Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control最新文献_第2页

An Adaptive Integral Sliding Mode Tracking Control for Robotic Manipulators 机械臂的自适应积分滑模跟踪控制

Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control Pub Date : 2019-09-25 DOI: 10.1145/3386164.3387260

A. Vo, Hee-Jun Kang, T. Le

引用次数: 0

Unmanned Surface Vehicle Prototype with Obstacle Avoidance System Area: Applications and Evaluation of Real-Time Big Data Systems 具有避障系统的无人水面车辆原型研究领域:实时大数据系统的应用与评估

Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control Pub Date : 2019-09-25 DOI: 10.1145/3386164.3390514

Mahmood Al-Tekreeti, S. Özyer, Can Özdemir, Altuğ Karadağ, Saad Al-Dakheel

引用次数: 0

Research on Denoising Localization Algorithm for Positioning Laser Spots and Noise Spots Interlaced Image 激光斑点与噪声斑点交错图像定位的去噪定位算法研究

Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control Pub Date : 2019-09-25 DOI: 10.1145/3386164.3387258

Tao He, Wenting Sheng, Shuaifang Wen, Xing Wang, Wenchao Liu, Liangen Yang

{"title":"Research on Denoising Localization Algorithm for Positioning Laser Spots and Noise Spots Interlaced Image","authors":"Tao He, Wenting Sheng, Shuaifang Wen, Xing Wang, Wenchao Liu, Liangen Yang","doi":"10.1145/3386164.3387258","DOIUrl":"https://doi.org/10.1145/3386164.3387258","url":null,"abstract":"In the industrial production, both ceiling lighting and sunlight through the ceiling in the workshop can cause noise spots in the image acquired in the CCD laser online positioning system. Moreover, these ambient noise spots are interlaced with the positioning laser spots in the image, which makes it difficult to obtain the position information of the positioning laser spots accurately. Aiming at this problem, in this paper, according to the geometric characteristics of both positioning laser spots and ambient noise spot, a denoising localization algorithm for positioning laser spots and noise spots interlaced image is proposed, and the cylindrical bar positioning system is used as the experimental object to verify the algorithm. The algorithm steps are as follows, firstly the noise spot is located according to the geometric characteristics of the two kinds of spots, and the non-overlapping region of the two kinds of spots are identified at the same time. Secondly, the noise spots in the non-overlapping area are eliminated. Finally, the existing Blob positioning algorithm is slightly modified to complete the accurate extraction of the position coordinates of the positioning laser spots pixel. The algorithm can effectively eliminate the ambient noise spots on the premise of ensuring that the positioning laser spots are not damaged, and accurately realize the measurement of the position coordinates of the positioning laser spots pixel.","PeriodicalId":231209,"journal":{"name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126227830","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}

引用次数: 0

Singing Evaluation based on Deep Metric Learning 基于深度度量学习的歌唱评价

Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control Pub Date : 2019-09-25 DOI: 10.1145/3386164.3389096

Terry Tan

引用次数: 3

Deep Learning Based Code Completion Models for Programming Codes 基于深度学习的编程代码补全模型

Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control Pub Date : 2019-09-25 DOI: 10.1145/3386164.3389083

Shuai Wang, Jinyang Liu, Ye Qiu, Zhiyi Ma, Junfei Liu, Zhonghai Wu

{"title":"Deep Learning Based Code Completion Models for Programming Codes","authors":"Shuai Wang, Jinyang Liu, Ye Qiu, Zhiyi Ma, Junfei Liu, Zhonghai Wu","doi":"10.1145/3386164.3389083","DOIUrl":"https://doi.org/10.1145/3386164.3389083","url":null,"abstract":"With the fast development of Information Technology, program software and mobile applications have been widely used in the world, and are playing important roles in human's daily life. Thus, writing programming codes has been important work in many fields. however, it is a hard and time-cost task which presents a great amount of workload to programmers. To make programmers' work easier, intelligent code completion models have been a popular research topic in recent years. This paper designs Deep Learning based models to automatically complete programming codes, which are LSTM-based neural networks, and are combined with several techniques such as Word Embedding models in NLP (Natural Language Processing), and Multihead Attention Mechanism. Moreover, in the models, this paper raises a new algorithm of generating input sequences from partial AST (Abstract Syntax Tree) that have most relevance with nodes to be predicted which is named as RZT (Reverse Zig-zag Traverse) Algorithm, and is the first work of applying Multihead Attention Block into this task. This paper makes insight into codes of several different programming languages, and the models this paper presents show good performances in accuracy comparing with the state-of-art models.","PeriodicalId":231209,"journal":{"name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131798640","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}

