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2018 IEEE International Conference of Safety Produce Informatization (IICSPI)最新文献

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Research on Key Technology of VPN Protocol Recognition VPN协议识别关键技术研究
Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690472
Jinhai Zhang
With the VPN technology is widely used by enterprises and individuals, in order to guarantee the security of data transmission, VPN traffic has characteristics of encryption and privacy, but due to the increasing intensity of encryption, VPN routing protocol for the audit is more and more difficult, so the security of VPN network security technology has become a restricting factor for VPN protocol identification. In the field of VPN protocol recognition, the identification of encrypted data in VPN protocol is a key. Therefore, a new self correlation randomness detection algorithm is proposed in this paper.
随着VPN技术被企业和个人广泛应用,为了保证数据传输的安全性,VPN流量具有加密和隐私的特点,但由于加密强度的不断提高,VPN路由协议的审计难度越来越大,因此VPN网络安全技术的安全性成为制约VPN协议识别的一个因素。在VPN协议识别领域,对VPN协议中加密数据的识别是一个关键问题。为此,本文提出了一种新的自相关随机性检测算法。
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引用次数: 3
Elevator Traffic Pattern Recognition Based on Density Peak Clustering 基于密度峰值聚类的电梯交通模式识别
Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690418
Chen Benyao, Ruan Licheng, Ye Jian, Bi Jianzhong, Shi Shenke, Zhu Shaojun, Wu Mao-nian
Aiming at the shortcomings of traditional methods, this paper proposes an elevator traffic pattern recognition method based on density peak clustering algorithm. This method uses the cluster analysis of the passenger flow data of the previous week to obtain the cluster center coordinates of the corresponding traffic patterns. For real-time changes in elevator traffic data, using 5-minute passenger flow data, the cluster centers are selected based on the highest density and farthest distance from the higher density points, thereby identifying the current traffic pattern. Experiments show that the method can effectively recognize the elevator traffic pattern, is easy to implement, has fast calculation speed, and has a stable clustering effect, and can meet the real-time requirements of the group control system.
针对传统方法的不足,提出了一种基于密度峰值聚类算法的电梯交通模式识别方法。该方法通过对前一周的客流数据进行聚类分析,得到相应交通模式的聚类中心坐标。对于实时变化的电梯交通数据,利用5分钟的客流数据,根据密度最高的点和离密度较高点最远的距离选择聚类中心,从而识别当前的交通模式。实验表明,该方法能有效识别电梯交通模式,易于实现,计算速度快,聚类效果稳定,能满足群控系统的实时性要求。
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引用次数: 3
Study on Law of Scenario Evolution Based on Accident Statistics of Hazardous Chemicals Transportation 基于危险化学品运输事故统计的情景演化规律研究
Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690521
Xin Huang, Ming-guang Zhang, Jian Wang, Jiarui Chen
In recent years, China’s dangerous Chemicals transportation accidents have occurred frequently, and road transportation comprised a large proportion. We collected 982 cases of hazardous Chemical road transport accidents from 2013 to June 2018 and summarized the characteristics of accidents. We also analyzed the characteristics and laws of accidents in terms of sections, provinces, road types, hazardous varieties, loading, accident causes, accident consequences and accident emergency disposal time. The results show that the road transport accidents of hazardous Chemicals are closely related to the initial trafflc accidents. Rollover, tracking and impact are the main trafflc accidents. They usually develop the way of rollover-leakage, tracking-leakage, impact-leakage. Aiming at the evolution process, a map of probabilistic accident chain is drawn to reveal the probability distribution of various types of accidents in hazardous road transport and the weak points of accident evolution. Relative preventive measures are being proposed as well.
