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2016 Sixth International Conference on Information Science and Technology (ICIST)最新文献

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Capacity analysis and blind signals separation method of WSDM system under multiple sources condition 多信源条件下WSDM系统容量分析及盲信号分离方法
2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483392
Yufan Cao, Jianguo Zhang, Wei Zhao, Yue-hong Shen, Ke Wang
{"title":"Capacity analysis and blind signals separation method of WSDM system under multiple sources condition","authors":"Yufan Cao, Jianguo Zhang, Wei Zhao, Yue-hong Shen, Ke Wang","doi":"10.1109/ICIST.2016.7483392","DOIUrl":"https://doi.org/10.1109/ICIST.2016.7483392","url":null,"abstract":"Wireless statistic division multiplexing (WSDM) is a multiplexing scheme that transmits multiple signals simultaneously in the same frequency band over wireless channels. Based on the capacity of WSDM system when sources are just two, we extend the WSDM system model and analyze the capacity under multiple sources condition. Computer simulations show that WSDM method can raise the bandwidth efficiency greatly. What's more, how to separate time-frequency mixed signals in WSDM system with multiple sources is a difficult problem. We propose optimal linear separation method by applying Rayleigh quotient scheme. The closed form expression of separating matrix is derived according to the proposed method. Computer simulations also verify the proposed method is feasible and perform better than independent component analysis (ICA) method.","PeriodicalId":159643,"journal":{"name":"2016 Sixth International Conference on Information Science and Technology (ICIST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133316132","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
Maneuvering mathematical model and course control of POD-driven ship pod驱动船舶机动数学模型与航向控制
2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483428
Zaiji Piao, Chen Guo
{"title":"Maneuvering mathematical model and course control of POD-driven ship","authors":"Zaiji Piao, Chen Guo","doi":"10.1109/ICIST.2016.7483428","DOIUrl":"https://doi.org/10.1109/ICIST.2016.7483428","url":null,"abstract":"Podded propulsion ship is a new type of electric propulsion ship, through the detailed analysis of its characteristics of the mechanism, the maneuvering mathematical model of MMG(mathematical model group) mechanism was established, and it explained the podded electric propulsion ship has a better maneuverability. The actual podded propulsion ship course control was given a detailed introduction, on this basis, course controller based on LADRC (linear active disturbance rejection control) was designed, and it got a good result.","PeriodicalId":159643,"journal":{"name":"2016 Sixth International Conference on Information Science and Technology (ICIST)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115372469","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: 3
A quadtree-based hierarchical clustering method for visualizing large point dataset 基于四叉树的大点数据可视化分层聚类方法
2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483441
Qing-Qiu Cai, Yimin Zhou
{"title":"A quadtree-based hierarchical clustering method for visualizing large point dataset","authors":"Qing-Qiu Cai, Yimin Zhou","doi":"10.1109/ICIST.2016.7483441","DOIUrl":"https://doi.org/10.1109/ICIST.2016.7483441","url":null,"abstract":"Many digital map applications have the need to present large quantities of precise point data on the map. Such data can be PM2.5 value, weather information, population in towns, etc. With the development of Internet of Things, we expect such data will grow at a rapid pace. How to visualize such magnitude of data on mobile devices and web broswers becomes a problem. This paper describes a method for interactively visualizing such data, using a combination of grid-based clustering and hierarachical clustering, along with quadtree spatial indexing.","PeriodicalId":159643,"journal":{"name":"2016 Sixth International Conference on Information Science and Technology (ICIST)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122966147","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: 5
Design and implementation of parallel algorithms for sample adaptive offset in HEVC based on GPU 基于GPU的HEVC样本自适应偏移并行算法的设计与实现
2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483407
Weilong Zhang, Chengan Guo
{"title":"Design and implementation of parallel algorithms for sample adaptive offset in HEVC based on GPU","authors":"Weilong Zhang, Chengan Guo","doi":"10.1109/ICIST.2016.7483407","DOIUrl":"https://doi.org/10.1109/ICIST.2016.7483407","url":null,"abstract":"Sample Adaptive Offset (SAO) is a new component of in-loop filter in High Efficiency Video Coding (HEVC), the newest video coding standard. The SAO provides a superior image reconstruction quality at the cost of much higher computational complexity and it is more difficult to realize real-time coding when the image size is large, such as for high definition (HD) videos or ultra-HD videos. In this paper, we design the corresponding parallel algorithms for the SAO by exploiting GPU multi-core computing ability, including parallel