This paper presents an FPGA based miniature, multi-functional signal generator with digital controller inside to adapt applications such as wireless sensor network (WSN) and software define radio (SDR) system. To reduce design complexity and decrease development time, this work adopts a novel SOPC design methodology, which means using embedded soft-core microprocessor Nios II and EDA tool Quartus II to accomplish design process. Nios II is a configurable and optimizable soft-core CPU which is embedded in FPGA. Using characteristics of Nios II, we put together every logical units that system needs and implant them into a single FPGA chip. Then uses the Avalon bus to connect with Nios II's Avalon bus main port (instruction and data control port) with function choose keys, LED display units and other peripheral equipment. Realize a signal generator system that is flexible to reduce, extend, with low power consumption, and has System on Programmable Chip (SOPC) function which means the system's software and hardware is online programmable and reconfigurable. The system design process uses SOPC design methodology.
{"title":"An FPGA Based Multi-functional Signal Generator Using SOPC Design Methodology","authors":"Ruan Yue, Yao Wen-ji, Wang Jinming","doi":"10.1109/ICISCE.2016.269","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.269","url":null,"abstract":"This paper presents an FPGA based miniature, multi-functional signal generator with digital controller inside to adapt applications such as wireless sensor network (WSN) and software define radio (SDR) system. To reduce design complexity and decrease development time, this work adopts a novel SOPC design methodology, which means using embedded soft-core microprocessor Nios II and EDA tool Quartus II to accomplish design process. Nios II is a configurable and optimizable soft-core CPU which is embedded in FPGA. Using characteristics of Nios II, we put together every logical units that system needs and implant them into a single FPGA chip. Then uses the Avalon bus to connect with Nios II's Avalon bus main port (instruction and data control port) with function choose keys, LED display units and other peripheral equipment. Realize a signal generator system that is flexible to reduce, extend, with low power consumption, and has System on Programmable Chip (SOPC) function which means the system's software and hardware is online programmable and reconfigurable. The system design process uses SOPC design methodology.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91086051","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}
Document clustering is a popular topic in data mining and information retrieval. Most models and methods for this problem are based on computing the similarity between pair documents modeled in a space of all terms, or a new feature space obtained by applying a topic modeling technique for a given corpus. In this paper, we regard these two ideas as clustering on term feature and on semantic feature, and have an assumption that they can contribute to each other in clustering. Also, we propose a co-training approach for spectral clustering taking two features into account. Experiments on four real-world datasets show the feasibility and efficacy of our proposed approach compared with a number of the baseline methods.
{"title":"A Fused Multi-feature Based Co-training Approach for Document Clustering","authors":"Yuanqing Wang, Wenjun Wang, Weidi Dai, Pengfei Jiao, Wei Yu","doi":"10.1109/ICISCE.2016.19","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.19","url":null,"abstract":"Document clustering is a popular topic in data mining and information retrieval. Most models and methods for this problem are based on computing the similarity between pair documents modeled in a space of all terms, or a new feature space obtained by applying a topic modeling technique for a given corpus. In this paper, we regard these two ideas as clustering on term feature and on semantic feature, and have an assumption that they can contribute to each other in clustering. Also, we propose a co-training approach for spectral clustering taking two features into account. Experiments on four real-world datasets show the feasibility and efficacy of our proposed approach compared with a number of the baseline methods.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90413026","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}
As for the majority methods of Pseudo Relevance Feedback (PRF), the document in pseudo relevant set is generally divided into the relevant and the non-relevant according to user query. It is so coarse that the lower robustness of PRF, because there is still some relevant information in the non-relevant document and non-relevant information in the relevant document. A novel ranking scheme is proposed in this paper in order to accomplish a higher quality of pseudo relevant set. We try to realize automatically topic content analysis for pseudo relevant set, and divide pseudo relevant set into the relevant and the non-relevant at the document content level, so as to extract semantic relevant content for further selecting good expansion terms based on a smaller granularity, which would not worry about the cases that the top-ranked documents contain very few relevant documents. The experimental results on real Chinese collection show that our scheme can significantly improve the performance of retrieval.
{"title":"A Two-Stage Ranking Scheme for Pseudo Relevance Feedback","authors":"Rong Yan, Guanglai Gao","doi":"10.1109/ICISCE.2016.38","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.38","url":null,"abstract":"As for the majority methods of Pseudo Relevance Feedback (PRF), the document in pseudo relevant set is generally divided into the relevant and the non-relevant according to user query. It is so coarse that the lower robustness of PRF, because there is still some relevant information in the non-relevant document and non-relevant information in the relevant document. A novel ranking scheme is proposed in this paper in order to accomplish a higher quality of pseudo relevant set. We try to realize automatically topic content analysis for pseudo relevant set, and divide pseudo relevant set into the relevant and the non-relevant at the document content level, so as to extract semantic relevant content for further selecting good expansion terms based on a smaller granularity, which would not worry about the cases that the top-ranked documents contain very few relevant documents. The experimental results on real Chinese collection show that our scheme can significantly improve the performance of retrieval.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90427700","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}
In this paper, a driver-stage power amplifier is presented for a Doherty amplifier that worked at 2.6GHz. The simulation and measurement results meet all scheduled design indexes, which the peak output power is about 39dBm, the biggest power gain is about 15dB and the largest PAE is about 31%. It gives a method by combining the software and hardware to design and debug the power amplifier. Compared with the traditional method, this method can improve the design success and shorten the design cycle.
