscle activation in the left brachioradial and erector spine muscles muscle that during throwing movement. Conclusion: We expect that biomechanical data from this study will provide important training implications to baseball coaches and trainers in order to effectively train their baseball catchers.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2014년도 춘계학술발표대회
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• pp.904-907
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• 2014

In this work we present a robust and fast approach to estimate 3D vehicle pose that can provide results under a specific traffic surveillance conditions. Such limitations are expressed by single fixed CCTV camera that is located relatively high above the ground, its pitch axes is parallel to the reference plane and the camera focus assumed to be known. The benefit of our framework that it does not require prior training, camera calibration and does not heavily rely on 3D model shape as most common technics do. Also it deals with a bad shape condition of the objects as we focused on low resolution surveillance scenes. Pose estimation task is presented as PnP problem to solve it we use well known "POSIT" algorithm [1]. In order to use this algorithm at least 4 non coplanar point's correspondence is required. To find such we propose a set of techniques based on model and scene geometry. Our framework can be applied in real time video sequence. Results for estimated vehicle pose are shown in real image scene.

• The Journal of Korean Physical Therapy
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• 제31권4호
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• pp.236-241
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• 2019

Purpose: This study examined the effects of aquatic proprioceptive neuromuscular facilitation pattern exercise on the balance, gait ability, and depression in patients with chronic stroke. Methods: Thirty patients with chronic stroke were assigned randomly to an experimental (n=15) or control (n=15) group. The experimental group performed aquatic proprioceptive neuromuscular facilitation pattern exercise. The control group performed ground proprioceptive neuromuscular facilitation pattern exercise. Training was conducted once a day for 30 minutes, five days per week for six weeks. The balance ability was measured using the Berg balance scale. The gait ability was measured using the 10 Meter walk test. Depression was measured using the Beck depression inventory. Results: As a result of a comparison within groups, the experimental and control group showed a significant difference for balance, gait ability, and depression after the experiment (p<0.05). In a comparison between the two groups, the experimental group, in which aquatic proprioceptive neuromuscular facilitation pattern exercise was applied, showed more significant changes in balance, gait ability, and depression than the control group (p<0.05). Conclusion: Based on these results, aquatic proprioceptive neuromuscular facilitation pattern exercise effectively improved the balance, gait ability and depression in patients with chronic stroke.

• Structural Engineering and Mechanics
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• 제68권6호
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• pp.691-700
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• 2018

Ground granulated blast furnace slag (GGBS) is a by product obtained from iron and steel industries, useful in the design and development of high quality cement paste/mortar and concrete. This paper investigates the applicability of relevance vector machine (RVM) based regression model to predict the compressive strength of various GGBS based concrete mixes. Compressive strength data for various GGBS based concrete mixes has been obtained by considering the effect of water binder ratio and steel fibres. RVM is a machine learning technique which employs Bayesian inference to obtain parsimonious solutions for regression and classification. The RVM is an extension of support vector machine which couples probabilistic classification and regression. RVM is established based on a Bayesian formulation of a linear model with an appropriate prior that results in a sparse representation. Compressive strength model has been developed by using MATLAB software for training and prediction. About 70% of the data has been used for development of RVM model and 30% of the data is used for validation. The predicted compressive strength for GGBS based concrete mixes is found to be in very good agreement with those of the corresponding experimental observations.