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基于多平台的跨区域考试系统设计与应用 被引量:2

Design and application of cross regional examination system based on multi-platform
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摘要 针对当前考试系统集成性不好、数据吞吐和系统响应性能较差等问题,提出基于多平台跨区域网络环境的考试系统设计方法。系统采用PCI总线技术进行多平台环境下的考试信息传输和资源调度,采用多通道串口技术进行网络输入输出接口设计,在跨区域的网络考试进程中提供全双工的通信机制,在CCS 2.20开发平台下实现考试系统的软件开发设计。系统测试结果表明,该系统能提高考试的信息调度能力,吞吐量较大,系统的响应时间较短,考试系统具有较高的运行可靠性。 Aiming at the problems of poor integration, poor data throughput and poor response performance of the current test system, an examination system design method based on multi-platform cross regional network environment is proposed in this paper. The PCI bus technology is used system to perform the exam information transmission and resource scheduling in multi- platform environment. The multi-channel serial technology is adopted to design network input and output interfaces to provide full duplex communication mechanism in the process of the cross regional network exam, and realize design and development of the exam system software in CCS 2.20 development platform. The system test results show that the system can improve the infor- mation scheduling ability, increase the throughput and shorten the system response time. The exam system has high operating reliability.
作者 李利东
出处 《现代电子技术》 北大核心 2017年第16期44-46,共3页 Modern Electronics Technique
基金 河南省自然科学基金研究项目资助(163400510331)
关键词 多平台 跨区域考试系统 总线技术 软件开发 multi-platform cross region examination system bus technology software development
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  • 1丁卫平,邓伟,顾翔.基于Web智能阅卷考试系统的设计与实现[J].电气电子教学学报,2007,29(3):102-105. 被引量:9
  • 2VESE L, OSHER S. Modeling textures with total variation minimiza- tion and oscillating patterns in image processing[ J]. Journal of Sci- entific Compnting, 2003, 19(3): 553 -572.
  • 3YIX L, HU X Y, PENG S L. An operator-based and sparsity- based approach to adaptive signal separation[ C]//IEEE Internation- al Conference on Acoustics, Speech and Signal Processing, (IC- ASSP), Vancouver, BC :IEEE, 2013 : 6186 -6190.
  • 4HU X Y, PENG S L, HWANG W L. An integral operator based a- daptive signal separation approach [ C ]// IEEE International Confer- encc on Acoustics, Speech and Signal Processing, (ICASSP), Van- couver, BC:IEEE, 2013:6103 -6107.
  • 5ItUANG Y , G AO X. Clustering on heterogeneous networks [ J]. Wi- ley interdisciplinary reviews : Data mining and knowledge discovery, 2014, 4(3) : 213 -233.
  • 6Boden B, Ester M, Seidl T. Density - Based Subspaee Clustering in tleterogeneous Networks[ A]. Toon Calders. Floriana Esposito, Eyke Htillenneier, et al. Machine learning and Knowledge Discovery. in Datahases[ C]. Berlin Heidelberg: Springer, 2014:149 - 164.
  • 7张洁.Agent的制造系统调度与控制[M].北京:国防工业出版社,2013:18-21.
  • 8WU Kehe,CHEN Long,YE Shichao,et al.A load balancing algorithm based on the variation trend of entropy in homogeneous cluster[J].International journal of grid and distributed computing,2014,7(2):11-20.
  • 9刘庆.基于Web的工程训练考试系统的设计和实现[J].现代计算机,2010,16(1):168-171. 被引量:2
  • 10杨鹏.基于Web的C语言考试系统设计[J].中国科技信息,2010(5):117-119. 被引量:3

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