Yan Wang, Jia You, Jinquan Hang, Chen Li, Long Cheng
{"title":"An Improved Artificial Bee Colony (ABC) Algorithm with Advanced Search Ability","authors":"Yan Wang, Jia You, Jinquan Hang, Chen Li, Long Cheng","doi":"10.1109/ICEIEC.2018.8473513","DOIUrl":"https://doi.org/10.1109/ICEIEC.2018.8473513","url":null,"abstract":"To solve the problem that Artificial Bee Colony (ABC) algorithm is easy to fall into local optimum, this paper proposes an improved Artificial Bee Colony (ABC) algorithm with advanced search ability. This algorithm focuses on adding the number of scouts by comparing the maximum value $Bas_{max}$, the second largest value $Bas_{second}$ and the third largest value $Bas_{third}$ of $Bas(i)$ with the parameter limit. Inspired by the method of introducing modification rate (MR), the solution generation method of $Bas_{sec ond}$ is modified to increase disturbance. Six benchmark functions are used to test the efficiency and stability of the algorithm, and the simulation results show the improved ABC algorithm with advanced search ability performs better than ABC algorithm in high dimensional space.","PeriodicalId":344233,"journal":{"name":"2018 8th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128279942","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":"Theme Mining and Evolution Analysis of Negative Comments on App Software","authors":"Anwen Shi, Xinsheng Ke","doi":"10.1109/ICEIEC.2018.8473504","DOIUrl":"https://doi.org/10.1109/ICEIEC.2018.8473504","url":null,"abstract":"The comment information provides the reference and the management support for the user and the enterprise, the mobile terminal App software iteration only utilizes the information of user negative comment t, can understand the user needs to update the product better. Based on the negative comments of the app software, this paper uses the LDA theme modeling to analyze each month's negative comments to obtain the theme information contained in the negative comments. And analyses the evolution of themes by comparing the differences and links of the different month's theme.","PeriodicalId":344233,"journal":{"name":"2018 8th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114672432","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":"An Intrusion Detection Model Based on Fuzzy C-means Algorithm","authors":"Liyu Duan, Youan Xiao","doi":"10.1109/ICEIEC.2018.8473569","DOIUrl":"https://doi.org/10.1109/ICEIEC.2018.8473569","url":null,"abstract":"Massive researches indicated that intrusion detection model created by combining unsupervised learning and supervised learning algorithm have shown better detection performance. In the process of intrusion detection, huge size of the data and unbalance of normal data and intrusion data were inevitable obstacles. In order to solve those problems, fuzzy c-means (FCM) algorithm and KNN algorithm were applied to reconstruct feature vectors based on central points and train classifier, respectively. The experiment results on KDD-Cup 99 dataset show that this algorithm can achieve higher accuracy than other similar ones on unbalanced distribution data.","PeriodicalId":344233,"journal":{"name":"2018 8th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120951338","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":"Features Extraction and Recognition of Weak Ship-Radiated Noise Under Impulse Noise Environment","authors":"Yao Qi, Wang Bin","doi":"10.1109/ICEIEC.2018.8473469","DOIUrl":"https://doi.org/10.1109/ICEIEC.2018.8473469","url":null,"abstract":"The noise reduction technology of underwater targets is continuously improved, and the target radiation noise is getting more and more weak. It is very important to find out the effective feature extraction and recognition method of target weak radiated noise in the reconnaissance and surveillance of the sea target and the implementation of precision strikes. In this paper, a recognition method based on fractional stochastic resonance is proposed to deal with the problem of weak ship-radiated noise under alpha stable noise distribution. Based on the fractional stochastic resonance algorithm, this method introduces the optimization parameters of artificial-fish swarm algorithm, effectively solves the optimization problem of fractional order, and then uses the power spectrum characteristics as the recognition feature, and uses the support vector machine classifier to classify and identify. Theoretical analysis and simulation experiments verify the effectiveness of the proposed algorithm.","PeriodicalId":344233,"journal":{"name":"2018 8th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"1992 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125523023","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 Clustering Algorithm of Four Character Medicine Effect Phrases in TCM Patents","authors":"Na Deng, Song Lin, Caiquan Xiong, Desheng Li","doi":"10.1109/ICEIEC.2018.8473529","DOIUrl":"https://doi.org/10.1109/ICEIEC.2018.8473529","url":null,"abstract":"In the era of big data, data analysis and data mining are important decision support tools. As a very critical step, the accuracy and comprehensiveness of patent retrieval directly affects the results of patent analysis and mining. Now almost all the mainstream patent retrieval systems work based on retrieval words. It will miss a lot of similar patents. In order to improve the recall rate of Chinese patent retrieval and implement semantic retrieval, utilizing word-building and part of speech combination characteristics of four character medicine effect phrases, this paper puts forward a method to calculate the similarity of four character medicine effect phrases and gives a K-centroid clustering algorithm of them. The experimental results show the effectiveness of the method.","PeriodicalId":344233,"journal":{"name":"2018 8th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122083635","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":"Comparative Analysis of Hybrid Clustering Algorithm on Different Dataset","authors":"H. Malik, N. Laghari, D. Sangrasi, Z. Dayo","doi":"10.1109/ICEIEC.2018.8473568","DOIUrl":"https://doi.org/10.1109/ICEIEC.2018.8473568","url":null,"abstract":"Clustering