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2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)最新文献

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Research of local outlier mining algorithm based on spark 基于spark的局部离群点挖掘算法研究
2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS) Pub Date : 2017-06-01 DOI: 10.1109/EIIS.2017.8298559
Haipeng Chen, Siqi Zhao, Han Bao, Hui Kang
{"title":"Research of local outlier mining algorithm based on spark","authors":"Haipeng Chen, Siqi Zhao, Han Bao, Hui Kang","doi":"10.1109/EIIS.2017.8298559","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298559","url":null,"abstract":"Cluster-based outlier mining algorithm is one of the impotent local outlier mining algorithms, but there are many problems in it. In this paper, we propose an algorithm named CFLDOF to optimize the LDOF algorithm by pruning the dataset with clustering feature trees, then the parallel design of CFLDOF is given, and use the Spark platform to set up improved parallelization algorithm, finally, a comparative experiment is carried out, it is verified that CFLDOF reduces the time complexity, the accuracy is similar to the LDOF.","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":"126088587","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
The optimization of sparse concentric ring array using differential evolution algorithm 基于差分进化算法的稀疏同心环阵列优化
2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS) Pub Date : 2017-06-01 DOI: 10.1109/EIIS.2017.8298693
Shang Xingrong, Lu Xiaoming
{"title":"The optimization of sparse concentric ring array using differential evolution algorithm","authors":"Shang Xingrong, Lu Xiaoming","doi":"10.1109/EIIS.2017.8298693","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298693","url":null,"abstract":"Sparse concentric ring array synthesis usually needs to meet a variety of constraints, namely the array aperture, the number of elements and the minimum element spacing maintain a fixed value. A dimensionality reduction method which is based on improved differential evolution algorithm is presented aiming at the problem of multi constraint optimization. The use of locally optimal mutation strategy accelerates the convergence speed of the algorithm, improves local search ability of differential evolution algorithm and the population diversity, solves the premature convergence problem. At the same time, the proposed method transforms the positions of two-dimensional concentric ring arrays optimization design into one-dimensional linear array, realizes the joint optimization of all the array elements, reduces algorithm complexity, while ensures the array side lobe performance. Simulation results establish the effectiveness of the method.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"32 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":"126702483","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
Deep convolutional neural networks-based age and gender classification with facial images 基于深度卷积神经网络的面部图像年龄和性别分类
2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS) Pub Date : 2017-06-01 DOI: 10.1109/EIIS.2017.8298719
Xuan Liu, Junbao Li, Cong Hu, Jeng-Shyang Pan
{"title":"Deep convolutional neural networks-based age and gender classification with facial images","authors":"Xuan Liu, Junbao Li, Cong Hu, Jeng-Shyang Pan","doi":"10.1109/EIIS.2017.8298719","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298719","url":null,"abstract":"In this paper, we build an age and gender classification system including two networks to classify age and gender based on GoogLeNet with the help of Caffe deep learning framework. It outputs gender and age groups of the facial images captured from the camera. We use Adience dataset to train GoogLeNet. Asynchronous Stochastic Gradient Descent based on multi-GPUs is used to optimize training process. We intend to use the trained network to build a classification system in real world to show the practicability. For instance, it can apply to a targeted delivery in bus stop or department store. The results indicate that the accuracy of the classification network can be improved by pre-training. In addition, the multi-GPUs training platform can improve the training speed during the recognition. Overall system reaches speed of 8fps with a high accuracy to classify age and gender.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"15 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":"116806873","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: 13
A study on text classification based on stacked contractive auto-encoder 基于堆叠压缩自编码器的文本分类研究
2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS) Pub Date : 2017-06-01 DOI: 10.1109/EIIS.2017.8298701
Yang Yu, Jing Hui
