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

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Baseband OFDM phase modulation system for visible light communication 用于可见光通信的基带OFDM相位调制系统
2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483452
Gui-Teng Xie, Hong-Yi Yu, Yi-jun Zhu
{"title":"Baseband OFDM phase modulation system for visible light communication","authors":"Gui-Teng Xie, Hong-Yi Yu, Yi-jun Zhu","doi":"10.1109/ICIST.2016.7483452","DOIUrl":"https://doi.org/10.1109/ICIST.2016.7483452","url":null,"abstract":"In the visible light communication (VLC) orthogonal frequency-division multiplexing (OFDM) systems, the peak-to-average power ratio (PAPR) of OFDM signals is the primary concern of the transmission performance. In order to obtain low PAPR signals, we report and experimentally demonstrate a phase modulated OFDM system. The system can be reach 1.2Gbit/s under the standard illuminance level. And the bit-error ratio (BER) of the received data is under 3.8 × 10-3, which is within the limit of common forward error correction (FEC) coding. The transmission distance can be reach 1.5m, which is the most remarkable in VLC OFDM systems.","PeriodicalId":159643,"journal":{"name":"2016 Sixth International Conference on Information Science and Technology (ICIST)","volume":"27 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":"126991015","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
Fuzzy theory based traffic safety messages fusion algorithm 基于模糊理论的交通安全信息融合算法
2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483417
Ganlang Chen, Gong'an Qiu, Yongzheng Zhou
{"title":"Fuzzy theory based traffic safety messages fusion algorithm","authors":"Ganlang Chen, Gong'an Qiu, Yongzheng Zhou","doi":"10.1109/ICIST.2016.7483417","DOIUrl":"https://doi.org/10.1109/ICIST.2016.7483417","url":null,"abstract":"In order to reduce the redundancy of the traffic safety messages in the control channel and improve the successful messages delivery ratio, a traffic safety messages fusion algorithm is proposed based on the fuzzy theory. Here the correlation of messages between space and speed from different vehicles can be computed by fuzzy reasoning. And a group of optimal weight can be found using the least square method for fusing the correlated messages, which describe the same traffic event. Simulation result shows that the messages compression ratio is 80% over 500 vehicles at least. And proposed algorithm not only has fewer total messages dissemination, but also has smaller mean square errors and higher messages successful delivery ratio than the arithmetic mean based fusion method. Therefore, messages dissemination can be increased.","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":"134485637","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
Motor imagery EEG classification via Bayesian extreme learning machine 基于贝叶斯极值学习机的运动意象脑电分类
2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483380
Yu Zhang, Jing Jin, Xingyu Wang, Yu Wang
{"title":"Motor imagery EEG classification via Bayesian extreme learning machine","authors":"Yu Zhang, Jing Jin, Xingyu Wang, Yu Wang","doi":"10.1109/ICIST.2016.7483380","DOIUrl":"https://doi.org/10.1109/ICIST.2016.7483380","url":null,"abstract":"Motor imagery is usually hard to be classified with a high accuracy, since the task-related electroencephalogram (EEG) responses are likely to be contaminated by some ongoing noises. Design of an efficient classifier is considerably important for the realization of a brain-computer interface (BCI) system based on motor imagery. This study introduces a Bayesian extreme learning machine (BELM) based method for accurate classification of motor imagery. By combing ELM and Bayesian inference, BELM achieves the smallest norm of output weights with automatically estimated regularization for alleviating the possible overfitting during calibration procedure. Effectiveness of the BELM-based method is validated on a public BCI dataset, in comparison with other two competing methods.","PeriodicalId":159643,"journal":{"name":"2016 Sixth International Conference on Information Science and Technology (ICIST)","volume":"48 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":"130394949","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: 11
Scheduling method for phased array radar over chaos adaptively genetic algorithm 相控阵雷达混沌自适应遗传算法调度方法
2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483395
Zhang Hao-wei, Xie Jun-wei, Sheng Chuan
{"title":"Scheduling method for phased array radar over chaos adaptively genetic algorithm","authors":"Zhang Hao-wei, Xie Jun-wei, Sheng Chuan","doi":"10.1109/ICIST.2016.7483395","DOIUrl":"https://doi.org/10.1109/ICIST.2016.7483395","url":null,"abstract":"Aiming at time resource allocation in the phased array radar, a scheduling method over chaos adaptively genetic algorithm was proposed. The optimal scheduling model based on the pulse interleaving technique was established, and the chaos adaptively genetic algorithm was used to search solutions. The initial population was generated by the chaos theory and the adaptive crossover and mutation operators were designed to improve the efficiency of the algorithm. The simulation results demonstrate that, compared with the scheduling algorithm over genetic algorithm, the improved algorithm is more efficient and performs better.","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":"129135023","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: 14
