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2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)最新文献

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An Optics Sensor Using Nonliear Dynamical Sensitivity 一种非线性动态灵敏度光学传感器
Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339715
Yang Senlin
The nonlinear dynamical sensitivity of a semiconductor laser with an additional degree of freedom is proposed to apply in a coherent light detector or a optics sensor, where an optoelectronic time-delay feedback semiconductor laser, having a high nonlinear dynamical instability, is presented as a sensing system or a reference laser. From the view of physical mechanism, we find the stable points of laser system is changed with an external coherent light injection levels in theory. Which results in new stable points showing and also implies a high instability dynamics happening. Dynamical behavior of the referent laser is changed by the injected coherent light while its dynamics behavior is monitored by detecting its behavior change. A novel double-cycle laser coherent light sensor is studied and analyzed via the above nonlinear physical mechanism while its physical model is presented and the stable points of laser system are discussed. We find that the sensor can recognize accurately an injected coherent light signal from both intensity and frequency detuning while the injected coherent light can be measured by detecting the change of the laser output behaviors. The obtained result illustrates that this sensor is very useful for us study to some new optics sensors and photoelectric detectors.
提出了一种具有附加自由度的半导体激光器的非线性动态灵敏度应用于相干光探测器或光学传感器,其中光电时滞反馈半导体激光器具有较高的非线性动态不稳定性,可作为传感系统或参考激光器。从物理机理上发现,激光系统的稳定点随着外部相干光注入量的变化而发生变化。这导致新的稳定点的出现,也意味着高不稳定动力学的发生。通过注入相干光改变参考激光器的动力学行为,通过检测其动力学行为的变化来监测其动力学行为。通过上述非线性物理机理,对一种新型双周期激光相干光传感器进行了研究和分析,建立了其物理模型,讨论了激光系统的稳定点。研究发现,该传感器能够准确识别注入的相干光信号,并通过检测激光输出特性的变化来测量注入的相干光。实验结果表明,该传感器对研制新型光学传感器和光电探测器具有重要的指导意义。
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引用次数: 0
Realization of ship route supervision platform system based on Beidou short message communication 基于北斗短报文通信的船舶航路监控平台系统的实现
Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339735
Qing An, Luyan Zheng, Liang Wu, Shusen Wu
In view of the blind area and high cost of the traditional means of ship supervision, a set of Beidou ship route supervision platform system is designed based on the positioning, speed measurement, time service of Beidou satellite navigation system, and the special short message two-way communication and function of Beidou generation. It is applied to the ship route supervision of Wuhan port and Waterway Bureau at work. The results show that the system can realize real-time positioning, speed measurement, precise timing, ship to ship, ship monitoring center and authorized mobile phone short message two-way communication without relying on other communication technology. In addition, it has anti-collision alarm, track deviation alarm and other functions, as well as the advantages of all-weather, no blind area, low charges and high reliability, so it has great practical value.
针对传统船舶监管手段存在盲区和成本高的问题,基于北斗卫星导航系统的定位、测速、授时,结合北斗特有的短报文双向通信和生成功能,设计了一套北斗船舶航路监管平台系统。适用于武汉港水局船舶航路监管工作。结果表明,该系统可实现实时定位、测速、精确授时、船对船、船监中心与授权手机短信双向通信,无需依赖其他通信技术。此外,它还具有防碰撞报警、轨道偏离报警等功能,以及全天候、无盲区、收费低、可靠性高的优点,因此具有很大的实用价值。
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引用次数: 4
Design and Implementation of an Interactive Information System for University Education under the Cloud Service Model 云服务模式下高校教育交互式信息系统的设计与实现
Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339620
Lihu Lu
This paper designs and implements an interactive information system for university education under the cloud service model. The Ruby-based Rails framework and Apana Studio integration environment are used to develop the system, and the object-relational database Posture SQL is chosen to manage structured data and support multiple types of Value. With two levels of global and local authentication, user information is synchronized and interconnected between homogeneous clouds, enabling identity management capabilities. The overall framework of the system is built with the model-view-control architecture pattern and RESTful architecture style. After testing, the platform is a comprehensive teaching and learning system that can perform the functions of creating new courses, managing assignments, initiating discussions, stage evaluation, etc. The visual interface is easy to operate, which can make the traditional education mode more diversified, and can also refer to the operation mode of Mujiao class. After the system and module testing, the test results show that it meets the design requirements of the platform and module.
