Browsing by Author "Schmidt, Ece Güran"
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Book Part A configurable CAN FD controller: architecture and implementation(IEEE, 2017) Afşin, Mehmet Ertuğ; Schmidt, Klaus Werner; Schmidt, Ece GüranCAN FD is a new standard which provides fast. data rate while preserving the compatibility with CAN (controller area network). In this paper, a Configurable IP core architecture (A-CAN) which is compatible with the CAN FD standard, is proposed. Different than existing CAN/CAN FD controllers, the numbers and sizes of transmit and receive buffers of A-CAN can be configured in run time. To this end, A-CAN enables the best use of single controller hardware for different applications and enables improving the real time communication performance. A CAN communicates with the host device over SPI without any specific interface requirements. A-CAN is implemented on an FPGA Evaluation Board and its functionally is verified at a rate of 2 Mbps.Book Part A fast and optimal static segment scheduling method for FlexRay v3.0(IEEE, 2017) Çakmak, Cumhur; Schmidt, Ece Güran; Schmidt, Klaus WernerWe propose a novel and fast frame scheduling method for the Static Segment (SS) of the new in-vehicle network standard FlexRay v3.0 in this paper. The proposed methods assigns frames to the SS using the minimum number of time slots based on an Integer Linear Programming formulation. Different. from the existing method in the literature, the proposed method computes optimal frame schedules within miliseconds.Book Part Improved load distribution for controller area network(IEEE, 2017) Batur, Ahmet; Schmidt, Klaus Werner; Schmidt, Ece GüranThe main requirement for the design of the controller are network (CAN) is to guarantee that each message response time is smaller than their specified deadline. In practical in-vehicle applications, messages on CAN are released with offsets in order to avoid message bursts that lead to undesirably large response times. In this paper, new algorithms for the choice of suitable message offsets are developed and it is shown that these algorithms outperform existing algorithms.