{"title":"Ambiguity mitigating tracking method for BOC(1,1) and MBOC(6,1,1/11) signals","authors":"Zhang Longji, Wang Ju","doi":"10.1109/EIIS.2017.8298578","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298578","url":null,"abstract":"The Binary Offset Carrier (BOC) modulation has been adapted in the modern Global Navigation Satellite Systems (GNSS). Although the Auto Correlation Function (ACF) of BOC modulated signals has sharper main peak and better multipath mitigation performance than BPSK, the multiple side peaks cause ambiguity in tracking. The main objective of this paper is to propose an ambiguity mitigating tracking method for BOC (1,1) and MBOC (6,1,1/11) signals based on a novel combined correlation function by generating local pseudo random noise (PRN) code to make a side-peak cancellation. Simulation reveals that the method can improve the tracking performance.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129811756","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":"Design of a front-end analog channel with 80MHz bandwidth in digital oscilloscope","authors":"Zewei Jiang, Wang Liu","doi":"10.1109/EIIS.2017.8298678","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298678","url":null,"abstract":"Aiming at the requirement of a high-frequency input analog signal conditioning in digital oscilloscope, an analog channel design with high bandwidth and large dynamic range is proposed. The analog channel is used to realize high-frequency analog signal converting to the best sampling range of high-speed ADC which is mainly composed of direct or passive attenuation circuit, impedance conversion circuit, digital step attenuator and fixed gain amplifier circuit. Emphasis on using OrCAD PSpice tool to build analog channel circuits and carry out functional simulation verification, high-frequency PCB circuit board is fabricated according to the simulation results, and output analog signals are measured when analog signals of different frequencies pass through the analog channel PCB circuit board. At the same time, adjusting the adjustable capacitor can make output analog signal flatness performance of frequency response curve better in the entire bandwidth, and I successfully give a good frequency response curve of the analog channel circuit by actual measurement results.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117163129","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":"Liquid surface location of transparent container based on visual analysis","authors":"Fujian Feng, Lin Wang, Mian Tan, Zhongming Yu","doi":"10.1109/EIIS.2017.8298632","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298632","url":null,"abstract":"This paper presents a new method of liquid surface location based on visual analysis, which was proposed with the visual navigation of imagery processing technology. Firstly, hospital medical infusion bottle image was binarized by the statistical methods of energy. Secondly, binary image was carried on the image segmentation through the projection statistics method and the Shen algorithm. Finally, horizontal projection image is smoothed by Shen algorithm. The experimental results show that the proposed method can accurately locate and real-time tracking of medical infusion bottle surface.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122632039","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 high-speed, continuous and no-intermittent frequency measurement algorithm for cesium optically pumped magnetometer","authors":"Shuting Hu, H. Dong, J. Ge, W. Luo","doi":"10.1109/EIIS.2017.8298585","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298585","url":null,"abstract":"Cesium optically pumped magnetometer(OPM) is a weak magnetic field measuring instrument based on Zeeman effect. Aiming at the low sampling rate of conventional cesium OPM, this paper presents a high-speed, continuous and no-intermittent frequency measurement method based on fixed gate. On the foundation of the fixed gate frequency measurement method, double counters are respectively used to continuously counting to achieve continuous measurement without intermittent in the positive and negative gates. Meanwhile, to improve the accuracy of measurement, the STM32 microcontroller analyzes the collected data to find and remove the junction points of dynamic frequency. The experimental results show that the proposed method can effectively improve the sampling rate and precision of the system, and can be applied to the cesium OPM, which has a good application prospect.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117077535","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}
Di Pan, Ying Wei, Shili Liang, Tingfa Xu, Shuangwei Wang
{"title":"Speech recognition of specific two-word Chinese vocabulary by applying Fourier transform twice to the broad-band spectrogram","authors":"Di Pan, Ying Wei, Shili Liang, Tingfa Xu, Shuangwei Wang","doi":"10.1109/EIIS.2017.8298546","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298546","url":null,"abstract":"This paper illustrates a method to recognize the speech of specific two-word Chinese vocabulary by analyzing speech signals using a broad-band spectrogram after Fourier transform is applied to it twice. First, we analyze the broad-band spectrogram in the frequency domain and its corresponding voice characteristics in detail after applying Fourier transform twice. Then, binary width zoning column projection is carried out in the broad-band spectrogram frequency domain. The projection value is treated as the characteristic value of speech recognition feature and the support vector machine (SVM) is considered as the classifier for recognizing the speech of specific two-word Chinese vocabulary. A total of 1000 voice samples were used in the simulation. The results using this method show a remarkable recognition rate of 93.4%. The proposed method provides a new way for vocabulary recognition.