本文设计并实现了一个基于云服务模式的交互式高校教育信息系统。系统采用基于ruby的Rails框架和Apana Studio集成环境进行开发,选择对象关系数据库Posture SQL管理结构化数据,支持多种类型的Value。通过两种级别的全局和本地身份验证,用户信息可以在同构云之间进行同步和互联,从而实现身份管理功能。系统的总体框架采用模型-视图-控制体系结构模式和RESTful体系结构风格构建。经过测试,该平台是一个综合性的教与学系统,可以实现新课创建、作业管理、讨论发起、阶段评价等功能。直观的界面易于操作,可以使传统的教育模式更加多样化,也可以参考木角课的运营模式。经过系统和模块的测试,测试结果表明满足了平台和模块的设计要求。
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引用次数: 0
Research on the Application of Big Data and Visualization Technology in Power Video Monitoring System 大数据与可视化技术在电力视频监控系统中的应用研究
Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339627
Feng Weixi, Li Qing, Tian Songlin, Z. Hai, Luo Yulin
In the big data cloud platform system, users can share information instantly in different time and space, and the information transmission capability of the video surveillance system is greatly improved through the Internet. The application of big data visualization technology will be beneficial to large-scale data analysis efficiently. In this paper, the power big data and visualization technology are summarized firstly, and then the specific application of power big data in power video surveillance system is discussed, including data mining technology, customer classification analysis decision model and classification index system design, and the design and implementation of visualization platform are also discussed.
在大数据云平台系统中,用户可以在不同的时间和空间即时共享信息,通过互联网大大提高了视频监控系统的信息传输能力。大数据可视化技术的应用将有利于大规模数据的高效分析。本文首先对电力大数据和可视化技术进行了概述,然后讨论了电力大数据在电力视频监控系统中的具体应用,包括数据挖掘技术、客户分类分析决策模型和分类指标体系设计,以及可视化平台的设计与实现。
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引用次数: 0
A Malicious URL Detection Method Based on CNN 基于CNN的恶意URL检测方法
Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339761
Yu Chen, Yajian Zhou, Qi Dong, Qi Li
In recent years, phishing events occur frequently, and the detection of phishing URL has become a common concern in the field of network security. In previous studies, researchers distinguish phishing URLs from normal URLs by the string characteristics. However, this method is difficult to achieve efficient detection accuracy in the case of attacker's forgery of URL features. In this paper, we propose a phishing URL detection method based on URL content. Firstly, the simple features are used for preliminary screening, and then, the URLs that cannot be distinguished by simple features are input into the simulation environment to obtain the page content. Finally, the method based on CNN is used to detect malicious URLs based on the page content. Experiments show that our method can achieve satisfying detection accuracy.
近年来,网络钓鱼事件频发,网络钓鱼URL的检测成为网络安全领域普遍关注的问题。在之前的研究中,研究人员通过字符串特征来区分钓鱼url和正常url。然而,在攻击者伪造URL特征的情况下,这种方法很难达到高效的检测精度。本文提出了一种基于URL内容的网络钓鱼URL检测方法。首先利用简单特征进行初步筛选,然后将简单特征无法区分的url输入到仿真环境中,获得页面内容。最后,利用基于CNN的方法基于页面内容检测恶意url。实验表明,该方法能够达到满意的检测精度。
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引用次数: 2
Image Recognition-Based Design of Intelligent Railway Station Diversion System 基于图像识别的智能火车站导流系统设计
Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339742
H. Li, Guocheng Liu
Considering that high passenger flow of railway stations in major cities in China is prone to safety hazards of dense crowds, image recognition-based intelligent railway station diversion system is proposed to solve the problem of local crowding. Through the automatic guidance and intelligent diversion functions of the automatic intelligent diversion system, each passenger can be smoothly guided to the destination for boarding, which solves passengers' difficulties in entering the station and finding the designated waiting room, thereby improving passengers' efficiency in entry and exit and helping ease the problem of passenger congestion in railway station.
