• 전자공학회논문지SC
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• 제48권6호
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• pp.24-33
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• 2011

본 논문은 다른 종류의 프로토콜을 가지는 자동차 네트워크를 통합하기 위해 MOST 네트워크를 백본으로 하는 게이트웨이 시스템에 대한 것이다. 서로 다른 프로토콜들의 상위 계층의 메시지와 데이터 구조에 상관없이 서로간의 통신을 위해 MOST와 비슷한 구조를 가지는 Pseudo MOST 프로토콜을 설계하여 이를 데이터 수송을 위한 매개체로 이용하였다. 자동차 네트워크에 적용하기위해 일체형 게이트웨이와 소형 독립형 게이트웨이 두 가지 타입이 개발되었다. 일체형 게이트웨이는 이더넷포트, 영상 및 음성 포트를 가지고 있는 반면 소형 독립형 게이트웨이는 영상, 음성, 블루투스 그리고 Flexray용으로 각각 개발 되었다. 소형 독립형 게이트웨이를 이용한 네트워크 시스템 실험을 통해 개발된 게이트웨이가 서로 다른 프로토콜간의 데이터 송수신이 효율적으로 수행될 수 있음을 보여주었고 자동차 네트워크 통합용으로도 활용이 가능함을 보여주었다.

• 한국자동차공학회논문집
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• 제10권4호
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• pp.175-180
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• 2002

In order to satisfy the requirements of time reduction and cost saving for development of electronic control systems(ECU) in automotive industry, the applications of a standardized real-time operating system(RTOS) and a communication protocol to ECUs are increased. In this study, a body control module(BCM) that employs OSEK/VDX(open system and corresponding interfaces for automotive electronics/vehicle distributed executive) OS tour the RTOS and a controller area network(CAN) fur the communication protocol is designed, and the performances of the system are evaluated. The BCM controls doors, mirrors, and windows of the vehicle through the in-vehicle network. To identify all the transmitted and received control messages, a PC connected with the CAN communication protocol behaves as a CAN bus emulator. The control system based upon in-vehicle network improves the system stability and reduces the number of wiring harness. Furthermore it is easy to maintain and simple to add new features because the system is designed based on the standards of RTOS and communication protocol.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권8호
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• pp.3025-3047
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• 2021

This paper presents the latest Ethernet standardization of in-vehicle network and the future trends of automotive Ethernet technology. The proposed system provides design and optimization algorithms for automotive networking technology related to AVB (Audio Video Bridge) technology. We present a design of in-vehicle network system as well as the optimization of AVB for automotive. A proposal of Reduced Latency of Machine to Machine (RLMM) plays an outstanding role in reducing the latency among devices. RLMM's approach to real-world experimental cases indicates a reduction in latency of around 41.2%. The setup optimized for the automotive network environment is expected to significantly reduce the time in the development and design process. The results obtained in the study of image transmission latency are trustworthy because average values were collected over a long period of time. It is necessary to analyze a latency between multimedia devices within limited time which will be of considerable benefit to the industry. Furthermore, the proposed reliable camera and video streaming through optimized AVB device settings would provide a high level of support in the real-time comprehension and analysis of images with AI (Artificial Intelligence) algorithms in autonomous driving.

• IEIE Transactions on Smart Processing and Computing
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• 제3권5호
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• pp.313-318
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• 2014

Recently, Ethernet-based Diagnostic Over Internet Protocol (DoIP) was applied to automotive systems, and in-vehicle gateways have been introduced to integrate Ethernet with traditional in-vehicle networks, such as the local interconnect network (LIN), controller area network (CAN) and FlexRay. The introduction of in-vehicle gateways and of Ethernet based diagnostic protocols not only decreases the complexity of the networks, but also reduces the update time for ECU software reprogramming while enabling the use of a range of services, including remote diagnostics. In this paper, a diagnostic gateway was implement for an automotive system, and the performance measurements are presented. In addition, a range of applications provided by the diagnostic gateway are proposed.

