• 제목/요약/키워드: Auto industry

검색결과 348건 처리시간 0.025초

Vehicles Auto Collision Detection & Avoidance Protocol

  • Almutairi, Mubarak;Muneer, Kashif;Ur Rehman, Aqeel
    • International Journal of Computer Science & Network Security
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    • 제22권3호
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    • pp.107-112
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    • 2022
  • The automotive industry is motivated to provide more and more amenities to its customers. The industry is taking advantage of artificial intelligence by increasing different sensors and gadgets in vehicles machoism is forward collision warning, at the same time road accidents are also increasing which is another concern to address. So there is an urgent need to provide an A.I based system to avoid such incidents which can be address by using artificial intelligence and global positioning system. Automotive/smart vehicles protection has become a major study of research for customers, government and also automotive industry engineers In this study a two layered novel hypothetical approach is proposed which include in-time vehicle/obstacle detection with auto warning mechanism for collision detection & avoidance and later in a case of an accident manifestation GPS & video camera based alerts system and interrupt generation to nearby ambulance or rescue-services units for in-time driver rescue.

LSTM-AutoEncoder를 활용한 선박 메인엔진의 이상 탐지 및 라벨링 (Outlier Detection and Labeling of Ship Main Engine using LSTM-AutoEncoder)

  • 김도희;한영재;김혜미;강성필;김기훈;배혜림
    • 한국빅데이터학회지
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    • 제7권1호
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    • pp.125-137
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    • 2022
  • 운송 산업은 우리나라의 3면이 바다로 둘러싸여 있는 지리적 요건과 자원 소비량의 대부분을 수입에 의존하는 자원 빈곤 문제로 인해 중요한 산업 중 하나이다. 그 중에서도 해운업의 비중은 운송 산업의 대부분을 차지할 정도로 크며, 해운업에서의 유지보수는 선박의 운영 효율성 개선 및 비용 감소에 있어서도 중요하다. 그러나 현재 선박이 유지보수를 위해 일정기간 주기로 검사가 시행되고, 이에 따라 시간과 비용이 발생하며 원인규명도 제대로 되지 않고 있다. 따라서 본 연구에서는 제안 방법론인 LSTM-AutoEncoder를 활용해 실제 선박 운항 데이터에 대해 시점을 고려하여 선박 고장의 원인이 될 수 있는 이상 탐지를 수행한다. 또한 클러스터링을 통해 군집화를 수행하고 이상치에 대해 요인별로 그룹화를 통해 선박 메인엔진 고장의 잠재 원인을 규명한다. 이는 선박의 다양한 정보에 대해 보다 빠르게 모니터링이 가능하고, 이상 정도를 식별할 수 있다. 또한 현재 선박의 고장 감시시스템에 있어서도 구체화된 경보 점 설정과 고장 진단 체계를 갖추고, 유지보수시점을 찾는 데 도움을 줄 수 있을 것이다.

유통산업 집적지에서 장소기반 사회자본의 역할: 동대문구 답십리 자동차 부품상가를 사례로 (The Role of Space-based Social Capital in Retailing Industrial Cluster: The case study of Dondaemun-gu Dapsimni Auto-parts shopping area)

  • 고병옥
    • 한국경제지리학회지
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    • 제19권3호
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    • pp.457-473
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    • 2016
  • 본 연구는 국내 정비용자동차 부품산업과 유통산업 집적지의 지역특성을 기반으로 답십리 부품상가에서 발현되는 장소기반 사회자본의 역할을 고찰하는 것이다. 이를 위해 답십리 부품상가의 업체들을 대상으로 한 설문조사 및 심층인터뷰를 수행하였고, Lin(1999)의 사회자본 모델을 기반으로 유통산업 집적지의 사회자본의 형성, 접근성, 동원화 과정을 구분하여 고찰하였다. 그 결과, 답십리 부품상가의 부품업체들은 장소기반 사회자본을 통해 특정 공간에서 누릴 수 있는 이익인 부품의 거래비용, 업체 간 정보교환을 강화하였고, 새로운 부품판매시장을 창출하였다. 이는 유통산업 집적지의 역할이 점차 쇠퇴하는 과정에서도 장소기반 사회자본이 유통산업집적지의 성격을 지속시키는 주요 요인임을 확인하였다. 본 연구는 국내의 유통산업집적지를 대상으로 장소기반 사회자본이라는 미시적 연구의 필요성을 제기하였다는 점에서 그 의미가 있다.

