• 제목/요약/키워드: motorcycle

검색결과 215건 처리시간 0.027초

Risk Assessment of High Reliability Products - Focused on Motorcycle Helmets - (고신뢰성 제품 리스크평가 -오토바이 헬멧 중심으로 -)

  • Kim Jong-Gurl;Kwon Yeong-il;Kim Jin-kuk;Bin Sung-uk
    • Proceedings of the Korean Society for Quality Management Conference
    • /
    • 한국품질경영학회 2004년도 품질경영모델을 통한 가치 창출
    • /
    • pp.266-271
    • /
    • 2004
  • Recently, consumers require products with high-reliability and high-safety. Risk management system and product safety become more important issue In view of product liability. This paper aims to propose a risk assessment system which can be applied to product with high-reliability and high-safety, and also show an empirical application of the proposed risk assessment system for the development of motorcycle helmets.

  • PDF

A Case of Subcutaneous Emphysema without Associated Injuries at Neck from Motorcycle Accident (오토바이 사고에 의한 손상으로 목 부위 피하 공기증 만 발생한 경우)

  • Kim, Jung-Ho;Lee, Sam-Beom;Do, Byung-Soo
    • Journal of Yeungnam Medical Science
    • /
    • 제20권2호
    • /
    • pp.217-222
    • /
    • 2003
  • Subcutaneous emphysema defines collection of air in subcutaneous spaces of body. It is usually originated from air in upper airway and lower respiratory tract such as larynx, trachea, bronchus and lungs. Air in subcutaneous spaces derives from leakage of air due to tearing or ruptures of airway structures, and also accompanies pneumothorax or pneumomediastinum and/or rib or sternal fractures or other major airway injuries. We experienced a case of subcutaneous emphysema caused by laryngeal injury without any associated airway injuries at neck from motorcycle accident, so we would report a case with the review of literatures.

  • PDF

Study on the Intake/Exhaust Noise Reductions of Motorcycle Pass-by Noise (가속주행하는 오토바이 흡배기계 시스템의 소음 저감에 관한 연구)

  • 김봉기;김재승;김상렬;이상문;이태원;박근태
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
    • /
    • 한국소음진동공학회 2001년도 추계학술대회논문집 II
    • /
    • pp.871-875
    • /
    • 2001
  • Evaluation of the contribution of each pass-by noise source to the overall pass-by noise is an important issue for reduction of pass-by noise. A lead-wrapping test for analyzing pass-by noise of motorcycle is used to identify the principal noise sources of the pass-by noise in this study. Lead-wrapping test is employed and the contribution analysis is carried out. Based on the contribution analysis of each pass by noise source from the action of the prior tests, the design modifications of intake/exhaust systems were performed for reducing the pass-by noise. Finally, the pass-by noise test based on ISO362 was carried out to verify the noise reduction.

  • PDF

Anomaly Detection in Sensor Data

  • Kim, Jong-Min;Baik, Jaiwook
    • Journal of Applied Reliability
    • /
    • 제18권1호
    • /
    • pp.20-32
    • /
    • 2018
  • Purpose: The purpose of this study is to set up an anomaly detection criteria for sensor data coming from a motorcycle. Methods: Five sensor values for accelerator pedal, engine rpm, transmission rpm, gear and speed are obtained every 0.02 second from a motorcycle. Exploratory data analysis is used to find any pattern in the data. Traditional process control methods such as X control chart and time series models are fitted to find any anomaly behavior in the data. Finally unsupervised learning algorithm such as k-means clustering is used to find any anomaly spot in the sensor data. Results: According to exploratory data analysis, the distribution of accelerator pedal sensor values is very much skewed to the left. The motorcycle seemed to have been driven in a city at speed less than 45 kilometers per hour. Traditional process control charts such as X control chart fail due to severe autocorrelation in each sensor data. However, ARIMA model found three abnormal points where they are beyond 2 sigma limits in the control chart. We applied a copula based Markov chain to perform statistical process control for correlated observations. Copula based Markov model found anomaly behavior in the similar places as ARIMA model. In an unsupervised learning algorithm, large sensor values get subdivided into two, three, and four disjoint regions. So extreme sensor values are the ones that need to be tracked down for any sign of anomaly behavior in the sensor values. Conclusion: Exploratory data analysis is useful to find any pattern in the sensor data. Process control chart using ARIMA and Joe's copula based Markov model also give warnings near similar places in the data. Unsupervised learning algorithm shows us that the extreme sensor values are the ones that need to be tracked down for any sign of anomaly behavior.

Nationwide Comparison of Postal Motorcyclists' Driving Behavior and their Workloads using V-World Platform (브이월드를 활용한 집배 이륜차 운전자들의 운전 행동과 업무 부하의 비교 분석)

  • Jo, Jung Hee;Jang, In Sung;Kim, Hyun Suk
    • Journal of Korean Society for Geospatial Information Science
    • /
    • 제25권2호
    • /
    • pp.39-47
    • /
    • 2017
  • Although motorcycle safety studies to date have identified the causes of motorcycle accidents in general, very few have investigated postal motorcycle accidents by studying the delivery postmen's specific work environment. To better understand postal motorcyclists' driving behavior associated with their delivery workload, we developed a system using V-World platform which visualizes driving behavior in real time along the driver's delivery route throughout an entire work day. We conducted a field test to examine the feasibility of our system by involving six delivery postmen currently working in Songpa, Seocheongju, and Gangseo, respectively. To show the potential of our system for nationwide comparison of postal motorcyclists' driving behavior and their workloads, we present several sample analyses using the collected field data. Although ideally, postmen's workloads should be standardized nationwide, we found large variation depending on regional characteristics of work area which affects postmen's driving behavior.

