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Empirical likelihood for the class of single index hazard regression models
Jianbo Li,Minglong Guo,Changxin Du,Riquan Zhang,Heng Lian 한국통계학회 2015 Journal of the Korean Statistical Society Vol.44 No.4
Based on the B spline approximation technique and right censored data, we consider the empirical likelihood inference for the index parameters and its partial components in a class of single index hazard regression models. Under some regular conditions, we show that our proposed empirical likelihood ratio statistics follow the standard χ2 distribution. Some numerical studies are given to illustrate our proposed methodology.
A real-time sorting algorithm for in-beam PET of heavy-ion cancer therapy device
Ke, Lingyun,Yan, Junwei,Chen, Jinda,Wang, Changxin,Zhang, Xiuling,Du, Chengming,Hu, Minchi,Yang, Zuoqiao,Xu, Jiapeng,Qian, Yi,She, Qianshun,Yang, Haibo,Zhao, Hongyun,Pu, Tianlei,Pei, Changxu,Su, Hong Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.10
A real-time digital time-stamp sorting algorithm used in the In-Beam positron emission tomography (In-Beam PET) is presented. The algorithm is operated in the field programmable gate array (FPGA) and a small amount of registers, MUX and memory cells are used. It is developed for sorting the data of annihilation event from front-end circuits, so as to identify the coincidence events efficiently in a large amount of data. In the In-Beam PET, each annihilation event is detected by the detector array and digitized by the analog to digital converter (ADC) in Data Acquisition Unit (DAQU), with a resolution of 14 bits and sampling rate of 50 MS/s. Test and preliminary operation have been implemented, it can perform a sorting operation under the event count rate up to 1 MHz per channel, and support four channels in total, count rate up to 4 MHz. The performance of this algorithm has been verified by pulse generator and <sup>22</sup>Na radiation source, which can sort the events with chaotic order into chronological order completely. The application of this algorithm provides not only an efficient solution for selection of coincidence events, but also a design of electronic circuit with a small-scale structure.