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APQP와 DFSS를 연계한 자동차부품연구개발 단계에서 품질보증에 관한 연구 (A Study on Quality Assurance in Auto-parts Research & Development Stage with APQP and DFSS)

  • 이강인;김재휴
    • 품질경영학회지
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    • 제39권1호
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    • pp.131-140
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    • 2011
  • Today, due to the global recession car sales have been decreased rapidly and auto makers are competing continuously to expand their market share. Automakers are struggling in order to secure competitive cost and quality through continuous cost reduction and quality innovation activities to win in the competition. In this situation, auto parts makers are trying to reinforce price competitiveness by reducing COPQ (Cost Of Poor Quality) in the mass production stages by securing the quality of components in advance from the design stage through DFSS (Design For Six Sigma) activities which is 6 sigma approach in the R&D field. However, auto parts makers have been undergone various confusion, feeling difficulties to get interrelationship among various activities. Thus, this study is going to suggest approach method for much more effective R&D activities by securing interrelationship between ISO/TS 16949 system established in the auto parts industry and DFSS activities.

Design of Integrated Database for CRM in Automobile Maintenance Industry

  • Jung, Lee-Sang;Jung, Dae-Hyun
    • 한국컴퓨터정보학회논문지
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    • 제23권5호
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    • pp.55-63
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    • 2018
  • In this paper, we designed a system that integrate and organize customer management programs and databases, which are performed independently of each other. And we designed the system so that it can be used for future marketing by implementing the system to share and efficiently utilize mutual independent maintenance information. From the CRM perspective, a comprehensive information system ghat manages every information on both new cars and second hand cares grom their purchase, to parts, to insurance, and to scraping needs to be established. The following should be applied in the establishment of the IAMS. Auto makers or auto maintenance services providers exclusive management of information on customers and their car maintenance services is aggravating the customer's inconvenience and complaints. In addition, the service provider has difficulty providing consistent maintenance services because it has little information about previous auto maintenance services the customer received. Besides, the customers who have no information on costs of parts and labor tend to hesitate to trust the costs of maintenance services. This study to provide customers with systematic maintenance service and causing them some inconvenience. Therefore, in order to maintain existing customers, auto maintenance service providers should provide services the customers wanted on the basis of accurate information about them.

유한요소해석과 순환신경망을 활용한 하중 예측 (Load Prediction using Finite Element Analysis and Recurrent Neural Network)

  • 강정호
    • 한국산업융합학회 논문집
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    • 제27권1호
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    • pp.151-160
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    • 2024
  • Artificial Neural Networks that enabled Artificial Intelligence are being used in many fields. However, the application to mechanical structures has several problems and research is incomplete. One of the problems is that it is difficult to secure a large amount of data necessary for learning Artificial Neural Networks. In particular, it is important to detect and recognize external forces and forces for safety working and accident prevention of mechanical structures. This study examined the possibility by applying the Current Neural Network of Artificial Neural Networks to detect and recognize the load on the machine. Tens of thousands of data are required for general learning of Recurrent Neural Networks, and to secure large amounts of data, this paper derives load data from ANSYS structural analysis results and applies a stacked auto-encoder technique to secure the amount of data that can be learned. The usefulness of Stacked Auto-Encoder data was examined by comparing Stacked Auto-Encoder data and ANSYS data. In addition, in order to improve the accuracy of detection and recognition of load data with a Recurrent Neural Network, the optimal conditions are proposed by investigating the effects of related functions.