A Study on Emission Characteristics of VOCs During Cold Start Test Mode for Motorcycles (냉간모드에서의 이륜자동차 VOCs 배출특성연구)

  • Lee, Jongtae;Yoo, Heung-Min;Son, JiHwan;Yun, Changwan;Mun, SunHee;Park, Gyu-Tae;Kim, JeongSoo
    • Journal of ILASS-Korea
    • /
    • 제20권1호
    • /
    • pp.28-34
    • /
    • 2015
  • Recently, some researchers have been carried out risk assessment of vehicles exhaust on human health. Especially, some of VOCs which is non-controlled, was classified to hazardous pollutant, such as 1,3-Butadiene and BTEX(Benzene, Toluene, Ethylbenzene and Xylene). Therefore, the profile on non-controlled pollutant may be needed in the future, because it would be critical data or information to control them. Additionally, with increasing amount of motorcycle, the source profiling is essential for estimating emission factor and amount on motorcycle exhaust. For these, in this study, imported motorcycles (8 vehicles) were selected as a test model while considering the increasing ratio on sales volume between 2013 and 2014; it was also compared with domestic motorcycles on those. The experiment was conducted by driving mode, UDC and ECE+EUDC that made from EURO III. In addition, it was performed at cold start driving mode without effect by displacement, for evaluating only correlation of BTEX with HC. In order to apply the ratio (m,p-Xylene/o-Xylene) as a marker, the ratio was compared with those of tunnel, road side and residential area. As a result, it showed best correlation ($R^2=0.98$) among those. In the future, it has to be considered as a marker for effect evaluation to atmospheric environment by exhaust emission.

Characteristic Analysis of Occupational Motorcycle Accidents for Food Delivery Workers by Employment Status (종사상 지위별 음식 배달 종사자의 이륜차 산업재해 특성 분석)

  • Byungdoo, Moon;Sudong, Lee;Kihyo, Jung
    • Journal of the Korean Society of Safety
    • /
    • 제37권6호
    • /
    • pp.118-127
    • /
    • 2022
  • This study analyzes the characteristics of occupational accidents of food delivery via motorcycle in terms of accident probability and work-days. Depending on their employment status, food-delivery workers were divided into "employed" workers (who work for restaurants) and "special-type" workers (who work for delivery platforms). Collected data include occupational accident-information during the last two years (1,468 cases for employed workers and 4,899 cases for special-type workers) and their risk information such as age, work experience, accident location, season of the accident, and weather conditions. The study finds that special-type workers had a significantly higher accident probability for the younger age group (80.8%), while employed workers had more accidents in both 20's or younger (34.9%) and 50's or older (25.4%). The number of work-days-lost was higher for special-type workers with less work experience, and it decreased with increasing work experience. Moreover, the chance for accidents was higher at night time (55%) than for day time (45%) for special-type workers as well as for employed workers. The number of work-days-lost was higher in foreign workers (180.79 days) than in Korean workers (121.44 days). Accident probability (30.7%) and work-days-lost (136.2 days) was higher in winter than in other seasons. In addition, accidents-per-day was higher on snowy days (12.7 cases per day) than rainy (8.1) and windy days (7.1). In addition, it was found that deadly accidents mainly caused injuries to face, head, and chest, while non-deadly accidents affected mainly the legs and feet. This study enables the development of better policies to prevent accidents of food delivery workers.

A study on the needs for the cool motorcycle helmet and the factors affecting the purchasing intention (오토바이용 쿨 헬멧의 필요성과 구매요인에 관한 조사연구)

  • Seong, Deokhyun;Kim, Jongsoo
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • 제16권12호
    • /
    • pp.8386-8393
    • /
    • 2015
  • This study is to investigate the needs for the cool motorcycle helmet and the factors affecting the purchasing intention of cool helmet. The convenient sampling from motorcycle clubs were conducted during 5/20/2014~5/28/2014 on Google DAX. As a result, 197 participants were surveyed. The main reasons of sensing unpleasant feeling wearing helmet were identified as 'hot and uncomfortable feeling' and 'it ruins hair style'. The mean score expressed in terms of five point scale showed that the needs for cool helmet was 3.9 and the purchasing intention of cool helmet was 3.6, respectively. The significant factors influencing the purchasing intention of cool helmet were identified as 'the needs for cool helmet' (odds ratio=6.52) and 'extra paying intention for cool helmet' (odds ratio=1.77). The main reasons of sensing unpleasant feeling wearing helmet were similar to the previous research. However, we can expect that the initial target market for cool helmet would be the low end (less than \40,000 of extra paying intention) or the high end (more than \100,000 of extra paying intention). The main contribution of this study is dealing with the topics related to the purchasing intention of the cool helmet.