• Title/Summary/Keyword: Altitude training

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Night fire fighting helicopters operations and Aviation Safety (야간산불진화 헬기 운영과 항공안전)

  • Choi, Youn-Chul
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.22 no.1
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    • pp.145-151
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    • 2014
  • Not only in Korea, but also in other countries, most helicopter accidents occur at low altitude. Analysis on accidents data collected both in Korea and other countries has brought two conclusions. Firstly, helicopter operations during the night hours carries a high risk. Secondly, the most common cause of night hour operations is loss of control due to the flight illusion. As an operation relying on a night vision in particular has a very high accident hazard, accompanying instruments such as NVG are ought to be provided. Hence, a thorough preparation and inspection on missions for night forest fire extinguishing should be required and perfect guidelines/road maps and enough training programs for the operation should be provided before the engagement in missions.

A Review of Safety and Quality Issues in the Construction Industry

  • Ogwueleka, Amaka Chinweude
    • Journal of Construction Engineering and Project Management
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    • v.3 no.3
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    • pp.42-48
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    • 2013
  • Construction industry is considered as the most hazardous industry due to its unique nature. Safety and quality management are essential to control hazards and improve success in project implementation. This paper focuses on evaluating the crucial factors influencing safety and quality management in construction projects. In order to achieve this, the qualitative and quantitative approaches were used for data collection. The findings of this study reveal the crucial safety factors as management commitment, safety awareness of top management practices/ procedures/ reviews, and errors in judgement or carelessness. Project supervision, employee involvement/ altitude, and expertise knowledge/ training were considered as the crucial quality factors influencing safety and quality management. The study shows that safety and quality issues cannot be overlooked therefore proper implementation is paramount to achieve project success.

Physical and Mechanical Properties of Quercus serrata according to Stand Characteristics in Southern Region of Korea (남부지역 졸참나무의 임분 특성에 따른 물리·역학적 특성)

  • Won, Kyung-Rok;Hong, Nam-Euy;Lee, Kwang-Soo;Jung, Soo-Yung;Yoo, Byung-Oh;Park, Young-Bae;Chong, Song-Ho;Byeon, Hee-Seop
    • Journal of the Korean Wood Science and Technology
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    • v.42 no.6
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    • pp.659-665
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    • 2014
  • Wood properties are affected by environmental factors such as soil and climate change. There were close relationships between mechanical properties and stand characteristics for Quercus serrata stands in Gyeongsangnam-do Province, Jeollanam-do Province and Je-ju island. Both compression and shear strengths of woods showed a negative correlation with diameter at breast height (DBH) and the number of tree per hector, while they are positively related with with tree age, altitude, and drainage. The annual ring width was also negatively correlated with tree age, altitude, drainage, DBH, and tree height. However, anatomical characteristics of wood did not show much variation depending on the provincial regions. These results brought a conclusion that Quercus serrata in southern region could be useful forest resources for the utilization of wood.

Application of Statistical and Machine Learning Techniques for Habitat Potential Mapping of Siberian Roe Deer in South Korea

  • Lee, Saro;Rezaie, Fatemeh
    • Proceedings of the National Institute of Ecology of the Republic of Korea
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    • v.2 no.1
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    • pp.1-14
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    • 2021
  • The study has been carried out with an objective to prepare Siberian roe deer habitat potential maps in South Korea based on three geographic information system-based models including frequency ratio (FR) as a bivariate statistical approach as well as convolutional neural network (CNN) and long short-term memory (LSTM) as machine learning algorithms. According to field observations, 741 locations were reported as roe deer's habitat preferences. The dataset were divided with a proportion of 70:30 for constructing models and validation purposes. Through FR model, a total of 10 influential factors were opted for the modelling process, namely altitude, valley depth, slope height, topographic position index (TPI), topographic wetness index (TWI), normalized difference water index, drainage density, road density, radar intensity, and morphological feature. The results of variable importance analysis determined that TPI, TWI, altitude and valley depth have higher impact on predicting. Furthermore, the area under the receiver operating characteristic (ROC) curve was applied to assess the prediction accuracies of three models. The results showed that all the models almost have similar performances, but LSTM model had relatively higher prediction ability in comparison to FR and CNN models with the accuracy of 76% and 73% during the training and validation process. The obtained map of LSTM model was categorized into five classes of potentiality including very low, low, moderate, high and very high with proportions of 19.70%, 19.81%, 19.31%, 19.86%, and 21.31%, respectively. The resultant potential maps may be valuable to monitor and preserve the Siberian roe deer habitats.