{"title":"A study on text classification based on stacked contractive auto-encoder","authors":"Yang Yu, Jing Hui","doi":"10.1109/EIIS.2017.8298701","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298701","url":null,"abstract":"In order to improve the classification effect of text classification and reduce the error rate of classification, this paper proposes the thought of text classification based on Stacked Contractive Auto-Encoder (SCAE) by stacking network layer by layer, the SCAE constitutes the depth of the neural network by unsupervised training and learning text to improve the robustness of feature extraction, the network uses the gradient descent algorithm to optimize parameters of the network. This paper adopts an improved TFIDF method calculating the weight of feature words. Though experiments, the CAE and SAE (Sparse Auto-Encoder) are compared, the support vector machine (SVM) is used to classify text. Experiment result shows that the classification performance of single layer CAE is better than that of single layer SAE, and the classification performance of SCAE is better than that of SSAE (Stacked Sparse Auto-Encoder).","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":"131247648","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
Identification method of circular seal based on adaptive rotation and approximation 基于自适应旋转和逼近的圆密封识别方法
2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS) Pub Date : 2017-06-01 DOI: 10.1109/EIIS.2017.8298682
Wenli Liu, Guowei Yang, Changhong Li
{"title":"Identification method of circular seal based on adaptive rotation and approximation","authors":"Wenli Liu, Guowei Yang, Changhong Li","doi":"10.1109/EIIS.2017.8298682","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298682","url":null,"abstract":"Circular seal identification based on template matching, as a classic algorithm, has two own shortcomings. The first is that it is invalid to seal with rotation angle. The second is that the algorithm is complex. In view of this two shortcomings, the seal identification based on adaptive rotation and approximation is proposed. To solve the first question, circular seal is recognized by matching between the template adaptively rotating about central point and test seal. To solve the next question, the correlation between template and test seal is obtained by calculating the correlation of Boolean of their binary image. Experimental results show that the new algorithm effectively solve the two shortcomings of seal identification based on template matching.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"12 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":"132691802","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
A user clustering algorithm on web usage mining 一种基于web使用挖掘的用户聚类算法
2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS) Pub Date : 2017-06-01 DOI: 10.1109/EIIS.2017.8298745
S. Hao, Zhaoxiang Shen, Bingbing Zhang
{"title":"A user clustering algorithm on web usage mining","authors":"S. Hao, Zhaoxiang Shen, Bingbing Zhang","doi":"10.1109/EIIS.2017.8298745","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298745","url":null,"abstract":"Data mining on web log files is called Web Usage Mining (WUM). User clustering based on access patterns is an important part of WUM. Most papers just consider web pages hits, but ignore the succession of pages during user clustering. Therefore, a new user similarity measurement method is put forward in this paper, which takes not only web page hits but also the succession of pages into account. And at the same time, a new clustering algorithm named DBSCAN&Chameleon based on DBSCAN and Chameleon is introduced in this paper. Finally, experiments show that the clustering quality of this algorithm is much higher than DBSCAN and Chameleon.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"38 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":"128420223","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
The space-ground hybrid beamforming technology in satellite communmication system 卫星通信系统中空间-地面混合波束形成技术
2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS) Pub Date : 2017-06-01 DOI: 10.1109/EIIS.2017.8298605
W. Yue, Sheng Weixing
{"title":"The space-ground hybrid beamforming technology in satellite communmication system","authors":"W. Yue, Sheng Weixing","doi":"10.1109/EIIS.2017.8298605","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298605","url":null,"abstract":"Traditional space-based beamforming is totally conducted on the satellite, which brings lots of problems to the space signal processing. Ground-based beamforming system transfers the beamforming operation to the ground, but we face the problem of too much down link data and too many channels especially in the case of a lot of antenna array elements. The space-ground hybrid beamforming technology combines the advantages of these two projects. First, we adopt FAPI algorithm to extract the subspace of desired signal and interference signals to realize the compression of the matrix, which effectively decreases the amount of down link data. Then, signals transmit through channels to the ground. We use LCMV iteration algorithm to make signals beamformed. This technology not only lightens the space processing burden, but also reduces the number of channels and saves channel resources. According to the simulation results, space dimension reduction operation has no impacts on the performance of the ground adaptive beamforming, which proves the effectiveness of the algorithm.","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":"131662944","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