한국 영화의 산업의 흥행 극대화를 위한 AutoML 기반의 박스오피스 유형 분류 및 예측 모델 (A Box Office Type Classification and Prediction Model Based on Automated Machine Learning for Maximizing the Commercial Success of the Korean Film Industry)

  • 임수빈;문지훈;노승민
    • Journal of Platform Technology
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    • 제11권3호
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    • pp.45-55
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    • 2023
  • 본 논문은 한국 영화 산업의 의사 결정자들이 온라인상에서의 영화의 흥행을 극대화할 수 있도록 지원하는 데 도움을 주고자 역대 박스오피스 영화를 수집하여 영화를 유형별로 군집화하고, 유형별 온라인 박스오피스를 예측하는 모델을 제시한다. 이를 위해 먼저 다양한 특성을 고려하여 영화의 흥행 요인을 식별하고, 계산 효율성을 고려하여 특성 차원을 줄인다. 다음으로 영화의 유형을 체계적으로 분류하고, 유형별 온라인 박스오피스를 예측하며 흥행에 이바지한 요소를 분석한다. 이때, AutoML (Automated Machine Learning) 기법을 활용함으로써 다양한 기계학습 알고리즘을 자동으로 구성하고, 문제에 최적화된 알고리즘을 선택함으로써 여러 알고리즘을 쉽게 시도 및 선택한다. 이를 통해 정보화된 판단을 내릴 수 있는 기반을 제공하고, 영화 산업의 더 나은 성과를 도모하는 데 이바지할 것으로 기대할 수 있다.

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자동차부품 제조업의 MES 시스템 활용도를 높이기 위한 분산형 MRP 구현에 관한 연구 (A Study on the Implementation of Distributed MRP to Increase the Utilization of the MES System in the Automobile Parts Manufacturing Industry)

  • 남은재;김광수
    • 대한안전경영과학회지
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    • 제24권2호
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    • pp.127-134
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    • 2022
  • Production management in the automobile parts industry is carried out according to the production plan of the customer, so it is important to prevent shortages in product supply. As the product composition became increasingly complex, the MES System was built for the purpose of efficient production plan management and inventory management, but its utilization is low. This study analyzed the problems of the MES system and sought to improve it. Through previous studies, it was confirmed that the inventory management of the pull approach that actually occurred in the warehouse is more suitable than the push approach based on the forecast of the warehouse for the volatility, complexity, and uncertainty of orders in the auto parts industry. To realize this, we tried distributed MRP by using the ADO function of VBA to link the standard information of the MES system with Excel and change the structure of the BOM table. Through this, it can help increase the accuracy of production planning and realize efficient inventory management, thereby increasing the utilization of the MES system in the auto parts industry and enhancing the competitiveness of the company.

세탁기용 자동신통저감장치($Auto-Leg^{TM}$)의 최적 설계 (Optimal Design of an Auto-Leg System for Washing Machines)

  • 서현석;이태희;전시문
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2006년도 춘계학술대회논문집
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    • pp.996-1001
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    • 2006
  • Automatic washing machines have been improved and popularized steadily since the first electric washing machine was produced in the early 1900's. Appliance industry has tried to obtain the performance of washing machine with large capacity, high energy efficiency, low vibration and low noise levels. As the installation peace of a washer becomes closer to the living space, vibration and noise problems become more important challenges. In general, a washing machine has four legs to support its body. Four legs of the washing machine should be attached on a floor. If not so, it may cause severe vibration or walking in the spin-drying process. Unfortunately, the floor of an ordinary house is bumpy in general, and the consumers will not accept bolting washing machines to a foundation; moreover, sometimes they move the location of their washing machines to utility rooms or bath rooms or kitchens and don't care for leveling the legs exactly. In this study, we devise an auto-leg system that prevents the occurrence of abnormal vibration and walking of washing machines. It is simply composed of a spring and a friction damper. Some experiments are implemented to show the dynamic characteristics of the three-dimensional auto-legged washing machine model that is located on the even or uneven ground. A spring parameter is optimized to adjust the length of the auto-leg system automatically up to 10 mm irregularity, and the friction damper is designed to decrease a resonance induced by the spring of the auto-leg system. Some numerical results show that placing the proposed auto-leg system in a washing machine makes good performance with low vibration, as well as low noise, regardless of the unevenness of the floor.

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