Analysis and Detection Method for Line-shaped Echoes using Support Vector Machine (Support Vector Machine을 이용한 선에코 특성 분석 및 탐지 방법)

  • Lee, Hansoo;Kim, Eun Kyeong;Kim, Sungshin
    • Journal of the Korean Institute of Intelligent Systems
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    • v.24 no.6
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    • pp.665-670
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    • 2014
  • A SVM is a kind of binary classifier in order to find optimal hyperplane which separates training data into two groups. Due to its remarkable performance, the SVM is applied in various fields such as inductive inference, binary classification or making predictions. Also it is a representative black box model; there are plenty of actively discussed researches about analyzing trained SVM classifier. This paper conducts a study on a method that is automatically detecting the line-shaped echoes, sun strobe echo and radial interference echo, using the SVM algorithm because the line-shaped echoes appear relatively often and disturb weather forecasting process. Using a spatial clustering method and corrected reflectivity data in the weather radar, the training data is made up with mean reflectivity, size, appearance, centroid altitude and so forth. With actual occurrence cases of the line-shaped echoes, the trained SVM classifier is verified, and analyzed its characteristics using the decision tree method.

Application of neural network for airship take-off and landing system by buoyancy change

  • Chang, Yong-Jin;Woo, Gui-Aee;Kim, Jong-Kwon;Cho, Kyeum-Rae
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.333-336
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    • 2003
  • For long time, the takeoff and landing control of airship was worked by human handling. With the development of the autonomous control system, the exact controls during the takeoff and landing were required and lots of methods and algorithms were suggested. This paper presents the result of airship take-off and landing by buoyancy control using air ballonet volume change and performance control of pitch angle for stable flight within the desired altitude. For the complexity of airship's dynamics, firstly, simple PID controller was applied. Due to the various atmospheric conditions, this controller didn’t give satisfactory results. Therefore, new control method was designed to reduce rapidly the error between designed trajectory and actual trajectory by learning algorithm using an artificial neural network. Generally, ANN has various weaknesses such as large training time, selection of neuron and hidden layer numbers required to deal with complex problem. To overcome these drawbacks, in this paper, the RBFN (radial basis function network) controller developed.

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GIS-based Landslide Susceptibility Mapping of Bhotang, Nepal using Frequency Ratio and Statistical Index Methods

  • Acharya, Tri Dev;Yang, In Tae;Lee, Dong Ha
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.35 no.5
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    • pp.357-364
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    • 2017
  • The purpose of the study is to develop and validate landslide susceptibility map of Bhotang village development committee, Nepal using FR (Frequency Ration) and SI (Statistical Index) methods. For the purpose, firstly, a landslide inventory map was constructed based on mainly high resolution satellite images available in Google Earth Pro, and rest fieldwork as verification. Secondly, ten conditioning factors of landslide occurrence, namely: altitude, slope, aspect, mean topographic wetness index, landcover, normalized difference vegetation index, dominant soil, distance to river, distance to lineaments and rainfall, were derived and used for the development of landslide susceptibility map in GIS (Geographic Information System) environment. The landslide inventory of total 116 landslides was divided randomly such that 70% were used for training and remaining 30% for validating result by receiver operating characteristics curve analysis. The area under the curve were found to be greater than 0.7 indicating an acceptable susceptibility maps obtained using FR and SI methods in GIS for hilly region of Nepal.