Characteristic analysis of novel Double-Fork piezoelectric energy harvester 新型双叉压电能量采集器特性分析
2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS) Pub Date : 2017-06-01 DOI: 10.1109/EIIS.2017.8298635
Guogong Wang, Jun Xu, Fuguo Yi, Yongqin Zhang, Peng Wang, Yunyue Cui, Bing Jiang
{"title":"Characteristic analysis of novel Double-Fork piezoelectric energy harvester","authors":"Guogong Wang, Jun Xu, Fuguo Yi, Yongqin Zhang, Peng Wang, Yunyue Cui, Bing Jiang","doi":"10.1109/EIIS.2017.8298635","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298635","url":null,"abstract":"With maturity of micro-electro-mechanical system (MEMS) technology, varieties of electronic products have entered into the era of integration, miniaturization and low power consumption. It is noted that the traditional battery power supply method restricted the development of electronic products. Vibration energy harvesting is one of the most promising solutions. Because the vibration frequency in normal circumstance is about 1–100Hz, the lower resonant frequency of piezoelectric harvester is demanded. Based on the piezoelectric effect, the characteristics of a novel kind of Double-Fork piezoelectric energy harvester (DFPEH) was studied. A model of the DFPEH was built in the finite element analysis software ANSYS, and the corresponding static analysis, modal analysis, harmonic response analysis were made sequentially. Results show that the first three order resonance frequencies of the harvester are 21Hz, 47Hz and 91Hz separately, which are suitable for low-frequency vibration environment. The frequency gap between the first-order resonant frequency and the second-order resonant frequency is 26Hz. Besides, the 3dB bandwidth of the first-order resonant frequency is 8Hz under condition of acceleration value 9.9m/s2 and the damping factor 0.025, which is applied on the fixed end of the DFPEH. Consequently, the DFPEH has shown the distinguished broadband characteristic.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"42 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":"132242036","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
Research of wind power planning based on power grid operation balance coefficient 基于电网运行平衡系数的风电规划研究
2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS) Pub Date : 2017-06-01 DOI: 10.1109/EIIS.2017.8298765
Deng Xin-yang, Song Zhuoran, Wang Youyin, Yang Jiye, Ji Xing, H. Yu-cheng, Zhang Na, Yang Fangyuan, Liu Kai
{"title":"Research of wind power planning based on power grid operation balance coefficient","authors":"Deng Xin-yang, Song Zhuoran, Wang Youyin, Yang Jiye, Ji Xing, H. Yu-cheng, Zhang Na, Yang Fangyuan, Liu Kai","doi":"10.1109/EIIS.2017.8298765","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298765","url":null,"abstract":"The depth analysis of power grid load rate status is important for wind power planning. In this paper, the wind power planning model is established based on the power grid operation balance coefficient, and the cumulant solving method is presented. Finally the proposed method is testified by IEEE 30-bus system.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"47 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":"133875411","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
The development and test of a new type of sensor used for performance measurement of solid propellant 一种新型固体推进剂性能测量传感器的研制与试验
2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS) Pub Date : 2017-06-01 DOI: 10.1109/EIIS.2017.8298742
Bo Zhang, Kehai Dong, Guo-ming Chen
{"title":"The development and test of a new type of sensor used for performance measurement of solid propellant","authors":"Bo Zhang, Kehai Dong, Guo-ming Chen","doi":"10.1109/EIIS.2017.8298742","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298742","url":null,"abstract":"Aimed at large strain measurement of solid propellant, the inapplicability of mature measurement methods at present was analysed, and new flexible large strain sensors were successfully developed. Calibration tests of sensors were carried out, and the relation of strain and resistance output at different range was determined. Temperature and humidity tests of flexible large strain sensors were also carried out, and it was concluded that the resistance output of sensor had 5% drift within the range of 0°C-60°C, and had about ±3%drift within the whole humidity range. The drift is greater in the humidity range of 60% to 90%, but the temperature and humidity compensation can be carried out by using a compensation curve. The results can provide technical support for large strain measurement of solid propellant, and improvement of the reliability of missile weapons system, which is of great significance.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"34 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":"128723591","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
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