• Journal of Welding and Joining
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• 제31권3호
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• pp.44-48
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• 2013

Artificial neural network (ANN) model is applied to predict arc welding process window for automotive steel plate. Target weldment was various automotive steel plate combination with lap fillet joint. The accuracy of prediction was evaluated through comparison experimental result to ANN simulation. The effect of ANN variables on the accuracy is investigated such as number of hidden layers, perceptrons and transfer function type. A static back propagation model is established and tested. The result shows comparatively accurate predictability of the suggested ANN model. However, it restricts to use nonlinear transfer function instead of linear type and suggests only one single hidden layer rather than multiple ones to get better accuracy. In addition to this, obvious fact is affirmed again that the more perceptrons guarantee the better accuracy under the precondition that there are enough experimental database to train the neural network.

• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2007년도 동계학술발표대회 논문집
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• pp.29-33
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• 2007

In order to protect the environment from the refrigerant pollution, the $CO_2$ may be regarded as one of the most attractive alternative refrigerants for an automotive air-conditioning system. Control methods for a $CO_2$ system should be different because of $CO_2$'s unique properties as a refrigerant. Especially, the high-side pressure of a $CO_2$ system should be controlled for the effective operation of the system. In this study, the high-side pressure setpoint algorithm was developed by using a neural network and a Lagrange interpolation method. These methods were compared. Simulation results showed that a Lagrange interpolation method was more effective than a neural network in the respect of its easiness of programming and shorter execution time.

• 한국자동차공학회논문집
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• 제23권3호
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• pp.315-325
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• 2015

Smart Car market has been experiencing continuous growth to drive leading companies in automotive and IT industries to focus on advancing related technologies. As the IT technologies fuse into automotive technologies, the patent litigation has been showing changes. One of the prominent changes in patent litigation pattern of Smart Car field is the increased activities of the Non-Practicing Entities (NPEs), whose main field has been the IT area. However, the automotive companies have been mainly focusing on preventing patent disputes against competitors through trend analysis, which caused them to become relatively vulnerable to the attacks from NPEs. In this study, we developed a methodology for monitoring and analyzing the activities of NPEs using network analysis tools to suggest effective strategies for manufacturing companies to fortify their ability to respond against unanticipated attacks. Our methodology, which is developed for the Smart Car field, can also be useful for other fields such as IT and electronics.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권9호
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• pp.2419-2435
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• 2023

Command and control networks(C2N) exhibit evident multi-network interdependencies owing to their complex hierarchical associations, interleaved communication links, and dynamic network changes. However, the existing command and control networks do not consider the effects of dependent nodes on the load distribution. Thus, we proposed a command and control networks load allocation strategy based on interdependence strength. First, a new measure of interdependence strength was proposed based on the edge betweenness, which was followed by proposing the inter-layer load allocation strategy based on the interdependence strength. Eventually, the simulation experiments of the aforementioned strategy were designed to analyze the network invulnerability with different initial load capacity parameters, allocation model parameters, and allocation strategies. The simulation indicates that the strategy proposed in this study improved the node survival rate of the interdependent command and control networks model and successfully prevented cascade failures.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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• pp.243-245
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• 2009

In recent years, a development of automotive embedded systems called Intelligent Vehicle are used for control and communication with CAN protocol. But as various devices and protocols are developed for Vehicle communication and control, it becomes difficult to manage the systems that contain limitation of bandwidth and various control requirement. To solve these problems, we introduce a research of automotive embedded systems which is considered the automotive real time operating system, automotive communications, and control systems.

• 한국자동차공학회논문집
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• 제18권2호
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• pp.39-47
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• 2010

As vehicles become intelligent for convenience and safety of drivers, in-vehicle networking (IVN) systems are essential components of intelligent vehicles. Recently, the chassis networking system which require increased network capacity and real-time capability is being developed to expand the application area of IVN systems. Also, FlexRay has been developed for the chassis networking system. However, FlexRay needs a complex scheduling method of static segment, which is a barrier for implementing the chassis networking system. Especially, if we want to migrate from CAN network to FlexRay network using CAN message database that was well constructed for the chassis networking system by automotive vendors, a novel scheduling method is necessary to be able to reduce design complexity. This paper presents a node-based scheduling method for FlexRay network system. And, in order to demonstrate the method's feasibility, its performance is evaluated through an experimental testbed.