{"title":"The Relationship Between ADT and MDADT Schemes for Switched Systems*","authors":"Qiang Yu, Yanping Guo, Jiangling Yan, Yijing Li","doi":"10.1109/YAC.2019.8787634","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787634","url":null,"abstract":"The relationship between ADT and MDADT schemes for switched systems is investigated. Some apparent flaws and misunderstandings in the existing literatures have been pointed out. The strengths and weaknesses of the stability results under two schemes are discussed for switched systems. The theoretical findings are also applicable to other types of stability problems for the system based on these two schemes. Finally, the effectiveness and validity of the obtained results can be seen from two numerical examples borrowed from the existing results.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"19 1","pages":"216-220"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75073217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exponential input-to-state stability of reaction-diffusion systems","authors":"M. Ren, Kaining Wu","doi":"10.1109/YAC.2019.8787708","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787708","url":null,"abstract":"Exponential input-to-state stability (ISS) is an interesting topic and has been paid much attention for the finite-dimensional system. The criterion of exponential ISS for reaction-diffusion systems (RDSs), an infinite dimensional system, is investigated in this paper. Both cases of RDSs with distributed input and boundary input are considered. By employing Lyapunov functional method and inequalities technical, sufficient conditions to guarantee the exponential ISS are obtained. Numerical examples are presented to verify the validity of our results.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"26 1","pages":"302-306"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75451909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qi Wang, Wenzhao Yu, Hui Feng, Ruidong Zheng, Chunlei Wang
{"title":"Intelligent Visual Ship Perceptual System Based On Cloud Platform","authors":"Qi Wang, Wenzhao Yu, Hui Feng, Ruidong Zheng, Chunlei Wang","doi":"10.1109/YAC.2019.8787612","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787612","url":null,"abstract":"The intelligent visual ship perceptual system based on cloud platform tends to improve the ship's identification and dispatching capabilities, so as to strengthen the safety and economy of ship navigation. Aiming at the problem of intelligent ship awareness is not enough, shipside calculation ability and ship-to-shore communications are inefficient, the cloud computing platform is presented to support the system to comprehensively process the video information captured by the camera and AIS (Automatic Identification System) information, for succeeding in realizing the target ship identification box selection, information tracking and matching functions. At the same time, it provides the landing cloud platform server interface for shore-based monitoring client and shipboard operator, which is helpful for shore-based auxiliary ship navigation.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"28 1","pages":"110-114"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73408731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Integrated Camera Parameters Calibration Approach for Robotic Monocular Vision Guidance","authors":"Xufeng Liang, Y. Du, Dongyu Wei","doi":"10.1109/YAC.2019.8787642","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787642","url":null,"abstract":"A core problem in robotics is to determine the position and orientation of an industrial robot in its working environment. The basic principle of vision-based robotic positioning technology relies on optical sensors that can provide tremendous amount of data. Monocular vision guidance of the robot requires firstly computing the intrinsic and extrinsic camera parameters from a set of physical features. In this paper, a camera calibration method combining Zhang Zhengyou's calibration method and PnP solution together is introduced to establish the three dimensional position and orientation of camera. Compared with other methods, this method does not require too much experimental data, it only requires the aid of a checkerboard and a white paper with several feature points. Moreover, the obtained camera parameters have high precision that can meet the requirements of a general robot monocular vision guiding system.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"457 1","pages":"455-459"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76499316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Unmanned Aerial Vehicle Anti-Capture with the Fusion of Ultrasonic and Visual Information","authors":"Yanlong Wang, Jian Zhang, Heng Zhang, Hongran Li, Qiyan Zang, Zhijie Zhang","doi":"10.1109/YAC.2019.8787702","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787702","url":null,"abstract":"This paper presents a novel algorithm that grants the unmanned aerial vehicle (UAV) power to evade the net-attack. This algorithm consists of four steps. First, ultrasonic sensors are used to detect the attack and measure the velocity and direction of the net. Next, the edge detection algorithm is used to note the net and estimate the size of the net. According to these data, the model could control the UAV to escape the attack. This mechanism is composed of low cost and high stable components, thus being apt for most UAVs. The application of the proposed approach in a simulation and engineering system indicates its effectiveness and practicability. We demonstrate the capability of the device and algorithm to evade the net-attack accurately and reliably.