Coordinated target-enclosing of underactuated marine surface vehicles 欠驱动海洋水面车辆的协调目标封闭
2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483436
Lu Liu, Dan Wang, Zhouhua Peng
{"title":"Coordinated target-enclosing of underactuated marine surface vehicles","authors":"Lu Liu, Dan Wang, Zhouhua Peng","doi":"10.1109/ICIST.2016.7483436","DOIUrl":"https://doi.org/10.1109/ICIST.2016.7483436","url":null,"abstract":"A cyclic pursuit-based path following scheme is proposed to achieve the coordinated target enclosing using a group of underactuated marine surface vehicles (MSVs). Specifically, a line-of-sight based path following controller is firstly derived to force each vehicle to follow a parameterized path around the target. Then, a distributed path variable coordination control law is developed based on a cyclic pursuit approach such that the vehicles can evenly spread on a closed curve, which takes the circular formation pattern as a special case. Moveover, the time-varying sideslip angle due to environmental disturbances can be exactly identified by a reduced-order extend state observer. The input-to-state stability of the closed-loop network system is established via cascade theory. Simulation results demonstrate the effectiveness of the new coordinated target-enclosing method.","PeriodicalId":159643,"journal":{"name":"2016 Sixth International Conference on Information Science and Technology (ICIST)","volume":"13 11 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":"132362485","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
Performance analysis of mandarin whispered speech recognition based on normal speech training model 基于正常语音训练模型的普通话耳语语音识别性能分析
2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483475
Chen Xueqin, Zhao Heming, Fan Xiaohe
{"title":"Performance analysis of mandarin whispered speech recognition based on normal speech training model","authors":"Chen Xueqin, Zhao Heming, Fan Xiaohe","doi":"10.1109/ICIST.2016.7483475","DOIUrl":"https://doi.org/10.1109/ICIST.2016.7483475","url":null,"abstract":"The magnitude of the decline in performance is very alarming when the features commonly used in normal speech recognition system are directly used as the input feature of whispered speech in the speech recognition system trained by normal speech. In this paper, in order to finding the characteristics of better matching degree between normal and whispered speech, we propose a spectrum sparse-based approach to obtain the feature of speech spectrum structure. We construct a hidden Markov model based speech recognition baseline system to compare the performance of different features. Experimental results show that the proposed feature can perform better on whispered speech recognition based on the speech recognition system trained by normal speech. This means that the recommended feature is better able to express the similarity between the normal speech and the whisper in the spectral topology structure.","PeriodicalId":159643,"journal":{"name":"2016 Sixth International Conference on Information Science and Technology (ICIST)","volume":"32 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":"132450506","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
An evolutionary many-objective optimization algorithm based on population decomposition and reference distance 基于种群分解和参考距离的进化多目标优化算法
2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483444
Zhe Zheng, Hai-Lin Liu, Lei Chen
{"title":"An evolutionary many-objective optimization algorithm based on population decomposition and reference distance","authors":"Zhe Zheng, Hai-Lin Liu, Lei Chen","doi":"10.1109/ICIST.2016.7483444","DOIUrl":"https://doi.org/10.1109/ICIST.2016.7483444","url":null,"abstract":"An evolutionary multi-objective optimization (EMO) algorithm based on Pareto dominance have made great achievements in dealing with two or three objectives optimization problems. Nevertheless, with the problem objective function of the number increasing, the selection pressure of Pareto dominance based EMO algorithms deteriorates rapidly. In our paper, we propose an evolutionary algorithm based on M2M population decomposition and reference distance to solve many-objective optimization problems, named EAPD-RD. By population decomposition, the population is decomposed into several subpopulation, and each subpopulation corresponds to a subspace represented by a direction vector. Each individual has a projector distance along the direction vector and a reference distance to the direction vector. The proposed algorithm use projector distance to enhance selection pressure of Pareto dominance. A Niching techniques based on reference distance is designed to the maintain the population diversity. Contrast experiments have been conducted by testing DTLZ(1-4) problems with 8, 10 and 15 objectives with proposed algorithm, MOEA/D and GrEA. The results of simulation illustrate that our algorithm outperforms MOEA/D and GrEA under the IGD metric.","PeriodicalId":159643,"journal":{"name":"2016 Sixth International Conference on Information Science and Technology (ICIST)","volume":"40 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":"116402826","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: 16