is a data mining technique, in which data is grouped based on similarity and dissimilarity. Clustering is usually used to identify hidden pattern in multidimensional complex data and, these hidden pattern provide bases for making decisions. The objective of this research to find the best clustering algorithm. K-Mean is a famous clustering algorithm, which is simple and easy to implement, but the drawback of K-Mean is that, it does not work with higher dimensional data, for aiding with this drawback K-Mean is fused with other clustering algorithms such as PSO (Particle Swarm optimization) and PCA (Principle Component Analysis) for better results and cluster identifications. In this paper authors used hybrid clustering approach (K-Mean, PSO-K-Mean and PCA-K-Mean) to improve the clustering result based on parameter (Purity, Rand index and Computation Time) on different data sets taken from UCI Repository.","PeriodicalId":344233,"journal":{"name":"2018 8th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128676557","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}
Jun Liu, Rong Liu, Nanjian Li, B. Zhu, L. Jiang, Renyu Huang
{"title":"An Novel Parameter Tuning Alogrithm for MapReduce Model","authors":"Jun Liu, Rong Liu, Nanjian Li, B. Zhu, L. Jiang, Renyu Huang","doi":"10.1109/ICEIEC.2018.8473562","DOIUrl":"https://doi.org/10.1109/ICEIEC.2018.8473562","url":null,"abstract":"The performance optimization of MapReduce clusters has received significant attention in recent years, because it plays an important role on MapReduce clusters. Parameter tuning is one important way to optimize the performance of MapReduce clusters. Traditional parameter tuning performs poorly in automatic configuration of the parameters. To address the problem, an efficient parameter tuning algorithm for MapReduce clusters is proposed in this paper. In this paper, a detail analysis about the execution process of jobs on MapReduce clusters is described. Moreover, the objective function about the parameters is introduced by the least square method. In order to solve the objective function, particle swarm optimization is introduced to find the optimal solution of the parameters. Experimental results prove that the proposed parameter tuning algorithm is able to perform well in terms of execution time for jobs in MapReduce clusters.","PeriodicalId":344233,"journal":{"name":"2018 8th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123979246","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":"Advanced Extensible Crossbar Protocol for Connecting Multi-Cores and Shared-Memory on-Chip","authors":"Hongyu Meng, Donglin Wang, Ziiun Liu, Yang Guo","doi":"10.1109/ICEIEC.2018.8473474","DOIUrl":"https://doi.org/10.1109/ICEIEC.2018.8473474","url":null,"abstract":"With the development of the chip industry, the bandwidth of interconnect on-chip are becoming more and more important for the performance of chip system. However, heterogeneous Intelligent Property (IPs) including cores and memory banks are being integrated in one chip which makes the hardware design of interconnect difficult. In this paper, we present Advanced Extensible Crossbar (AEC) protocol used for describing and designing the bus on-chip. It can support most of features in Advanced eXtensible Interface (AXI) protocol. Our AEC-based crossbar has been implemented with connecting 8 processors (the area of each one is 13.2 mm2) and 16 MB Static Random Access Memory (SRAM, the area is 1.87 mm2/MB) in TSMC 28nm HPC process and the results show that it can achieve high frequency of 800 MHz after place and route (P&R) while the area requirement is 0.065 mm2. Compared with AXI-based crossbar provided by Synopsys, our AEC-based crossbar gives 1.45X frequency increase and 8X area requirement saving.","PeriodicalId":344233,"journal":{"name":"2018 8th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123333115","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":"Reconfiguration of Adaptors Based on Trace Compliance in Cloud Service Composition","authors":"Dajuan Fan, Danhua Wang, Lei Pan, Fangxiong Xiao","doi":"10.1109/ICEIEC.2018.8473530","DOIUrl":"https://doi.org/10.1109/ICEIEC.2018.8473530","url":null,"abstract":"Aiming at the problem that exsiting approaches for run-time adaptation can not support reconfiguration of adaptors in evolving cloud computing environments, an automatic approach for adaptor reconfiguration in the running phase is proposed. By introducing the notions of history trace compliance and future trace compliance, the validity of an adaptor instance under the definition of a new adaptor version is determined. Then, the algorithms for reconfiguration of adaptors are presented and can be used for determining the migratability of an adaptor instance and the corresponding target state of reconfiguration. The effectiveness and feasibility of the approach is illustrated by a case study.","PeriodicalId":344233,"journal":{"name":"2018 8th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116214507","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":"Improved Variable Step-size LMS for Digital Predistortion in Wideband Power Amplifiers","authors":"Qidi You, Linhai Gu, Jiangchun Liu","doi":"10.1109/ICEIEC.2018.8473505","DOIUrl":"https://doi.org/10.1109/ICEIEC.2018.8473505","url":null,"abstract":"Digital predistortion (DPD) is one of the most promising linearisation techniques in the field of power amplifier (PA) linearization. The adaptive algorithm plays an important part in the DPD system. This paper proposes an improved variable step-size LMS algorithm based on error function and sine function, which can provide both more stable convergence and lower steady-state error. Simulation results show that the proposed adaptive algorithm can effectively suppress the spectral regrowth for the wideband PA with nonlinearity and memory effect.","PeriodicalId":344233,"journal":{"name":"2018 8th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128117480","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}