computation of sample classification and statistics collection for each coding tree block (CTB), parallel calculation of the best offset values and minimum distortions for each class of edge offset (EO) and each band of band offset (BO), parallel processing of the SAO merging, and parallel implementation of SAO filtering. All the parallel algorithms are implemented on GPU programmed with CUDA language. Experimental results given in the paper show that, for HD video sequences, the parallel method can greatly improve the encoding efficiency of the SAO process with more than 22 times speedup while keeping the quality of reconstructed images unchanged, compared with the original serial algorithm implemented on CPU.","PeriodicalId":159643,"journal":{"name":"2016 Sixth International Conference on Information Science and Technology (ICIST)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124623684","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: 7
A distributed task scheduling strategy for massive mobile application security detection 面向大规模移动应用安全检测的分布式任务调度策略
2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483414
Tingyuan Luan, Chengze Li, Qi Li, Yan Zhang, Tian Luan
{"title":"A distributed task scheduling strategy for massive mobile application security detection","authors":"Tingyuan Luan, Chengze Li, Qi Li, Yan Zhang, Tian Luan","doi":"10.1109/ICIST.2016.7483414","DOIUrl":"https://doi.org/10.1109/ICIST.2016.7483414","url":null,"abstract":"A distributed scheduling strategy is designed in this paper for a security detection platform containing mass mobile applications. This strategy proposes a load-balancing algorithm, which is based on the dynamic feedback and achieves remarkable simplification and efficiency. It not only solves the problem that massive mobile applications are detected in slow speed, but also can support the expansion of this platform. Comparing with other traditional strategies, such as round-robin algorithm, this algorithm contributes to a more efficient scheduling results, and it has been testified by vast experiments.","PeriodicalId":159643,"journal":{"name":"2016 Sixth International Conference on Information Science and Technology (ICIST)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115888203","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
Oblique remote sensing image matching based on improved AKAZE algorithm 基于改进AKAZE算法的倾斜遥感图像匹配
2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483456
Yuxuan Liu, Chaozhen Lan, Fushan Yao, Lin Li, Canhai Li
{"title":"Oblique remote sensing image matching based on improved AKAZE algorithm","authors":"Yuxuan Liu, Chaozhen Lan, Fushan Yao, Lin Li, Canhai Li","doi":"10.1109/ICIST.2016.7483456","DOIUrl":"https://doi.org/10.1109/ICIST.2016.7483456","url":null,"abstract":"In order to address the matching problems of oblique remote sensing image with viewpoint change, geometric deformation and radiometric distortion, this paper presents a new point-based matching method which conducts feature extraction by building nonlinear space on simulation images derived from a full-range resample of the origin image. All distortions caused by the position change of camera are first modeled by different tilts images; then the feature points are localized by improved Accelerated-KAZE (AKAZE) algorithm, namely the feature points are detected in nonlinear space constructed by Fast Explicit Diffusion (FED) and variable conductance function, and the extracted feature points are described by improved SIFT descriptor; finally, Euclidean distance is used as similar metric to determine the correspondences and Random Sample Consensus (RANSAC) algorithm is employed to eliminate the false matches. In experiments of oblique images and UAV images, the number of feature points extracted by the proposed method is biggest, the effective correspondences are most and the correct matching ratio is highest among SIFT, ASIFT and our proposed algorithm. Thus, our proposed algorithm can be successfully used in oblique remote sensing image matching.","PeriodicalId":159643,"journal":{"name":"2016 Sixth International Conference on Information Science and Technology (ICIST)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122888827","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: 5
Adaptive RBF neural network control for unmanned surface vessel course tracking 无人水面舰艇航向跟踪的自适应RBF神经网络控制
2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483425
Cunhe Li, Yongsheng Zhao, Guofeng Wang, Yunsheng Fan, Yiming Bai
{"title":"Adaptive RBF neural network control for unmanned surface vessel course tracking","authors":"Cunhe Li, Yongsheng Zhao, Guofeng Wang, Yunsheng Fan, Yiming Bai","doi":"10.1109/ICIST.2016.7483425","DOIUrl":"https://doi.org/10.1109/ICIST.2016.7483425","url":null,"abstract":"This paper presents an adaptive Radial Basis Function (RBF) neural network controller for the nonlinear course control of unmanned surface vessel (USV) with modeling errors and unknown bounded environment disturbances. An adaptive RBF neural network system is employed to approximate the uncertain term induced by modeling errors and unknown bounded environment disturbances. It is theoretically proved that the proposed adaptive RBF neural network controller can make the USV be tracked the designed heading angle and turning rate with arbitrary accuracy, while guaranteeing the asymptotic stability of the closed-loop course tracking control system of USV. Comparative studies are carried out between the proposed control scheme and the PD control under the same control parameters, and the results show that the proposed control scheme has a good performance.","PeriodicalId":159643,"journal":{"name":"2016 Sixth International Conference on Information Science and Technology (ICIST)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126307990","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: 9
