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2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)最新文献

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Optimal Estimation for Continuous-Time Markov Jump Systems with Multiplicative Noise 带有乘性噪声的连续马尔可夫跳变系统的最优估计
Meng Su
This paper investigates the optimal estimation for continuous-time Markov jump linear (MJL) systems with multiplicative noises, where the multiplicative noise is with diagonal matrix form. Firstly, the complete mean square method is used to design the optimal MJL filter and the gain is obtained by solving the differential Ricatti equation. Secondly, the stable optimal filter is designed. Finally, a numerical example is given to show the efficiency of the method.
研究了具有乘性噪声的连续马尔可夫跳线性系统的最优估计问题,其中乘性噪声为对角矩阵形式。首先,采用完全均方法设计最优MJL滤波器,并通过求解微分Ricatti方程获得增益。其次,设计了稳定最优滤波器。最后通过数值算例说明了该方法的有效性。
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引用次数: 0
Simultaneous Image Compression and Encryption Via KPCA and CS 基于KPCA和CS的同步图像压缩和加密
Jinli Cheng, Xiangjun Wu
This paper introduces a novel image encryption algorithm by means of LSS-CML, compressive sensing (CS) and K-Principle Component Analysis (KPCA) method. Firstly, the original image is compressed using CS and the KPCA method, in which LSS-CML is utilized to construct the key-controlled pseudo-random measurement matrices. Then the compressed image is shuffled and diffused by the key streams produced from both the original image and LSS-CML. The initial conditions and parameters of LSS-CML are updated with the help of the original image and the hash function SUA-S12. Thus the key streams rely on both the plain-image and LSS-CML, which make the encryption approach resistance to the 2chosen-plaintext and known-plaintext attacks. Experimental results and performance analysis have verified the validity of the presented scheme.
介绍了一种基于LSS-CML、压缩感知(CS)和k -主成分分析(KPCA)方法的图像加密算法。首先,使用CS和KPCA方法对原始图像进行压缩,其中利用LSS-CML构造键控伪随机测量矩阵;然后由原始图像和LSS-CML产生的密钥流对压缩图像进行洗牌和扩散。利用原始图像和散列函数SUA-S12对LSS-CML的初始条件和参数进行了更新。因此,密钥流同时依赖于纯图像和LSS-CML,这使得加密方法能够抵抗2选择明文和已知明文攻击。实验结果和性能分析验证了该方案的有效性。
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引用次数: 0
Design and Implementation of a Voice Controlled Music Player System Based on iFLYTEK Open Platform 基于科大讯飞开放平台的声控音乐播放系统的设计与实现
Yufei Xia, Chengzhang Qu
In recent times, speech recognition technology has been applied in various industries, and it can control software to operation without touch which largely increase the convenience and friendliness of software application. In this paper, we design and implement a voice controlled music player using iFLYTEK open platform. The music player system which runs on android system integrates graphical touch control with intelligent voice control. The music player implements the operation of traditional graphical button interaction through voice interaction, which can replace some of the functions, such as playback control, song query, character input, etc. The system employs speech recognition API on iFLYTEK open platform. Our music player system can be woken up by speech recognition when the system is in suspend status. It has many other voice services, which facilitate the music player's interaction on mobile system. The experiment shows, it has high performance on software application and actual scenario use.
近年来,语音识别技术已经应用于各个行业,它可以控制软件进行非触摸操作,大大增加了软件应用的方便性和友好性。本文利用科大讯飞开放平台设计并实现了一个语音控制音乐播放器。在android系统上运行的音乐播放系统,集成了图形触摸控制和智能语音控制。该音乐播放器通过语音交互实现传统图形按钮交互的操作,可以代替播放控制、歌曲查询、字符输入等部分功能。系统采用科大讯飞开放平台上的语音识别API。我们的音乐播放器系统可以在系统处于挂起状态时通过语音识别唤醒。它有许多其他语音服务,方便音乐播放器在移动系统上的交互。实验表明,该方法在软件应用和实际场景使用上都具有较高的性能。
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引用次数: 1
A Dipole Imaging Method Based on Azimuthal Equidistant Projection 基于方位角等距投影的偶极子成像方法
Ming-ai Li, Bin Liu, Zi-wei Ruan
The temporal and spatial information of dipoles has been demonstrated to be very important in the decoding of MI-tasks. So, how to make full use of this information is very meaningful. In traditional dipole decoding methods, the spatial filters are applied to extract the spatial feature, which may not utilize the real position of the dipoles, resulting in a low recognition accuracy. In order to solve the problem, a dipole imaging method based on azimuthal equidistant projection (AEP) is proposed, named as AEPDI. Firstly, the dipoles coordinates and amplitudes within region of interest (ROI) and the region of time (TOI) are extracted; Then the 3D dipoles coordinates are projected onto XOY, XOZ and YOZ planes by AEP algorithm respectively. After a series of processing of the dipoles coordinates, the two-dimensional images of the dipoles are constructed. Finally, a multi-branch 3DCNN is designed to recognize the 3D feature data of the three planes. The abundant experiments show that dipole imaging method with the AEP algorithm can effectively improve the classification accuracy, and the multi-directional dipoles feature fusion achieves the highest classification accuracy.