Prediction of total execution time for MapReduce applications 预测MapReduce应用程序的总执行时间
2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483435
Yan Ling, Fang Liu, Yue Qiu, Jiajie Zhao
{"title":"Prediction of total execution time for MapReduce applications","authors":"Yan Ling, Fang Liu, Yue Qiu, Jiajie Zhao","doi":"10.1109/ICIST.2016.7483435","DOIUrl":"https://doi.org/10.1109/ICIST.2016.7483435","url":null,"abstract":"In this paper, we estimate the total execution time of two applications under different input data size with linear regression model and error correction neural network model respectively. From the prediction results, we can conclude that error correction neural network model can predict the total execution time of these applications under different input data size accurately and the prediction accuracy of error correction neural network model for CPU-intensive workloads is much higher compared to linear regression model.","PeriodicalId":159643,"journal":{"name":"2016 Sixth International Conference on Information Science and Technology (ICIST)","volume":"95 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":"115543797","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: 8
Energy efficiency of IDF MIMO relay system with antenna selection under a holistic power model 整体功率模型下天线选择的IDF MIMO中继系统能量效率
2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483449
Benli Li, Li Chen, Guo Wei
{"title":"Energy efficiency of IDF MIMO relay system with antenna selection under a holistic power model","authors":"Benli Li, Li Chen, Guo Wei","doi":"10.1109/ICIST.2016.7483449","DOIUrl":"https://doi.org/10.1109/ICIST.2016.7483449","url":null,"abstract":"We consider a cooperative incremental decode-and-forward (IDF) MIMO relay system where the relay operates with automatic repeat request (ARQ) protocol. The relay forwards the received signal from the source to the destination only when receives negative acknowledgement (NACK) from the destination. In this paper, we focus on relay antenna selection (AS) issue. An analytical framework for studying the energy efficiency trade-off of cooperation in relay system is presented, in which the power consumed in the receiving and processing circuitry is taken into consideration. Closed-form outage probability and energy efficiency expressions for different relay AS schemes are derived. The effects of relay AS schemes and relative position between destination, source and to relay on energy efficiency are investigated in this work. The numerical results reveal that, SSC outperforms MRC when the destination is relatively faraway from the source or relay, which has practical value for deciding which relay AS scheme to use by setting previously calculated thresholds.","PeriodicalId":159643,"journal":{"name":"2016 Sixth International Conference on Information Science and Technology (ICIST)","volume":"120 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":"130494232","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
Research on collaborative management framework of cross river tunnel construction 跨河隧道施工协同管理框架研究
2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483408
Jing Xiong, Gang Yu, X. Zhang
{"title":"Research on collaborative management framework of cross river tunnel construction","authors":"Jing Xiong, Gang Yu, X. Zhang","doi":"10.1109/ICIST.2016.7483408","DOIUrl":"https://doi.org/10.1109/ICIST.2016.7483408","url":null,"abstract":"Aiming at the characteristics of tunnel construction, this paper analyses the present situation of management of tunnel construction and puts forward collaborative management of cross river tunnel construction based on BIM. The purpose of this paper is to share and analyze information of whole life cycle project. The whole process of tunnel construction and information of all participants are all integrated in the same platform. The paper provides a tool for diverse message retrieval, reveal, statistics and analysis from multiple points of view, on different levels. This theory can be applied in cross river tunnel construction in Shanghai, and promotes management level of project construction effectively.","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":"130300530","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: 2
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