Optimization for online open communication network channel allocation algorithm

针对传统的通信网络信道分配方法进行信道分配时存在信道分配不准确及效率低的问题,提出一种基于干扰度与链路优先级划分的通信网络信道分配方法.由Posisson分布模型建立通信网络节点流量模型,对链路流量及干扰进行评估,建立干扰模型计算出对应干扰程度等级,结合流量模型及干扰模型对分配的信道设计权重值,根据计算出的权值作为选取信道的依据,并根据优先级对网络信道进行分配.实验结果表明,相比传统的信道分配算法,采用改进算法进行信道分配吞吐量较高,信道分配精确度好,具有一定的优势.In order to solve the problem that the inaccuracy channel allocation and low efficiency problem exist when the traditional communication network channel allocation method is used for channel allocation, a communication network channel allocation method based on the interference degree and link priority was proposed. The communication network node flow model was established with the Posisson distribution model to assess the link traffic and interference. In addition, the interference model was established, and the corresponding disturbance degree level was calculated. In combination with both flow model and interference model, the weight for the allocated channel was designed. The calculated weight was taken as the basis of selected channel, and the network channel was allocated according to the priority. The results show that compared with the traditional channel allocation algorithm, the improved algorithm for channel allocation has higher throughput and better channel allocation accuracy, and has a certain advantage. ? 2017, Editorial Department of Journal of Shenyang University of Technology. All right reserved.安徽省高校自然科学研究资助项目(KJHS2016B02);安徽省教育厅质量工程资助项目(2015ckjh089

Association between Serological Status and Fluctuation Modes of EBNA1/IgA and Risk of Nasopharyngeal Cancer

分析EB病毒核抗原1-IgA抗体(EBNA1-IgA)的不同状态及变化趋势,并探讨人群的鼻咽癌发病风险。检测中山市小榄镇2009~2010年入组; 的16 695位30~59岁参加鼻咽癌筛查人群血清,按首次筛查和随访中EBNA1/; IgA抗体状态将筛查人群进行分组,对照组为未参加筛查的两个镇区同年龄组人群,利用中山市肿瘤登记系统、死因登记系统随访至2014年12月31日,分; 析各组人群的鼻咽癌发病风险。与对照组相比,基线抗体阴性人群的发病风险比为0.46(95%CI; 0.25~0.86),基线抗体阳性人群的发病风险比为31.1(95%CI; 21.0~46.1);复查人群中上升组、持续阳性组的发病风险比分别为82.4(95%CI 36.1~188.2),26.4(95%CI; 12.3~52.5),而下降组和波动组中未见病例。EBNA1/IgA基线阳性人群在5年中有很高的发病风险,复查人群中上升组和持续阳性组也有很高的; 发病风险,下降组和波动组发病风险较低。We wished to analyze the risk of nasopharyngeal cancer(NPC)in a; population with different status and fluctuation modes of Epstein-Barr; nuclear antigen 1(EBNA1)/immunoglobulin A(IgA)antibody. Serology; detection was conducted in 16,695 participants screened for NPC(30~59; years)enrolled from 2009 to 2010 in Xiaolan Town,Zhonghan; City,China.Participants were divided into groups according to EBNA1/IgA; antibody status at baseline and follow-up.Subjects who did not undergo; screening in two neighboring towns of Xiaolan were designated the; control group.All study participants were followed up to 31December 2014; with linkage to a cancer registry.A population registry in Zhongshan; City was used to analyze NPC risk in different groups.Compared with the; control group,the relative risk(RR)of NPC in participants who were; sero-negative and sero-positive at baseline was 0.46(95%CI 0.25~0.86)and; 31.1(21.0~46.1),respectively.The RR of NPC in participants of the; ascending group and persist-positive group who underwent retesting was; 82.4(95% CI 36.1~188.2)and 26.4(12.3~52.5),respectively. No NPC cases; were observed in the descending group or fluctuating group.Individuals; in the ascending group,persist-positive group and those who were; EBNA1/IgA antibody-positive at baseline had a higher risk of NPC.A lower; risk of NPC in the descending group and fluctuating group was observed; compared with that in the control group.国家科技支撑计划; 中央补助地方卫生专项农村癌症早诊早治项

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies