• Title/Summary/Keyword: Danger Model

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Effects of Illumination on Satisfaction of Night Use at Urban Neighborhood Park (조명이 도시근린공원의 야간이용만족도에 미치는 영향)

  • 최연철;김진선
    • Journal of the Korean Institute of Landscape Architecture
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    • v.29 no.1
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    • pp.92-99
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    • 2001
  • This study analyzed the effects of illumination on psychological accessibility from a view of satisfaction of night use at urban neighborhood park for actual night users. For this, we have classified the effects of illumination as five sampled independent variables from 12 effects of illumination, and tested the relationship with satisfaction of night use of a dependent variable by multiple regression analysis. The results of this study are as follows; 1) The effects of illumination for night use at urban neighborhood park were divided into five factors; (1) direct effect, (2) effect of promoting use, (3) effect of ensuring security, (4) effect of preparing landscape in the night time, and (5) psychological effect. Among independent variables indicating characteristics of effects of each illumination, uneasiness at night use was high. 2) In a multiple regression model, when other conditions were not changed, the value of security of night use (X\ulcorner) had maximumly an affect on the value of dependent. And, the value of danger to meet the depraved(X\ulcorner) had minimally an affect on the value of dependent variable. 3) For the contribution of security of nigh use(X\ulcorner) and brightness of present using space(X$_4$) to satisfaction of night use(Y) of dependent variable, they had a nearly equal effect on that, and showed about 2 times importance compared to familiarity with park(X\ulcorner) and the beauty of park(X\ulcorner). Also, they showed about 7 times contribution to satisfaction of night use compared to danger to meet the depraved(X\ulcorner), which had minimally an affect on the value of dependent variable, as the most important variables. 4) For the effects of illumination on satisfaction of night use, the effect of ensuring security - pursues security of park for the general rather than security for the specific class or subject - and direct effect to offer proper brightness in using space relatively affected on it much compared to psychological effect, effect of preparing landscape in night time, and effect of promoting use. A research on the psychological effects among the variables related to illumination as well as physical circumstances such as the height, location, direction of illumination should be studied.

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A Study on the Analysis of Present Navigation Method at the Ulsan waterways from the viewpoint of Pilot (도선사의 관점에서 본 울산항 도선구의 통항 현황 분석에 관한 연구)

  • Choi, Kei-Yel;Lee, Dong-Sup;Park, Young-Soo
    • Journal of Navigation and Port Research
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    • v.35 no.6
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    • pp.469-475
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    • 2011
  • Ulsan pilotage is one of the most busy pilots boarding among the korean pilotages. The route layout of ulsan port is simple but the complex degree of marine traffic flow is high because there are many navigating ships from/to piers and anchorages nearby route. So, this paper is surveyed and analysised the navigating dangerous factors as to navigation danger elements in/near the route, the proper distance between piers at the ulsan waterways. And this research assures the same place where shiphandling bunder is occurred to compare the danger sense of pilot with environment stress to represented the mariner's shiphandling stress quantitatively at the ulsan route.

Developing Fire-Danger Rating Model (산림화재예측(山林火災豫測) Model의 개발(開發)을 위(爲)한 연구(硏究))

  • Han, Sang Yeol;Choi, Kwan
    • Journal of Korean Society of Forest Science
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    • v.80 no.3
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    • pp.257-264
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    • 1991
  • Korea has accomplished the afforestation of its forest land in the early 1980's. To meet the increasing demand for forest products and forest recreation, a development of scientific forest management system is needed as a whole. For this purpose the development of efficient forestfire management system is essential. In this context, the purpose of this study is to develop a theoretical foundation of forestfire danger rating system. In this study, it is hypothesized that the degree of forestfire risk is affected by Weather Factor and Man-Caused Risk Factor. (1) To accommodate the Weather Factor, a statistical model was estimated in which weather variables such as humidity, temperature, precipitation, wind velocity, duration of sunshine were included as independent variables and the probability of forestfire occurrence as dependent variable. (2) To account man-caused risk, historical data of forestfire occurrence was investigated. The contribution of man's activities make to risk was evaluated from three inputs. The first, potential risk class is a semipermanent number which ranks the man-caused fire potential of the individual protection unit relative to that of the other protection units. The second, the risk sources ratio, is that portion of the potential man-caused fire problem which can be charged to a specific cause. The third, daily activity level is that the fire control officer's estimate of how active each of these sources is, For each risk sources, evaluate its daily activity level ; the resulting number is the partial risk factor. Sum up the partial risk factors, one for each source, to get the unnormalized Man-Caused Risk. To make up the Man-Caused Risk, the partial risk factor and the unit's potential risk class were considered together. (3) At last, Fire occurrence index was formed fire danger rating estimation by the Weather Factors and the Man-Caused Risk Index were integrated to form the final Fire Occurrence Index.

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Social Safety Systems through Big Data Analysis of Public Data (공공 데이터의 빅데이터 분석을 통한 사회 안전망 시스템)

  • Lee, Sun Yui;Jung, Jun Hee;Cha, Gyeong Hyeon;Son, Ki Jun;Kim, Sang Ji;Kim, Jin Young
    • Journal of Satellite, Information and Communications
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    • v.10 no.4
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    • pp.77-82
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    • 2015
  • This paper proposed an accident prediction model in order to prevent accidents in mountain areas using a big data analysis. Data of accidents in mountain areas are shown as graphs. We have analyzed cases: the number of accidents per year, day of week, time of day to find patterns of the negligent accident in mountain areas. The proposed prediction model consists of weighted variables of the accident in mountain through visualized big data analysis. The model of danger index performance is demonstrated by showing accident-prone areas with weighted variables.

A Study on the Human body Model shocked Electric installation in Underwater (수중에서의 인체에 가해지는 전기적 현상에 관한 연구)

  • Woo, J.H.;Park, H.Y.;Song, W.C.;Kim, N.S.
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.1338-1339
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    • 2008
  • In this paper, charging part by basic from Andrew's body model research to second a danger have affect on remaining and rehabilitation humans in space under water. The construction of a circuit make to Andrew's body model. It compare that voltages measure a hand, a breast, a groin and electric currents measure an arm, a breast, a leg with safety a limit of body through an electric current. Out of result, it research that magnitude and wave of body passing an electric current give the effect to the heart control a signal and it have affect on direct the ventricle of the heart in detail motion. A thing of this sort get through to the simulation by the ATP-Draw program. The results from above, it is publish one's research work with safety a limit electric angle take measurement of resistance a body in under water and to the voltage and electric current passing each parts.

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Pedestrian GPS Trajectory Prediction Deep Learning Model and Method

  • Yoon, Seung-Won;Lee, Won-Hee;Lee, Kyu-Chul
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.8
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    • pp.61-68
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    • 2022
  • In this paper, we propose a system to predict the GPS trajectory of a pedestrian based on a deep learning model. Pedestrian trajectory prediction is a study that can prevent pedestrian danger and collision situations through notifications, and has an impact on business such as various marketing. In addition, it can be used not only for pedestrians but also for path prediction of unmanned transportation, which is receiving a lot of spotlight. Among various trajectory prediction methods, this paper is a study of trajectory prediction using GPS data. It is a deep learning model-based study that predicts the next route by learning the GPS trajectory of pedestrians, which is time series data. In this paper, we presented a data set construction method that allows the deep learning model to learn the GPS route of pedestrians, and proposes a trajectory prediction deep learning model that does not have large restrictions on the prediction range. The parameters suitable for the trajectory prediction deep learning model of this study are presented, and the model's test performance are presented.

Effect of building proximity on external and internal pressures under tornado-like flow

  • Sabareesh, G.R.;Cao, Shuyang;Wang, Jin;Matsui, Masahiro;Tamura, Yukio
    • Wind and Structures
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    • v.26 no.3
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    • pp.163-177
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    • 2018
  • Tornadoes are one of the world's deadliest natural phenomena. They are characterized by short life span and danger. It has been observed through post-damage surveys that localities with large numbers of buildings suffer major damage during a tornado attack resulting in huge loss of life and property. Thus,it is important to study interfering buildings exposed to tornado-like vortices. The present study focuses on external and internal pressures developed on building models exposed to translating tornado-like vortices in the presence of an interfering building model. The effects of translating speed and swirl ratio of a tornado-like vortex on external and internal pressures for a principal building in the vicinity of an interfering building are investigated. Results indicate that external and internal pressures are enhanced or reduced depending on the location of the interfering building with respect to the principal building.

Intention Recognition Using Case-base Learning in Human Vehicle

  • Yamaguchi, Toru;Dayaong, Chen;Takeda, Yasuhiro;Jing, Jianping
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.110-113
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    • 2003
  • Most traffic accidents are caused by drivers' carelessness and lack of information on the surrounding objects. In this paper we proposed a model of human intention recognition through case-base learning and to build up an experiment system. The system can help us recognize object's intention (e.g. turn left, turn right or straight) by using detected data about human's motion, speed of the car and the distance between the car and the intersection. Furthermore, we included an example using case-base learning in this paper to improve the precision of recognition as well as an example to explain the use of the system. PC can be used to predict the driving reaction beforehand and send a warning signal to the driver in time if there is any danger.

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A study on the Quality Management System of Medium and Small-sized Enterprises under Product Liability Law (제조물책임법 시행에 따른 중소기업 품질경영시스템에 관한 연구)

  • 배성아;김복만
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2001.10a
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    • pp.362-365
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    • 2001
  • Human, physical damage is happened frequently to consumer's safety accident by product defect on modern industrial society. Accordingly, advanced nation including the United States of America enforce product liability law and is protecting consumer more actively from danger of product defect. Our country(Korea) may enforce product liability law since July, 2002, and if business does not grope effective confrontation way about PL, capital strength weak smaller enterprise and venture business corporation's competitive power may affect much corporation's competitive power enfeeblement and survival. This research supplement based on induction and operating QMS in smaller enterprise essential factor that corporations must equip according to product liability law enforcement. And we present integration quality management system model of Product liability to do so that smaller enterprises may can cope effectively at force of Product liability law.

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A Design of Process Model for Web-based Requirements Management (웹 기반의 요구사항 관리를 위한 프로세스 모델 설계)

  • 황만수;민태홍
    • Journal of the Korea Computer Industry Society
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    • v.4 no.4
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    • pp.517-522
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    • 2003
  • As the Software development condition is changed into enlargement and complex, requirements generated in each step of Software development life cycle has important effects on the technique and management area. In this thesis, We propose so engineering approach for effective and systematic process and activities including Requirements acquisition and management based on activities proposed with Requirements Engineering and CMM that my special emphasis is putted on Software qualify improvement through the reduction of software development cost and danger.

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