• Title/Summary/Keyword: Safety rule

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Developing an Estimation Model for Safety Rating of Road Bridges Using Rule-based Classification Method (규칙 기반 분류 기법을 활용한 도로교량 안전등급 추정 모델 개발)

  • Chung, Sehwan;Lim, Soram;Chi, Seokho
    • Journal of KIBIM
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    • v.6 no.2
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    • pp.29-38
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    • 2016
  • Road bridges are deteriorating gradually, and it is forecasted that the number of road bridges aging over 30 years will increase by more than 3 times of the current number. To maintain road bridges in a safe condition, current safety conditions of the bridges must be estimated for repair or reinforcement. However, budget and professional manpower required to perform in-depth inspections of road bridges are limited. This study proposes an estimation model for safety rating of road bridges by analyzing the data from Facility Management System (FMS) and Yearbook of Road Bridges and Tunnel. These data include basic specifications, year of completion, traffic, safety rating, and others. The distribution of safety rating was imbalanced, indicating 91% of road bridges have safety ratings of A or B. To improve classification performance, five safety ratings were integrated into two classes of G (good, A and B) and P (poor ratings under C). This rearrangement was set because facilities with ratings under C are required to be repaired or reinforced to recover their original functionality. 70% of the original data were used as training data, while the other 30% were used for validation. Data of class P in the training data were oversampled by 3 times, and Repeated Incremental Pruning to Produce Error Reduction (RIPPER) algorithm was used to develop the estimation model. The results of estimation model showed overall accuracy of 84.8%, true positive rate of 67.3%, and 29 classification rule. Year of completion was identified as the most critical factor on affecting lower safety ratings of bridges.

Electrical Fire Cause Diagnosis System based on Fuzzy Inference

  • Lee, Jong-Ho;Kim, Doo-Hyun
    • International Journal of Safety
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    • v.4 no.2
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    • pp.12-17
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    • 2005
  • This paper aims at the development of an knowledge base for an electrical fire cause diagnosis system using the entity relation database. The relation database which provides a very simple but powerful way of representing data is widely used. The system focused on database construction and cause diagnosis can diagnose the causes of electrical fires easily and efficiently. In order to store and access to the information concerned with electrical fires, the key index items which identify electrical fires uniquely are derived out. The knowledge base consists of a case base which contains information from the past fires and a rule base with rules from expertise. To implement the knowledge base, Access 2000, one of DB development tools under windows environment and Visual Basic 6.0 are used as a DB building tool. For the reasoning technique, a mixed reasoning approach of a case based inference and a rule based inference has been adopted. Knowledge-based reasoning could present the cause of a newly occurred fire to be diagnosed by searching the knowledge base for reasonable matching. The knowledge-based database has not only searching functions with multiple attributes by using the collected various information(such as fire evidence, structure, and weather of a fire scene), but also more improved diagnosis functions which can be easily wed for the electrical fire cause diagnosis system.

Development of an Adaptive Feedback based Actuator Fault Detection and Tolerant Control Algorithms for Longitudinal Autonomous Driving (적응형 되먹임 기반 종방향 자율주행 구동기 고장 탐지 및 허용 제어 알고리즘 개발)

  • Oh, Kwangseok;Lee, Jongmin;Song, Taejun;Oh, Sechan;Yi, Kyongsu
    • Journal of Auto-vehicle Safety Association
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    • v.12 no.4
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    • pp.13-22
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    • 2020
  • This paper presents an adaptive feedback based actuator fault detection and tolerant control algorithms for longitudinal functional safety of autonomous driving. In order to ensure the functional safety of autonomous vehicles, fault detection and tolerant control algorithms are needed for sensors and actuators used for autonomous driving. In this study, adaptive feedback control algorithm to compute the longitudinal acceleration for autonomous driving has been developed based on relationship function using states. The relationship function has been designed using feedback gains and error states for adaptation rule design. The coefficients in the relationship function have been estimated using recursive least square with multiple forgetting factors. The MIT rule has been adopted to design the adaptation rule for feedback gains online. The stability analysis has been conducted based on Lyapunov direct method. The longitudinal acceleration computed by adaptive control algorithm has been compared to the actual acceleration for fault detection of actuators used for longitudinal autonomous driving.

A Basic Study on the Development of a BIM-based Realtime Performance Evaluation Technology for the User Life Safety in the Buildings (건물 내의 사용자 생활안전설계를 위한 BIM기반 실시간 성능검토 기술개발에 관한 기초연구)

  • Lee, Yun Gil
    • Journal of Korea Multimedia Society
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    • v.18 no.9
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    • pp.1058-1067
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    • 2015
  • Dweller's safety is one of the most important factors for the evaluation of building performance. The process of conventional safety design which is normally performed by the codes and designer's experiences is not enough to check the whole possibilities of unexpected accidents in the built environment. It means that the dwellers might be always exposed by the dangerous situation which should have been removed in the architectural design process. In order to solve this problem, this study intends to introduce a rule-based performance evaluation technology based on BIM(Building Information Modeling). The proposed technology focuses on the real time evaluation of dweller's safety in the ordinary life in the designed building alternatives and uses a commercial BIM tool as a design and evaluation platform.