引用次数: 4

A Computationally Efficient Tracking Scheme for Localization of Soccer Players in an Aerial Video Sequence 航拍视频序列中足球运动员定位的高效跟踪方法

Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control Pub Date : 2019-09-25 DOI: 10.1145/3386164.3389091

R. Aoki, T. Oki, Hiro Yokokawa, R. Miyamoto

引用次数: 1

Adaptive Neural Sliding Mode Control for 3-DOF Planar Parallel Manipulators 平面三自由度并联机器人的自适应神经滑模控制

Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control Pub Date : 2019-09-25 DOI: 10.1145/3386164.3387261

Thanh Nguyen Truong, Hee-Jun Kang, T. Le

{"title":"Adaptive Neural Sliding Mode Control for 3-DOF Planar Parallel Manipulators","authors":"Thanh Nguyen Truong, Hee-Jun Kang, T. Le","doi":"10.1145/3386164.3387261","DOIUrl":"https://doi.org/10.1145/3386164.3387261","url":null,"abstract":"This paper proposes a combination between a neural network and an adaptive sliding mode control for trajectory tracking control of a 3-DOF planar parallel manipulator. It has a complicated dynamic model, including modelling uncertainties, frictional uncertainties and external disturbances. The proposed control algorithm is to use a PID sliding mode surface, an adaptive sliding mode controller with a neural network to overcome the drawback of the traditional sliding mode controllers, such as slow response rate with variation of uncertainties and external disturbances, chattering, and upper bound values of undefined dynamics which affects system performance, high wear of moving mechanical parts and high heat losses in power circuits. The radial basis function neural network is designed to compensate for uncertainties and external disturbances, which allows small switching gain. Hence, the chattering can be significantly reduced. In addition, an adaptive control law is used to adaptively converge small switching gains of the sliding mode controller as the neural network reduces model uncertainties. The effectiveness of the proposed control strategy is demonstrated by simulations which are conducted by using the combination of Sim-Mechanics and SolidWorks.","PeriodicalId":231209,"journal":{"name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124973286","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}

引用次数: 4

A Compensation Method for FOG Temperature Drift Error Based on Double-section Polynomial Fitting 基于双段多项式拟合的光纤陀螺温度漂移误差补偿方法

Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control Pub Date : 2019-09-25 DOI: 10.1145/3386164.3386179

Yang Li, Ke Chen, Liu-wei Mao

引用次数: 1

A Secure CBIR Method based on Bag-of-Visual-Words Model under Cloud Environment 云环境下基于视觉词袋模型的安全CBIR方法

Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control Pub Date : 2019-09-25 DOI: 10.1145/3386164.3389099

Yanyan Xu, Xiao Zhao, Jiaying Gong

{"title":"A Secure CBIR Method based on Bag-of-Visual-Words Model under Cloud Environment","authors":"Yanyan Xu, Xiao Zhao, Jiaying Gong","doi":"10.1145/3386164.3389099","DOIUrl":"https://doi.org/10.1145/3386164.3389099","url":null,"abstract":"Cloud computing platform has powerful computing capacity and nearly infinite resource pool, which provides a strong guarantee for mass data storage and computing. Considering double security threats from malicious external attackers and \"honest-but-curious\" CSP (cloud service provider), users need to encrypt images to ensure the data security before outsourcing images to cloud. But encryption can have an impact on the necessary data services, such as content based image retrieval (CBIR). A secure CBIR method based on BoVW (Bag of Visual Words) model under cloud environment is proposed in the paper. Images are expressed as frequency histogram by BoVW model, orthogonal decomposition is utilized to divide it into two individual parts of component coefficients thus encryption operation and feature extraction operation can be executed separately, and orthogonal composition is used to fuse the encrypted operation results to construct secure image index. After encrypted image index and encrypted images are outsourced to CSP, distance comparison can be executed by CSP on feature extraction field without violating data privacy. Encrypted images with the closest distance to query trapdoor are returned to users to decrypt and obtain plain images. Any encryption algorithms can be used to encrypt images and search index by using orthogonal transformation, so that the proposed method is practicable. Retrieval precision is improved and better performance are achieved by using BoVW model. The security analysis and experimental results show our scheme has obvious advantages in security and retrieval performance.","PeriodicalId":231209,"journal":{"name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","volume":"07 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127260378","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}

引用次数: 0

Modal Regression Estimation for Heteroscedastic Single-Index Model 异方差单指标模型的模态回归估计

Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control Pub Date : 2019-09-25 DOI: 10.1145/3386164.3390517

Waled Khaled, Jinguan Lin

引用次数: 0