近年来,中国危险化学品运输事故频发,其中公路运输占很大比例。收集2013年至2018年6月982例危险化学品道路运输事故,总结事故特点。从路段、省份、道路类型、危险品种、载重、事故原因、事故后果、事故应急处置时间等方面分析了事故的特点和规律。结果表明,危险化学品道路运输事故与初始交通事故密切相关。侧翻、追尾和撞击是主要的交通事故。它们通常发展为侧翻泄漏、跟踪泄漏、冲击泄漏。针对事故演化过程,绘制了概率事故链图,揭示了危险道路运输中各类事故的概率分布和事故演化的薄弱环节。有关的预防措施也正在提出。
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引用次数: 5
Data analysis of traditional summative assessment and continuous assessment-Engineering Science Departments case study 传统总结性评价与连续性评价的数据分析——以工程科学系为例
Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690451
Yanxia Sun
Comparing with the traditional summative assessment, the continuous assessment is a minor assessment method in universities around the world. In the Faculty of Engineering and the Built Environment, University of Johannesburg, South Africa, the Department of Electrical Engineering Science applied the continuous assessment in the past five years in order to achieve better study performance while the Departments of Mechanical Engineering Science and Civil Engineering Science are still using the traditional summative assessment. It is necessary to analyse the performance of these two different assessment methods to find which method is better or more stable. In this paper, the traditional summative assessment and the continuous assessment are investigated and compared based on the pass rate of the modules/subjects of these three departments. The histograms and Wilcoxon signed-rank test are used to analyse the differences of these two assessment methods. From the statistical results of this case study, the pass rate of the traditional summative assessment is more stable than the continuous assessment. Finally the unexpected performance of the continuous assessment is investigated.
与传统的总结性考核相比,连续考核是世界各国大学的次要考核方式。在南非约翰内斯堡大学工程与建筑环境学院,为了取得更好的学习成绩,电气工程科学系在过去的五年里采用了连续考核,而机械工程科学系和土木工程科学系仍然使用传统的总结性考核。有必要对这两种不同的评估方法进行性能分析,找出哪种方法更好或更稳定。本文对传统的总结性考核和连续性考核进行了调查比较,以三个系的模块/科目通过率为依据。采用直方图和Wilcoxon sign -rank检验分析两种评价方法的差异。从本案例的统计结果来看,传统总结性考核的通过率比连续性考核的通过率更稳定。最后对连续评估的非预期性能进行了研究。
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引用次数: 1
Airspace Layout Methodology for Remote Support Jamming 远程支援干扰空域布局方法
Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690440
Wang Qinghao, Yao Dengkai
In order to make full use of airspace resources and quickly layout the airspace of remote support jamming, the interference region of the jammer is studied, the strategy of implementing interference is introduced, the effective interference segment is calculated. The remote support airspace layout model is quantified, in which the effects of interference, the use of airspace resources and interference resources, and the security of jammers are l considered. The improved gray wolf optimization algorithm (IGWO) is used to calculate the model. Finally, the long-distance support interference airspace planning that interferes with specific radars is simulated.
为了充分利用空域资源,快速布局远程支援干扰空域,研究了干扰机的干扰区域,介绍了干扰实施策略,计算了有效干扰段。对远程保障空域布局模型进行了量化,该模型考虑了干扰的影响、空域资源和干扰资源的利用以及干扰机的安全性。采用改进的灰狼优化算法(IGWO)对模型进行计算。最后,对干扰特定雷达的远距离保障干扰空域规划进行了仿真。
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引用次数: 0
Design of Marine Environment Monitoring System Based on Wireless Sensor Network 基于无线传感器网络的海洋环境监测系统设计
Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690380
Fugeng Zeng, Weisheng Li, Xinchen Guo
With the rapid development of marine industry, marine environmental protection has been put on the agenda. Therefore, the monitoring of the marine environment has become the focus of attention. This paper designs a marine environment monitoring system based on wireless sensor network, and presents the hardware design and software flow chart of sensor nodes. For each node, MSP430F149 is used as a microprocessor in hardware, CC2430 is used as communication module, and M25P80 is used as memory.
随着海洋产业的快速发展,海洋环境保护被提上了议事日程。因此,对海洋环境的监测已成为人们关注的焦点。本文设计了一种基于无线传感器网络的海洋环境监测系统,给出了传感器节点的硬件设计和软件流程图。对于每个节点,硬件采用MSP430F149作为微处理器,通信模块采用CC2430,存储器采用M25P80。
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引用次数: 3
An Advanced k Nearest Neighbor Classification Algorithm Based on KD-tree 一种基于kd树的高级k近邻分类算法
Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690508
Wenfeng Hou, Daiwei Li, Chao Xu, Haiqing Zhang, Tianrui Li
KNN (K Nearest-neighbor Classification) is a lazy learning classification algorithm, where it only memorizes the training dataset instead of providing a defined discriminative function. KNN tends to search the nearest neighbor(s) for a target in the entire training set, hence, the prediction step of KNN is quite time consuming. KD-tree (K Dimensional-tree) is a multi-dimensional binary tree, which is a specific storage structure for efficiently representing training data. Therefore, the paper takes the advantages of KNN and KD-tree and then proposes a new classification algorithm called KNN-KD-tree. Eleven datasets have been adopted to conduct experiments. The experiments have shown that the proposed KNN-KD-tree algorithm can efficiently reduce time complexity and significantly improve search performance.