{"title":"Study of a Driver-Stage Power Amplifier for Doherty Power Amplifier","authors":"Zicheng Xiong, Bin Wang, Chaochao Xu, Shiwei Zhao","doi":"10.1109/ICISCE.2016.303","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.303","url":null,"abstract":"In this paper, a driver-stage power amplifier is presented for a Doherty amplifier that worked at 2.6GHz. The simulation and measurement results meet all scheduled design indexes, which the peak output power is about 39dBm, the biggest power gain is about 15dB and the largest PAE is about 31%. It gives a method by combining the software and hardware to design and debug the power amplifier. Compared with the traditional method, this method can improve the design success and shorten the design cycle.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78161329","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}
In this paper a new vulnerability detecting method is proposed to detect buffer boundary violations. The main idea is to use the metric of array index manipulation rather than using any heuristic method. We employ a SVM-based classifier to classify the vulnerable functions and innocent functions. Then the vulnerable functions are fed to function call graph guided symbolic execution to precisely determine whether they are true vulnerability or not. By the above measures, buffer boundary violations can be detected precisely and efficiently.
{"title":"Detecting Buffer Boundary Violations Based on SVM","authors":"Qingkun Meng, Bin Zhang, Chao Feng, Chaojing Tang","doi":"10.1109/ICISCE.2016.76","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.76","url":null,"abstract":"In this paper a new vulnerability detecting method is proposed to detect buffer boundary violations. The main idea is to use the metric of array index manipulation rather than using any heuristic method. We employ a SVM-based classifier to classify the vulnerable functions and innocent functions. Then the vulnerable functions are fed to function call graph guided symbolic execution to precisely determine whether they are true vulnerability or not. By the above measures, buffer boundary violations can be detected precisely and efficiently.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75350433","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}
Subband adaptive filter algorithms are able to improve the convergence behavior by performing the prewhitening procedure on the input signals. In this paper, we propose a new variable step size improved multiband-structured subband adaptive filter algorithm which dynamically selects subband filters (VSS-IMASF) in order to improve the steady-state performance. The step size is controlled by the estimated mean square deviation (MSD) in order to achieve better steady state performance. Simulation results show that the proposed algorithm has lower steady state MSD and more robustness compared with the existing subband algorithms.
{"title":"A Variable Step Size Based Improved Multiband-Structured Adaptive Filter Algortihm","authors":"Chang Liu, Zhi Zhang, Caishen Wang","doi":"10.1109/ICISCE.2016.176","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.176","url":null,"abstract":"Subband adaptive filter algorithms are able to improve the convergence behavior by performing the prewhitening procedure on the input signals. In this paper, we propose a new variable step size improved multiband-structured subband adaptive filter algorithm which dynamically selects subband filters (VSS-IMASF) in order to improve the steady-state performance. The step size is controlled by the estimated mean square deviation (MSD) in order to achieve better steady state performance. Simulation results show that the proposed algorithm has lower steady state MSD and more robustness compared with the existing subband algorithms.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78468747","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}
Aiming at the problem of the localization error and localization coverage rate of wireless sensor network nodes, a range-based distributed localization algorithm is proposed in this paper. The algorithm can reduce the localization error by introducing the confidence factor that makes the credibility as weights adding to the coordinate calculation of the unknown nodes. Simulation results show that this algorithm can effectively improve the positioning accuracy and promote localization coverage rate compared to classic Euclidean localization algorithm.
{"title":"A Range-Based Distributed Localization Algorithm for Wireless Sensor Networks","authors":"Yanhui Lv, Sitong Meng, Deyu Zhang, Yunfei Huang","doi":"10.1109/ICISCE.2016.264","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.264","url":null,"abstract":"Aiming at the problem of the localization error and localization coverage rate of wireless sensor network nodes, a range-based distributed localization algorithm is proposed in this paper. The algorithm can reduce the localization error by introducing the confidence factor that makes the credibility as weights adding to the coordinate calculation of the unknown nodes. Simulation results show that this algorithm can effectively improve the positioning accuracy and promote localization coverage rate compared to classic Euclidean localization algorithm.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75528369","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}
By using the data of 19 industries of 8 cities in Shandong peninsula urban agglomeration (SDPUA) in 2009 and 2014, the industrial structure coefficient, the coefficient of variation, the similarity coefficient and Shannon's diversity index were calculated to find the quantitative relationship of the industries of the 8 cities, the BP artificial neural network and fuzzy mathematics were used to study the comprehensive level of the industries, and GIS were applied to see the spatial pattern of industrial structure of SDPUA. We got these results and conclusions: The secondary industry as percentage of GDP reduced and the tertiary industry increased from 2009 to 2014, the industry structure coefficient of the 8 cities had an obvious spatial differentiation. The coefficients of variation of most industries of the 8 cities in SDPUA in 2014 are more than these in 2009. Most of the coefficients of variation of industries as percentage of GDP are less than the that of industries production value both in 2009 and 2014. The industry structure of the 8 cities in SDPUA was similar. The comprehensive level of industries of the 8 cities had an obvious spatial differentiation, and Jinan and Qingdao had the highest level, and Rizhao and Weihai had the lowest level both in 2009 and 2014.