Detection and Classification of Bearing Flaking Defects by Using Kullback Discrimination Information (KDI)

  • Kim, Tae-Gu;Takabumi Fukuda;Hisaji Shimizu
    • International Journal of Safety
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    • v.1 no.1
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    • pp.28-35
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    • 2002
  • Kullback Discrimination Information (KDI) is one of the pattern recognition methods. KDI defined as a measure of the mutual dissimilarity computed between two time series was studied for detection and classification of bearing flaking on outer-race and inner-races. To model the damages, the bearings in normal condition, outer-race flaking condition and inner-races flaking condition were provided. The vibration sensor was attached by the bearing housing. This produced the total 25 pieces of data each condition, and we chose the standard data and measure of distance between standard and tested data. It is difficult to detect the flaking because similar pulses come out when balls pass the defection point. The detection and classification method for inner and outer races are defected by KDI and nearest neighbor classification rule is proposed and its high performance is also shown.

A Development of Fuzzy-Logic Application for Improving Safety Diagnosis Rating Method of Agricultural Fill Dam (농업용 필댐의 안전진단등급 평가법 개선을 위한 퍼지논리 적용법 개발)

  • Yun, Sung-wook;Yu, Chan
    • Journal of The Korean Society of Agricultural Engineers
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    • v.65 no.4
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    • pp.33-43
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    • 2023
  • In this study, it was developed and verified an application method of fuzzy-logic theory to the rating process of agricultural fill dam safety. A fuzzy-logic is very famous logical system when some decision making is made on the status of a lack of information. Three proxies were selected and configured membership functions (MFs) and these MFs were activated in the process of fuzzification procedures. Fuzzified vlaues were passed through the rule-based inference system, then fire strength could classified among cases of the rule-based inference system. To obtain final results, Mandani-type was adapted in the defuzzification process. As the results, it was shown the developed system can give a correct results that was compared with Matlab - fuzzy inference function. More ever it could perform the detailed analysis and improvement on the infrastructure safety rating process using classical diagnosis method.

A Study on Customer's Purchase Trend Using Association Rule (연관규칙을 이용한 고객의 구매경향에 관한 연구)

  • 임영문;최영두
    • Proceedings of the Safety Management and Science Conference
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    • 2000.11a
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    • pp.299-306
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    • 2000
  • General definition of data mining is the knowledge discovery or is to extract hidden necessary information from large databases. Its technique can be applied into decision making, prediction, and information analysis through analyzing of relationship and pattern among data. One of the most important work is to find association rules in data mining. The objective of this paper is to find customer's trend using association rule from analysis of database and the result can be used as fundamental data for CRM(Customer Relationship Management). This paper uses Apriori algorithm and FoodMart data in order to find association rules.

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A Study on the Dispatching Rules of One-process Job Using Computer Simulation (시뮬레이션을 이용한 단공정작업의 스케줄링에 관한 연구)

  • 이기영;김영민
    • Journal of the Korea Safety Management & Science
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    • v.2 no.2
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    • pp.85-94
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    • 2000
  • This paper deals with the selection of a proper dispatching rule for an one-process Job scheduling that follows a particular distribution of an order production. That is, it makes a distribution on an order per unit period and applies to simulation model that uses it. This study consists of two purposes either seeks adequately production scheduling using priority rule or seeks extension of the facilities that increase current production efficiency through computer simulation in scheduling.

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A Study on the Lights and Shapes for the Small Fishing Vessel and the Vessels Towing and Being Towed (소형어선 및 예인선단의 등화 및 형상물에 관한 고찰)

  • Chong, Dae-Yul
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.21 no.4
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    • pp.421-427
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    • 2015
  • This study aims at reviewing first the cases of marine accidents of small fishing vessels and vessels towing and being towed and, the problems concerning such lights and shapes that could be misunderstood for those in concerned Rules, or that could impair their distinctive characteristics or obstruct to keep a proper look-out. And then I wish to make a suggestion of the necessity of amending the National Laws which stipulate the rules for the ship's lights and shapes as follows; Firstly, by amending the "Standard of Construction and Equipment for the Less Than 10 Gross Tonnage of Small Fishing Vessels" small fishing vessel must be equipped with the lights and shapes that are the same as those of "vessel engaged in fishing" prescribed by Rule 26 of the "COLREG 1972" and Rule 84 of the "Maritime Safety Law Act". Secondly, "Standard of Fishing Vessels Equipment" which stipulate the rules concerning the exception of the running lights and radar reflector for the small fishing vessels must be amended to meet the requirement of Rule 20 of the "Maritime Safety Act". Thirdly, the definition of "Length of the tow" which prescribed by Rule 2 of the "Maritime Safety Act" must be amended to meet the Rule 24 of the "COLREG 1972". And also I wish to adhere to the importance of displaying the adequate vessel lights and shapes by every mariner for preventing marine accidents.

A Study on the Train Composition Requirements for Safety Operation of Urban-Transit (도시철도 안전운행을 위한 열차 구성요건에 관한 연구)

  • Jeon, Young-Seok;Lee, Hi-Sung;Wang, Jong-Bae
    • Journal of the Korean Society for Railway
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    • v.14 no.1
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    • pp.66-72
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    • 2011
  • In order to assure the safety of train operation, a safety function analysis corresponding hazardous events of railway accidents and a safety requirement review on operation & management of trains have been performed. The preconditions and train composition requirements such as safety principles and functions that should be essentially considered to enable the safety operation of Urban-Transit trains are clearly presented. On the basis of presented train composition requirements, a rational revise of Urban Railway Operation Rule is proposed. It will be helpful in accident prevention and safety improvement for railway operation.