KNN (K最近邻分类)是一种惰性学习分类算法,它只记忆训练数据集,而不提供定义的判别函数。KNN倾向于在整个训练集中搜索目标的最近邻居,因此,KNN的预测步骤相当耗时。KD-tree (K Dimensional-tree)是一种多维二叉树,是一种有效表示训练数据的特定存储结构。因此,本文利用KNN和KD-tree的优点,提出了一种新的分类算法KNN-KD-tree。采用了11个数据集进行实验。实验表明,所提出的KNN-KD-tree算法能够有效降低时间复杂度,显著提高搜索性能。
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引用次数: 31
Study on Ground Settlement of Tunnel Shield Construction Based on GRA 基于GRA的隧道盾构施工地面沉降研究
Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690477
Li Shiyu, Z. Yuhui, Tao Gang, Z. Lijing
In recent years, the accident statistics of shield tunneling in China's subway tunnels show that the collapse is the most frequent type of accident in subway construction projects. Once it occurs, it often results in group bodied injuries and major economic losses, and the social impact is serious. Due to the disturbance of the surrounding soil caused by the shield construction, uneven settlement on the ground and protective measures were not developed in time and then evolved into high-accident, high-caused collapse accidents. In addition to the engineering geological conditions in the shield construction, the tunneling speed, cutterhead torque, soil warehouses pressure, simultaneous grouting amount, simultaneous grouting pressure, and other parameters in the shield construction are also the main factors affecting ground settlement. This paper analyzes the grey connection degree between the settlement monitoring of a metro shield construction and the shield construction parameters in a certain city. It is concluded that the most important factor causing ground settlement is the pressure of the earth storage, and corresponding preventive measures are proposed for the subsequent tunnel shield construction. It is instructive to reduce surface subsidence and prevent it from becoming a collapse accident.
近年来,中国地铁隧道盾构施工事故统计表明,塌方是地铁施工项目中最常见的事故类型。一旦发生,往往造成集体人身伤害和重大经济损失,社会影响严重。由于盾构施工对周围土体的扰动,导致地面不均匀沉降和防护措施没有及时制定,进而演变为高事故、高致塌事故。除盾构施工中的工程地质条件外,盾构施工中的掘进速度、刀盘扭矩、土仓压力、同时灌浆量、同时灌浆压力等参数也是影响地面沉降的主要因素。分析了某城市地铁盾构施工沉降监测与盾构施工参数之间的灰色关联度。得出了引起地面沉降的最主要因素是土库压力,并对后续隧道盾构施工提出了相应的预防措施。对减少地表沉陷,防止地表沉陷演变为塌方事故具有指导意义。
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引用次数: 1
Research on Automatic Anti - skidding Technology of Vehicle Ice-snow Area 冰雪地区车辆自动防滑技术研究
Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690501
Q. Cheng, Yong Liu
This paper introduces the research status of the new technology of vehicle anti-skid technology at home and abroad, and designs a new type of snow-ice automatic snow chain on the 4x2 truck. The anti-skid device meets the longitudinal anti-skid requirements and drives attachment conditions of the vehicle when climbing on the ice and snow road with a great resistance to lateral forces of less than maximum lateral force of 32kN and a strong anti-skid ability.
本文介绍了国内外车辆防滑技术新技术的研究现状,并在4x2货车上设计了一种新型的冰雪自动防滑链。该防滑装置满足车辆在冰雪路面上爬坡时的纵向防滑要求,驱动车辆附着条件,抗侧向力大,最大侧向力小于32kN,防滑能力强。
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引用次数: 0
Design of Real-Time Communication Social Software Based on XMPP 基于XMPP的实时通信社交软件设计
Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690410
Xiao Dawei, Jiang Liqiu
A real-time communication social software based on XMPP is designed on iOS. On the iOS devices, users can use the software to share their message such as text, pictures, voice and video. It meets the needs of modern people for message sharing. The interface of this software is concise and modular, user-friendly to understand and use.
在iOS平台上设计了一个基于XMPP的实时通信社交软件。在iOS设备上,用户可以使用该软件分享他们的信息,如文本、图片、语音和视频。它满足了现代人对信息共享的需求。该软件界面简洁、模块化,易于理解和使用。
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引用次数: 0
期刊
2018 IEEE International Conference of Safety Produce Informatization (IICSPI)
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