{"title":"Spatial Pattern & Quantitative Relationship of Industrial Structure of Shandong Peninsula Urban Agglomeration","authors":"Shan Baoyan, Wang Li-e","doi":"10.1109/ICISCE.2016.140","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.140","url":null,"abstract":"By using the data of 19 industries of 8 cities in Shandong peninsula urban agglomeration (SDPUA) in 2009 and 2014, the industrial structure coefficient, the coefficient of variation, the similarity coefficient and Shannon's diversity index were calculated to find the quantitative relationship of the industries of the 8 cities, the BP artificial neural network and fuzzy mathematics were used to study the comprehensive level of the industries, and GIS were applied to see the spatial pattern of industrial structure of SDPUA. We got these results and conclusions: The secondary industry as percentage of GDP reduced and the tertiary industry increased from 2009 to 2014, the industry structure coefficient of the 8 cities had an obvious spatial differentiation. The coefficients of variation of most industries of the 8 cities in SDPUA in 2014 are more than these in 2009. Most of the coefficients of variation of industries as percentage of GDP are less than the that of industries production value both in 2009 and 2014. The industry structure of the 8 cities in SDPUA was similar. The comprehensive level of industries of the 8 cities had an obvious spatial differentiation, and Jinan and Qingdao had the highest level, and Rizhao and Weihai had the lowest level both in 2009 and 2014.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76261780","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}
RFID technology as a non-contact automatic identification technology is increasingly popular this year, which is widely used in vehicle communication. With the help of radio frequency identification technology, we succeed in designing vehicle electronic license (SVET), which will have a wide range of use in vehicle management. The paper focus on the study of anti-collision algorithm, based on the basic binary search algorithm and dynamic 4-tree search algorithm, the adaptive N-tree anti-collision algorithm based on collided bit that we introduced reduce the number of request of reader effectively, which also reduce the total length of binary data transmitted by the labels. The simulation result also shows that the improved algorithm meet the design requirement, it can improve the recognition speed of electronic label effectively.
{"title":"Adaptive N-tree Anti-collision Algorithm Based on Collided Bit Collided Bit","authors":"Zhiwen Li, Sun Min","doi":"10.1109/ICISCE.2016.177","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.177","url":null,"abstract":"RFID technology as a non-contact automatic identification technology is increasingly popular this year, which is widely used in vehicle communication. With the help of radio frequency identification technology, we succeed in designing vehicle electronic license (SVET), which will have a wide range of use in vehicle management. The paper focus on the study of anti-collision algorithm, based on the basic binary search algorithm and dynamic 4-tree search algorithm, the adaptive N-tree anti-collision algorithm based on collided bit that we introduced reduce the number of request of reader effectively, which also reduce the total length of binary data transmitted by the labels. The simulation result also shows that the improved algorithm meet the design requirement, it can improve the recognition speed of electronic label effectively.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74434362","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}
Nowadays, the low-cost SINS/GPS integrated navigation system has been widely used. Generally, the integrated system works well in providing reliable navigation information. However, the GPS signal may be lost easily and the navigation accuracy will deteriorate badly without compensation. In order to overcome the limitation, a hybrid prediction method that combines the neural network and extended Kalman filter (EKF) is proposed. The neural network is trained when GPS signal is available and then it is used to forecast the measurement of EKF during GPS outages. In recent years, extreme learning machine (ELM) has attracted much attention and interest among scientific community for its extremely fast learning speed and superior generalization performance. Thus in this paper, the ELM is adopted and compared with Radial Basis Function neural network (RBFNN). The simulation result shows that the accuracy of the integrated navigation system is significantly improved by applying the proposed method and the ELM performs better in real-time capacity and generalization ability.
{"title":"Integrating Extreme Learning Machine with Kalman Filter to Bridge GPS Outages","authors":"Jingsen Zheng, Wenjie Zhao, Han Bo, Wen Yali","doi":"10.1109/ICISCE.2016.98","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.98","url":null,"abstract":"Nowadays, the low-cost SINS/GPS integrated navigation system has been widely used. Generally, the integrated system works well in providing reliable navigation information. However, the GPS signal may be lost easily and the navigation accuracy will deteriorate badly without compensation. In order to overcome the limitation, a hybrid prediction method that combines the neural network and extended Kalman filter (EKF) is proposed. The neural network is trained when GPS signal is available and then it is used to forecast the measurement of EKF during GPS outages. In recent years, extreme learning machine (ELM) has attracted much attention and interest among scientific community for its extremely fast learning speed and superior generalization performance. Thus in this paper, the ELM is adopted and compared with Radial Basis Function neural network (RBFNN). The simulation result shows that the accuracy of the integrated navigation system is significantly improved by applying the proposed method and the ELM performs better in real-time capacity and generalization ability.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85224601","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}
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