针对中国主要城市火车站客流大,容易出现密集人群的安全隐患,提出基于图像识别的智能火车站导流系统,解决局部拥挤问题。通过自动智能导流系统的自动引导和智能导流功能,将每一位旅客顺利引导到目的地上车,解决了旅客进站难、找不到指定候车室的问题,从而提高了旅客进出站效率,有助于缓解火车站的旅客拥堵问题。
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引用次数: 0
The Influence of Thermal Imager Parameters on the Accuracy of Infrared Thermal Imager 热像仪参数对红外热像仪精度的影响
Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339617
Xia Zhao, Zilong Zhao, Fang Guo, Xiwen Zhang, Qufei Shi, Jian Wu
Infrared temperature measurement has attracted great attention because of these unique advantages for low cost and expanded applications, especially with the development of computer technology and semiconductor technology, the performance parameters and manufacturing level of infrared thermal imager have been obviously improved. However, in practice, the temperature of the tested object measured by infrared thermal imager cannot be guaranteed to be the real temperature of the object. Therefore, this study provides a new experimental method for improving the measurement accuracy of the object under the condition of changeable off-site environment, and calibrate the temperature measuring system and internal parameters of infrared thermal imager. The results indicate that the farther the measuring distance, the greater the temperature measurement error, and which will not met the requirements of temperature measurement accuracy. The atmospheric transmittance has not relationship with the temperature characteristics of the measured object. This study will improve the temperature measurement accuracy of infrared thermal imager.
红外测温因其成本低、应用广泛等独特优势而备受关注,特别是随着计算机技术和半导体技术的发展,红外热像仪的性能参数和制造水平有了明显提高。但在实际应用中,红外热像仪测量的被测物体温度并不能保证是被测物体的真实温度。因此,本研究为提高多变的异地环境下对目标的测量精度,以及对红外热像仪测温系统和内部参数进行标定提供了一种新的实验方法。结果表明,测量距离越远,测温误差越大,不能满足测温精度的要求。大气透过率与被测物体的温度特性无关。该研究将提高红外热像仪的测温精度。
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引用次数: 1
Effect of adding seed nuclei on acoustic agglomeration efficiency of natural fog 加入种子核对自然雾声团聚效率的影响
Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339685
Chang Liu, Yun Zhao, Zhangfu Tian, Hefeng Zhou
Acoustic agglomeration is a promising weather modification technology. The existing simulation and experimental studies on acoustic wave fog dissipation show that the time required to achieve the ideal agglomeration effect is basically 100 s or even 1000 s and above. The timeliness of fog dissipation operation is poor. Based on the particle population balance model, this paper simulated the effect of external seed nuclei on acoustic agglomeration under the condition of natural fog. The simulation results show: the addition of large particle swarm has a great promotion on fog dissipation. 1) When large particles are added beyond the original range of droplet spectrum, the agglomeration efficiency increases with the increase of seed nuclei concentration, and the agglomeration promotion rate can reach up to 81.99%. Complete agglomeration only need 2 min. 2) When large particle sizes are within the range of the original droplet spectrum and the concentration of the seed nuclei swarm is higher than the original concentration, the agglomeration efficiency increases with the increase of nuclei's concentration; When the concentration of the added seed nuclei swarm is lower than the original concentration, there exists an optimal concentration, which is 1/10 of the original concentration. At this time, the concentration of the added particles is low and the agglomeration time is reduced by nearly half. 3) The addition of small particles has no obvious promoting effect on agglomeration, and becomes weaker with the increase of concentration.