偶极子的时空信息在mi任务的解码中起着非常重要的作用。因此,如何充分利用这些信息是非常有意义的。在传统的偶极子解码方法中,利用空间滤波器提取空间特征,可能无法利用偶极子的真实位置,导致识别精度较低。为了解决这一问题,提出了一种基于方位等距投影(AEP)的偶极子成像方法,称为AEPDI。首先,提取感兴趣区域(ROI)和时间区域(TOI)内的偶极子坐标和振幅;然后用AEP算法将三维偶极子坐标分别投影到XOY、XOZ和YOZ平面上。在对偶极子坐标进行一系列处理后,构造了二维偶极子图像。最后,设计了一个多分支的3DCNN来识别三个平面的三维特征数据。大量实验表明,结合AEP算法的偶极子成像方法可以有效提高分类精度,其中多向偶极子特征融合达到了最高的分类精度。
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引用次数: 1
UAV lateral-directional Control Based on Multi-input Multi-output L1 Adaptive Theory 基于多输入多输出L1自适应理论的无人机横向控制
Yongshun Wang, Yue Feng, Zonghua Sun, Liaoni Wu, Bin Xi
Considering lateral-directional control of an unmanned aerial vehicle (UA V), a multi-input multi-output (MIMO) control law design method based on L1 adaptive control theory is proposed. To improve the performance of the multi-variable coupling control system, a L1 adaptive controller is introduced in the basic controller which is designed with augmented linear-quadratic regulator (LQR). Compared with the structure for single-input single-output (SISO), the L1 adaptive controller with MIMO structure shows better dynamic characteristics, tracking performance and robustness for multi-variable coupled systems. Simulation verifications both in the nominal state and maneuvering flight of the MIMO L1 adaptive control system are described.
针对无人机的横向方向控制问题,提出了一种基于L1自适应控制理论的多输入多输出(MIMO)控制律设计方法。为了提高多变量耦合控制系统的性能,在基于增广线性二次型调节器(LQR)的基本控制器中引入L1自适应控制器。与单输入单输出(SISO)结构相比,MIMO结构的L1自适应控制器对多变量耦合系统具有更好的动态特性、跟踪性能和鲁棒性。描述了MIMO L1自适应控制系统在标称状态和机动飞行下的仿真验证。
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引用次数: 0
Research on Target Ranging Method Based on Binocular Stereo Vision 基于双目立体视觉的目标测距方法研究
Qingsheng Mu, Jun Wei, Zhugang Yuan, Y. Yin
Binocular vision is an important part of machine vision. This paper focuses on how to obtain the position information of the target in the three-dimensional space and designed a ranging method based on binocular stereo vision through the combination of software and hardware. Firstly, the binocular camera is calibrated to get the internal and external parameters, then the disparity map is obtained by stereo correction and matching. Finally, the 3D information is output by clicking the target on the disparity map, and through physical measurement distance to verify the reliability of the method.
双目视觉是机器视觉的重要组成部分。本文主要研究如何获取目标在三维空间中的位置信息,通过软硬件结合设计了一种基于双目立体视觉的测距方法。首先对双目摄像机进行标定,得到双目摄像机的内外参数,然后通过立体校正和匹配得到双目摄像机的视差图。最后通过点击视差图上的目标输出三维信息,并通过物理测量距离验证方法的可靠性。
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引用次数: 1
Computing Task Scheduling Strategy Based on ICS Algorithm 基于ICS算法的计算任务调度策略
Zongfeng Zou, Chen Liu
In view of the shortage of low resource utilization in cloud data center, this paper has carried out a lot of research on task scheduling in cloud computing environment, and proposed a cloud computing task scheduling algorithm based on ICS algorithm. In this model, the cuckoo search algorithm is improved by fitness threshold and adaptive step size, and a multi-objective function cloud computing task scheduling model is established, and a linearly weighted optimization function is constructed by the total execution time and total task cost indexes of all tasks. Compared with the other three main algorithms, the ICS algorithm is more effective in solving the task scheduling problem.