Launch and Early Orbit Phase Simulations by using the KOMPSAT Simulator

  • Lee, Sanguk;Park, Wan-Sik;Lee, Byoung-sun;Lee, Ho-Jin;Park, Hanjun
    • 제어로봇시스템학회:학술대회논문집
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    • 1999.10a
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    • pp.33-36
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    • 1999
  • The KOMPSAT, which is scheduled to be launched by Taurus launch vehicle in late November of 1999, will be in a sun-synchronous orbit with an altitude of 685km, eccentricity of 0.001, inclination of 98deg and local time of ascending node of 10:50 a.m. Electronics and Telecommunications Research Institute and Daewoo Heavy Industry had jointly developed a KOMPSAT Simulator as a component of the KOMPSAT Mission Control Element. The MCE had been delivered to Korea Aerospace Research Institute for the KOMPSAT ground operation. It is being used for training of KOMPSAT ground station personnel. Each of satellite subsystems and space environment were mathematically modeled in the simulator. To verify the overall function of KOMPSAT simulator, a Launch and Early Orbit Phase(LEOP) operation simulations have been performed. The simulator had been verified through various tests such as functional level test, subsystem test, interface test, system test, and acceptance test. In this paper, simulation results for LEOP operations to verify flight software adapted into simulator, satellite subsystem models and environment models are presented.

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Development of the Three Dimensional Landform Display Software Using the Digital Terrain Model (수치지형정보를 애용한 지형의 3차원 표현 software 개발)

  • 이규석
    • Journal of the Korean Institute of Landscape Architecture
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    • v.17 no.3
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    • pp.1-8
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    • 1990
  • The digital terrain model (DTM) or digital elevation model (DEM) is commonly used in representing the continuous variation of relief over space. One of the most frequent applications is to display the three dimensional view of the landform concerned. In this paper, the altitude matrices-regular grid cell format of the elevation in Mt. Kyeryong National Park were used in developing the three dimensional view software for the first time in Korea. It required the removal of hidden lines or surfaces. To do this, it was necessary to identify those surfaces and line segments that are visible and those that are invisible. Then, only the visible portions of the landform were displayed. The assumption that line segments are used to approximate contour surfaces by polygons was used in developing the three dimensional orthographic view. In order to remove hidden lines, the visibility test and masking algorithms were used. The software was developed in the engineering workstation, SUN 3/280 at the Institute of Space Science and Astronomy using 'C' in UNIX operating system. The software developed in this paper can be used in various fields. Some of them are as follows : (1) Landscape design and planning for identifying viewshed area(line of sight maps) (2) For planning the route selection and the facility location (3) Flight simulation for pilot training (4) Other landscape planning or civil engineering purposes

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Analysis of Aircraft Upset through TEM and Improvement of UPRT (항공기 비정상 자세 사고의 TEM 분류 및 UPRT 향상에 관한 연구)

  • Choi, Jin-Kook;Jeon, Seung-Joon
    • The Journal of the Korea Contents Association
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    • v.19 no.11
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    • pp.365-374
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    • 2019
  • Loss of Control in Flight(LOC-I) due to aircraft upset attitude has the highest air accident rate, and International Aviation Institute such as ICAO and FAA recommended flight crew to operate aircraft safely through UPRT(Upset Prevention & Recovery Training) program. ICAO has selected Loss of Control(LOC) as key safety indicator, and recommended to respond using TEM(Threat and Error Management). However there are not much specific treats and errors classified for UPRT programs using real TEM based on evidences. This study intends to consider the importance of UPRT through the introduction of UPRT and accident analysis using TEM. Typical upset accidents were classified to common threats as IFR, inadequate training, Automation surprise, and inexperienced copilots. The common errors were cross-check, speed and altitude deviation, callouts, communication, thrust and stall action fail. The undesired aircraft states were inadequate automation mode, Deviation of speed and vertical, stall, and crash. These suggest areas to improve UPRT.