Design of the LFMCW radar middleware based on DM3730 基于DM3730的LFMCW雷达中间件设计
2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483453
Qingtian Wu, Xia Wang
{"title":"Design of the LFMCW radar middleware based on DM3730","authors":"Qingtian Wu, Xia Wang","doi":"10.1109/ICIST.2016.7483453","DOIUrl":"https://doi.org/10.1109/ICIST.2016.7483453","url":null,"abstract":"A middleware software used to connect radar scanning unit based on multicast mechanism and display unit based on unicast mechanism is designed and implemented, and by using the cooperation mechanism of ARM and DSP Dual-Core in DM3730, DSP core processes the realization of radar coordinate conversion algorithm to solve the problem of single-core ARM processor in data processing (packet loss). As can be seen from the measured results, the addition of middleware can not only guarantee normal communication between radar scanning unit and the display unit, improve portability of the display unit, but also optimize the display performance of the system to meet the performance needs of embedded systems.","PeriodicalId":159643,"journal":{"name":"2016 Sixth International Conference on Information Science and Technology (ICIST)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125957541","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
Moving object tracking method based on ultrasonic automatic detection algorithm 基于超声自动检测算法的运动目标跟踪方法
2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483468
Damei Fu, Z. Zhao
{"title":"Moving object tracking method based on ultrasonic automatic detection algorithm","authors":"Damei Fu, Z. Zhao","doi":"10.1109/ICIST.2016.7483468","DOIUrl":"https://doi.org/10.1109/ICIST.2016.7483468","url":null,"abstract":"Ultrasonic ranging system has been used in many applications. In order to realize precisely positioning motion objects, ultrasonic sensors are adopted to measure their motions, and then their 2D coordinates should be positioned. This will lead to complicated calculations and then yield to measurement errors with improperly designed programs. This study addresses a method to realize automatically tracking motion objects. Two ultrasonic sensors are selected and separately assembled on a small turntable by the same distance to the origin along the coordinate axis X and Y directions. By designing tracking algorithms, the turntable can be controlled to locate the motion object, with which complicated equation problems can be solved. With a well-designed control instruction sequences, it is able to precisely control timing period and effectively reduce measure error caused by irregular delay from traditional commands. Experiments show that these programs and methods are well deployed in parameters collection and status control system for motion objects.","PeriodicalId":159643,"journal":{"name":"2016 Sixth International Conference on Information Science and Technology (ICIST)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126168489","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: 1
Predicating photovoltaic power generation using an improved hybrid heuristic method 一种改进的混合启发式光伏发电预测方法
2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483443
Jie Li, Rui Wang, Zhang Tao, Xiaoyu Zhang, T. Liao
{"title":"Predicating photovoltaic power generation using an improved hybrid heuristic method","authors":"Jie Li, Rui Wang, Zhang Tao, Xiaoyu Zhang, T. Liao","doi":"10.1109/ICIST.2016.7483443","DOIUrl":"https://doi.org/10.1109/ICIST.2016.7483443","url":null,"abstract":"Due to the rapid growth of energy consumption and environmental issue, the use of photovoltaic (PV) power, has attracted many attentions since such energy is renewable and clean. This study proposes a simple yet effective method for PV power prediction in which a dividing-stage strategy is investigated and a hybrid heuristic, denoted as GAPSO (genetic algorithm and particle swarm optimization) is applied to optimize the BP (Back-Propagation) neural network. In comparison with GABP neural network, the hybrid GAPSOBP neural network achieves a higher accuracy for PV power prediction. Moreover, by incorporating the dividing-stage strategy into GAPSOBP neural network, the prediction accuracy is improved even further.","PeriodicalId":159643,"journal":{"name":"2016 Sixth International Conference on Information Science and Technology (ICIST)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115179682","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: 7
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