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"16 1","pages":"687-690"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83131780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Picking robot path planning based on improved ant colony algorithm","authors":"Yuke Liu, Qingyong Zhang, Lijuan Yu","doi":"10.1109/YAC.2019.8787592","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787592","url":null,"abstract":"With the increasing progress of agricultural production systems, the requirements for the degree of automation are also growing. As the most arduous picking link in the whole agricultural production, the development of picking robots has been paid more and more attention by experts and scholars. How to make the picking robot adapt to the complex and diverse agricultural production environment and effectively replace the manual operation, it is necessary to plan the path of the picking robot carefully. In this paper, a path planning method based on ant colony algorithm is proposed. The basic ant colony algorithm has the shortcomings of slow convergence speed and easy to fall into local optimum so that the final algorithm cannot meet the needs of the target. Firstly, the grid method is used to simulate the agricultural production environment to improve the applicability of path planning. Secondly, a new pheromone initialization scheme is proposed to improve the convergence speed because of the absence of pheromone in the initial time of the basic ant colony algorithm. Then, aiming at the problem that the basic ant colony algorithm is easy to fall into an optimal local solution, a new pheromone initialization scheme is proposed. The pheromone is added or subtracted to make the ant colony converge to the optimal path better. Finally, the performance of the algorithm is improved by choosing the appropriate heuristic function. Simulation experiments show that the path planning based on the improved ant colony algorithm has a good effect on the path planning process of the picking robot.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"50 1","pages":"473-478"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80809669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards a Deep Learning Autoencoder algorithm for Collaborative Filtering Recommendation","authors":"Hanting Chu, Xing Xing, Zhixin Meng, Zhichun Jia","doi":"10.1109/YAC.2019.8787614","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787614","url":null,"abstract":"Deep learning has received leapfrog progress in the realm of Machine learning such as image processing, speech recognition, the natural language processing, and recommendation systems. The traditional recommendation algorithm has existed the matter of cold start and data sparsity. To alleviate such problems, we propose a deep autoencoder algorithm for collaborative filtering recommendation AE-CF algorithm, which incorporates autoencoder and collaborative filtering recommended algorithms. The proposed AE-CF algorithm learn deep latent factors from users feature data and ratings. We evaluate the proposed AE-CF algorithm by applying the MovieLens dataset, a public dataset for movie recommendations. The experimental results demonstrate that AE-CF algorithm can effectively reduce the recommendation error and thus improve the recommendation quality.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"28 1","pages":"239-243"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80021224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Secure Network Coding System Against Wiretap Attacks","authors":"Wang Xuebing, Qin Na, Liu Yantao","doi":"10.1109/YAC.2019.8787724","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787724","url":null,"abstract":"Cyber security is a vital performance metric for networks. Wiretap attacks belong to passive attacks. It commonly exists in wired or wireless networks, where an eavesdropper steals useful information by wiretapping messages being shipped on network links. It seriously damages the confidentiality of communications. This paper proposed a secure network coding system architecture against wiretap attacks. It combines and collaborates network coding with cryptography technology. Some illustrating examples are given to show how to build such a system and prove its defense is much stronger than a system with a single defender, either network coding or cryptography. Moreover, the system is characterized by flexibility, simplicity, and easy to set up. Finally, it could be used for both deterministic and random network coding system.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"86 1","pages":"62-67"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78207046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhichao Sheng, Qingze Guan, Fanzhou Wang, Xiang Ji, Chenxing Wang
{"title":"Fringe Projected Profilometry on a Mobile Phone","authors":"Zhichao Sheng, Qingze Guan, Fanzhou Wang, Xiang Ji, Chenxing Wang","doi":"10.1109/YAC.2019.8787693","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787693","url":null,"abstract":"Until now, various kinds of methods for 3D modelling have been proposed and some have come into use. However, current available approaches generally require a precise and huge set-up, which greatly limits the using scenario. To get rid of the limit of equipment and enable convenient measurement, we propose a method to reconstruct a 3D model using fringe projected profilometry carried out on a mobile phone, taking advantage of the now high developed computation ability of smart phone. A fringe pattern can be projected by a mini-projector and the deformed fringe pattern is captured by the camera of a mobile phone. Through phase retrieval and calibration, the point cloud can be calculated and displayed on the mobile phone. The interface of the devices and the algorithms of the system are researched and implemented. Experiment results have proved the effectiveness of the system and the system can thus bring 3D modelling to a much larger application scenario.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"33 1","pages":"637-641"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90877797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Auction-based Channel Allocation and Power Control Algorithm for V2V Communications in VANETs","authors":"Yuxian Tao, Gongpu Chen","doi":"10.1109/YAC.2019.8787632","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787632","url":null,"abstract":"For vehicle-to-vehicle (V2V) communications in vehicular ad hoc networks (VANETs), dedicated short range communications (DSRC) technology using IEEE 802.11p protocol is widely used in communications among vehicles. However, the contention nature of carrier sense multiple access with collision avoidance (CSMA/CA) usually introduces high delay in end-to-end communications. In this paper, we propose a new model for device-to-device (D2D) underlay communications to express the average delay reduction of the system. Specifically, each vehicle user (VUE) pair can only select one cellular channel to reuse and each cellular channel can be reused by multiple VUE pairs simultaneously. Meanwhile, we design the valuation and utility function for the proposed model. The optimal resource allocation problem aims to maximize the delay reduction by assigning proper cellular channel and power for each VUE pair. We put forth a reverse iterative combinatorial auction algorithm to solve this problem. The effectiveness of the algorithm is evaluated through simulations.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"9 1","pages":"671-675"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87713093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}