针对云数据中心资源利用率低的不足,本文对云计算环境下的任务调度进行了大量研究,提出了一种基于ICS算法的云计算任务调度算法。在该模型中,通过适应度阈值和自适应步长对布谷鸟搜索算法进行改进,建立了多目标函数云计算任务调度模型,并利用所有任务的总执行时间和总任务代价指标构建了线性加权优化函数。与其他三种主要算法相比,ICS算法在解决任务调度问题方面更为有效。
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引用次数: 1
Research on the Application of Information Technology in Equestrian Competition 信息技术在马术比赛中的应用研究
Gang Yu, Y. Xia
Information technology is the foundation and symbol of modern society, with the characteristics of high strategic, high innovative, high permeability, high investment and so on. The application of information technology in equestrian events mainly includes the event management system, referee electronic and event communication system, which plays a safeguard role in the management of equestrian events and plays a great role in promoting the development of equestrian sports.
信息技术是现代社会的基础和标志,具有高战略性、高创新性、高渗透性、高投入性等特点。信息技术在马术赛事中的应用主要包括赛事管理系统、裁判电子系统和赛事通信系统,它对马术赛事的管理起到保障作用,对马术运动的发展起到很大的推动作用。
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引用次数: 0
Risk Grade Evaluation of Debris Flow Based on GIS: Take Qu Shui County as an Example 基于GIS的泥石流风险等级评价——以曲水县为例
Juan Li, Dong Xiao
Debris flow is one of the most common geological disasters in China. Because of its complex mechanism, rapid disaster formation and great destruction, once it breaks out, it will seriously threaten people's production, life and property safety. One of the responsibilities and missions of the armed police force is rescue and disaster relief. How to minimize the harm of debris flow to people's lives and property safety is one of the key problems to be solved by the armed police force. In this paper, catastrophe progression and information model are used to determine the evaluation index system of debris flow risk grade, and the two index systems are used to complete the risk equivalent evaluation of debris flow disaster in Qushui county. The comparative analysis method is used to find out the risk evaluation index system suitable for the geographical environment characteristics of Qushui County.
泥石流是中国最常见的地质灾害之一。由于其机制复杂、形成迅速、破坏力大,一旦爆发,将严重威胁人们的生产、生命和财产安全。抢险救灾是武警部队的职责和任务之一。如何将泥石流对人民生命财产安全的危害降到最低,是武警部队要解决的重点问题之一。本文利用灾变级数和信息模型确定了泥石流危险性等级评价指标体系,并利用这两个指标体系完成了曲水县泥石流灾害危险性当量评价。采用比较分析法,找出适合曲水县地理环境特点的风险评价指标体系。
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引用次数: 0
A Study of Feeding Robot Based on RFID and Ultrasonic Obstacle Avoidance 基于RFID和超声波避障的喂哺机器人研究
Yanbin Wei, Peng Liu, Liming Wang
According to the environmental characteristics of the printing workshop, the free path planning and autonomous obstacle avoidance of the paper feeding robot in the printing workshop were studied by using RFID technology and ultrasonic sensor technology, the path planning system, obstacle avoidance system, control system and driving system are designed and developed, and the experimental prototype is made. The robot's self-guidance and automatic obstacle avoidance are simulated in the laboratory environment. The results show that in the environment as printing workshop with the stations are relatively fixed but surroundings are complex and changeable, paper conveying robot has the advantages of flexible path change and low cost, not easy to be affected by environment and so on. This method provides a feasible reference for robot self-guidance and obstacle avoidance in dynamic environment, and has a broad application in prospect.
根据印刷车间的环境特点,采用RFID技术和超声波传感器技术对印刷车间送纸机器人的自由路径规划和自主避障进行了研究,设计开发了路径规划系统、避障系统、控制系统和驱动系统,并制作了实验样机。在实验室环境下对机器人的自主导航和自动避障进行了仿真。研究结果表明,在工位相对固定但环境复杂多变的印刷车间环境中,纸张输送机器人具有路径变换灵活、成本低、不易受环境影响等优点。该方法为机器人在动态环境下的自主导航和避障提供了可行的参考,具有广阔的应用前景。
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2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)
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