声凝聚是一种很有前途的人工影响天气技术。现有的声波雾耗散仿真和实验研究表明,达到理想集聚效果所需的时间基本在100秒甚至1000秒以上。消雾作业时效性差。本文基于粒子群平衡模型,模拟了自然雾条件下外粒核对声团聚的影响。仿真结果表明:大粒子群的加入对雾的消散有很大的促进作用。1)在原有液滴光谱范围之外添加大颗粒时,随着种核浓度的增加,团聚效率也随之提高,促进团聚率可达81.99%。2)当大颗粒粒径在原液滴谱范围内且种子核群浓度高于原浓度时,团聚效率随核浓度的增加而增加;当添加的种子核群浓度低于初始浓度时,存在一个最优浓度,为初始浓度的1/10。此时,添加的颗粒浓度较低,团聚时间缩短了近一半。3)小颗粒的添加对团聚没有明显的促进作用,且随着浓度的增加而减弱。
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引用次数: 0
Product Recommendation Algorithm Combining Network Structure and Text Attributes 结合网络结构和文本属性的产品推荐算法
Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339709
Wen Hu, Changshun Ge
Most traditional recommendation algorithms rely on common scoring items between users when making product recommendations. The data is highly sparse and the recommendation effect is not good. Therefore, an improved collaborative filtering recom-mendation algorithm is proposed. Based on user purchase rec-ords, the algorithm uses a representation learning method to construct a user product network, obtains the low-dimensional em-bedded semantic relationship between users and product no-des, and uses cosine similarity to measure the semantic similarity between products. Then, according to the hidden Dirichlet topic distribution model, the topic features of the products are obtained, and the cosine similarity is used to calculate the similarity of the topic features between the products. The linear fusion method is adopted to effectively alleviate the data sparse problem and improve the recommendation performance. Through Amazon product reviews Data set to verify the effectiveness of the recommendation algorithm.
大多数传统的推荐算法在进行产品推荐时依赖于用户之间的共同评分项。数据高度稀疏,推荐效果不佳。为此,提出了一种改进的协同过滤推荐算法。该算法基于用户购买记录,采用表示学习的方法构建用户产品网络,获得用户与产品之间的低维嵌入语义关系,并使用余弦相似度度量产品之间的语义相似度。然后,根据隐狄利克雷主题分布模型,得到产品的主题特征,并利用余弦相似度计算产品之间主题特征的相似度。采用线性融合方法,有效缓解了数据稀疏问题,提高了推荐性能。通过亚马逊产品评论数据集验证推荐算法的有效性。
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引用次数: 0
Adjustment Design of Motion Rhythm of 3D Animation Based on Feature Extraction and Recognition 基于特征提取与识别的三维动画运动节奏调整设计
Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339728
Yang Zhang
With the promotion of social development and the arrival of modern information technology, the computer hardware and software technology have developed rapidly, and the efficiency of animation production has been continuously improved until the emergence of 3D animation. There are two trends in three-dimensional animation teaching: action design and modeling form. The design and modeling of characters in design largely determines the popularity of an animation work. In three-dimensional animation, the law of character movement is a kind of animation artistic expression with both artistic expression and technical operation. The law of motion is the basis of all actions, and it is the basis of action in the process of character action design. In this paper, the characteristics of character movements in animation are analyzed, and the methods to improve character animation skills are put forward. Based on feature extraction and recognition technology, this paper analyzes the adjustment design of characters' movement rhythm in 3D animation, and explores the key points of characters' movement design in 3D animation.
随着社会发展的推动和现代信息技术的到来,计算机软硬件技术发展迅速,动画制作的效率不断提高,直到3D动画的出现。三维动画教学有两个趋势:动作设计和造型形式。设计中人物的设计和造型在很大程度上决定了一部动画作品的受欢迎程度。在三维动画中,人物运动规律是一种兼具艺术表现力和技术操作性的动画艺术表现形式。运动规律是一切行动的基础,是人物行动设计过程中的行动基础。本文分析了动画中人物动作的特点,提出了提高人物动画技巧的方法。基于特征提取和识别技术,分析了三维动画中人物动作节奏的调整设计,探讨了三维动画中人物动作设计的关键点。
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引用次数: 0
期刊
2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)
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