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115664342","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":"Spectral-spatial classification of hyperspectral images based on joint bilateral filter and stacked sparse autoencoder","authors":"C. Zhao, Xiaoqing Wan, Yiming Yan","doi":"10.1109/EIIS.2017.8298563","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298563","url":null,"abstract":"Reducing noise in hyperspectral image (HSI) while preserving the details and extracting useful spectral-spatial information have always been one of the important problems of the classification task. This paper proposes a method by combining joint bilateral filter (JBF) and stacked sparse autoencoder via an ensemble strategy for the HSI classification. First, the novel JBF has an ability to preserve the important texture features and to restore the corrupted pixel, while extracting spectral and spatial information from hyperspectral data due to consider spectral as well as the spatial closeness for smoothing the HSI simultaneously. Second, stacked sparse autoencoderand (SSA) is adopted to adaptively extract high-level spectral-spatial feature representations from the smoothed image. Finally, the random forest (RF) classifier is adopted to perform supervised fine-tuning and classification. Experimental results on two real hyperspectral data sets demonstrate the effectiveness of the proposed classification approach.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131051065","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":"Analysis and research on smart home gateway and information push","authors":"Zhong-Hui, Zhong-Wanshi, Pu-Shengyuan","doi":"10.1109/EIIS.2017.8298637","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298637","url":null,"abstract":"This article is the analysis and research on the main problems and the key technology of smart home information push system. It put forward a household equipment state push strategy algorithm, a information transmission and a storage methods to meet the needs of modern intelligent building based on the analysis on the function of the existing push system, in view of the smart home information push. It mainly solved the following problems: household equipment data acquisition; concurrent transmission of home gateway data; data push strategy of household equipment monitoring and so on. Monitoring data management system design, can store and display monitoring data, and through the AndroidPN source project to design the real-time push system to push household equipment information to the mobile intelligent device such as smart phone to share information. Between mobile devices and the push platform we use Socket long connection enables the server to push the warning message automatically to the users when the abnormal situation happened.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128326592","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":"Domain named entity recognition method based on skip-gram model","authors":"Feng Yan-hong, Yu Hong, Sun Geng, Yu Xun-ran","doi":"10.1109/EIIS.2017.8298655","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298655","url":null,"abstract":"Traditional domain named entity recognition (NER) methods mainly depended on manual features and were implemented by machine learning methods. These features have no capability to express semantic meaning and these methods are very sensitive for artificial features. To resolve these problems, a method based on Skip-gram model is proposed in this paper. In this method, using word embedding with semantic meaning as features, named entity recognition problem is straightly modeled as Skip-gram model, so it achieves end-to-end solution. Domain characteristics are integrated into this model for further improvement in result. The experiment is carried on Sogou and domain corpus. It shows that the proposed method can improve Recall, Precision and F measure of domain named entity recognition.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127166166","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":"Continuous mixed p-norm adaptive algorithm with reweighted L0-norm constraint","authors":"Sihai Guan, Zhi Li, Hairu Zhang","doi":"10.1109/EIIS.2017.8298617","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298617","url":null,"abstract":"A continuous mixed p-norm adaptive algorithm with reweighted L0-norm constraint (RL0-CMPN) is proposed for sparse system identification. The RL0-CMPN algorithm makes full use of the advantages of the different norm. This algorithm can solve large coefficient update spread problem and reduce the slow-down effect. Besides, it is a continuous mixed p-norm adaptive algorithm. The computation complexity of the algorithm is discussed. Finally, the algorithm is compared with some exist adaptive filtering algorithms in different signal-tonoise ratio (SNR). Theoretical analysis combined with experimental simulations show that the algorithm can achieve better tracking speed, lower steady state error and anti-noise performance.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126899127","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":"Sub-pixel mapping of remote sensing images based on sub-pixel/pixel spatial attraction models with anisotropic spatial dependence model","authors":"C. Zhao, Huaijuan Yang, Hai-feng Zhu, Yiming Yan","doi":"10.1109/EIIS.2017.8298743","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298743","url":null,"abstract":"Sub-pixel mapping (SPM) based on the Sub-pixel /Pixel Spatial Attraction Models (SPSAM) is a technique that improve the spatial resolution of remote sensing images. SPSAM-based SPM is based on the spatial dependence theory with isotropic assumption. In SPSAM, the weight calculation of spatial dependence is only relevant with the distance between the sub-pixel and its neighboring pixel. Obviously, the direction of spatial dependence is neglected. In this paper, a revised SPSAM-based SPM with anisotropic spatial dependence model (SPSAMA) is proposed. Sobel operator is utilized to determine the gradient magnitude and direction of coarse proportion image at every pixel. Then the gradient magnitude and direction will be used to reckon the weights of adjacent pixels proportions in the neighborhood. Experimental results demonstrated that the SPSAMA can produce land cover maps with greater accuracy than traditional SPSAM.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123736514","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}