2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)最新文献

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Research on the three-dimensional interactive restoration of ecological environment based on the new “grey box model” MR technology 基于新“灰盒模型”MR技术的生态环境三维交互修复研究
Xu Wu, YiLong Ren, Guo Wei, He Jin
{"title":"Research on the three-dimensional interactive restoration of ecological environment based on the new “grey box model” MR technology","authors":"Xu Wu, YiLong Ren, Guo Wei, He Jin","doi":"10.1109/CIAPP.2017.8167240","DOIUrl":"https://doi.org/10.1109/CIAPP.2017.8167240","url":null,"abstract":"The demand for urban ecological environment is becoming more and more urgent. We use MR-Mixed Reality technology to reserch the restoration of urban ecological environment. First of all, we build a “gray box” model based on XML-Xtensible Markup Language and GIS-Group Innovation Space software and X3D virtual reality development platform. Then we using virtual reality development platformX3D and Kinect equipment to achieve the user and the system somatosensory interaction. Immediately following we propose the improvement of HMM-Hidden Markov Model gesture recognition algorithm based on both hands. This somatosensory interaction is more natural. Finally, we use ARToolKit to visualize the information of the virtual environment, Initial integration of Virtual Reality and Augmented Reality technologies. By giving a simple and three-dimensional scene, new and dynamic urban ecological multidimensional information, the multi-dimensional perception of the ecological environment information of the virtual city is enhanced.","PeriodicalId":187056,"journal":{"name":"2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130600624","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
The structure optimized of X-band standing wave accelerator based on genetic algorithm 基于遗传算法对x波段驻波加速器进行结构优化
Hu Yu-zhe, Yang Jinsheng, Li Yongtao
{"title":"The structure optimized of X-band standing wave accelerator based on genetic algorithm","authors":"Hu Yu-zhe, Yang Jinsheng, Li Yongtao","doi":"10.1109/CIAPP.2017.8167270","DOIUrl":"https://doi.org/10.1109/CIAPP.2017.8167270","url":null,"abstract":"Aiming at the problem of optimizing the structural of X-band standing wave accelerator with multi-parameter, a method for automatic cavities structure optimized and based on genetic algorithm was proposed in this paper. In this method accelerated structure model was built with multi-parameter, using MATLAB and electromagnetic stimulation software CST to work together to optimize multi-parameter structure, and an accelerated structure with high shunt impedance had been obtained. Compared with traditional single variable debug, plenty of time is saved, and design efficiency is improved. In addition, this method adds a function of stabilizing frequency which made the optimization process more intelligent and the optimization results more accurate.","PeriodicalId":187056,"journal":{"name":"2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130038617","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
Spatial distribution characteristics of air pollutants during heating season in Shenyang city 沈阳市采暖季大气污染物空间分布特征
Cheng Liu, Zhonghu Yuan, Yingkui Du, Xiaoxuan Qi, Chunhe Shi, Nan Wang, Xiaowei Han
{"title":"Spatial distribution characteristics of air pollutants during heating season in Shenyang city","authors":"Cheng Liu, Zhonghu Yuan, Yingkui Du, Xiaoxuan Qi, Chunhe Shi, Nan Wang, Xiaowei Han","doi":"10.1109/CIAPP.2017.8167052","DOIUrl":"https://doi.org/10.1109/CIAPP.2017.8167052","url":null,"abstract":"Shenyang was a representative heavily polluted industrial city in northeast China. Two types of urban area with significant spatial position difference were divided by arterial traffic as the surrounding and the core urban area. To reduce the impact of disturbing factors such as firecrackers in the traditional Chinese festivals, the observation period of the monitoring data was selected from November 1, 2015 to January 1, 2016. The data sources were picked from eight national monitoring stations and the daily average concentration of the main air pollutants that included PM<inf>2.5</inf>, PM<inf>10</inf>, SO<inf>2</inf>, NO<inf>2</inf> and O<inf>3</inf>. The overall analyzes of distribution characteristics of the air pollutant was shown that the principal pollutants with highest frequency were PM10, SO<inf>2</inf> and PM<inf>2.5</inf>, the average proportion was 70.36%, 14.11% and 11.89% respectively. In the contrastive analysis of the core urban area and the surrounding urban area, the principal pollutants in core urban areas was PM<inf>10</inf>, SO<inf>2</inf> and PM<inf>2.5</inf>, but in surrounding areas PM<inf>10</inf>, PM<inf>2.5</inf> and SO<inf>2</inf>, which were quite different. So the conclusion that the emission of SO<inf>2</inf> in the core urban areas was greatly higher than that in the surrounding urban areas was confirmed.","PeriodicalId":187056,"journal":{"name":"2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126350273","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
Aspect based opinion mining on restaurant reviews 基于方面的餐厅评论意见挖掘
I. Perera, H. A. Caldera
{"title":"Aspect based opinion mining on restaurant reviews","authors":"I. Perera, H. A. Caldera","doi":"10.1109/CIAPP.2017.8167276","DOIUrl":"https://doi.org/10.1109/CIAPP.2017.8167276","url":null,"abstract":"Nowadays, expansion of social media and internet are driving to a whole another level. Most of the users critically review anything on the internet specially foods and services in restaurants to showcase their humble opinion. These opinions are very valuable in decision making process. Analyzing and extracting the actual opinion throughout these reviews manually is practically difficult since there are large numbers of reviews available in the various aspects. So, an automated methodology is needed to solve this problem. Opinion mining or sentiment analysis is such methodology to analysis these reviews and classify topics as positive, negative and neutral. There are three different levels of opinion mining; Document based, Sentence based and Aspect based. Document and Sentence based opinion mining focus on overall polarity of document and sentence respectively and do not describe the important aspects of each opinions which is more accurate. Hence Aspect based opining mining is the trending topic and this paper is specifically focused on it on reviews in the domain of restaurants.","PeriodicalId":187056,"journal":{"name":"2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126459851","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: 29
A novel ACM for segmentation of medical image with intensity inhomogeneity 一种用于强度非均匀性医学图像分割的新型ACM
Yuefeng Niu, Jianzhong Cao, Liqiang Liu, Huinan Guo
{"title":"A novel ACM for segmentation of medical image with intensity inhomogeneity","authors":"Yuefeng Niu, Jianzhong Cao, Liqiang Liu, Huinan Guo","doi":"10.1109/CIAPP.2017.8167228","DOIUrl":"https://doi.org/10.1109/CIAPP.2017.8167228","url":null,"abstract":"This paper presents a scheme of improvement on the Li's model in terms of intensity inhomogeneous images. By introducing local entropy to Li's model, our method is able to segment medical images with intensity inhomogeneity and estimate the bias field simultaneously. The level set energy function is redefined as a weighted energy integral, where the weight is local entropy deriving from a grey level distribution of image. The total energy functional is then incorporated into a level set formulation. Experimental results on test images show that our approach outperforms the existing locally statistical active contour model (LSACM) and Li's model in terms of accuracy and efficiency with less central processing unit (CPU) time.","PeriodicalId":187056,"journal":{"name":"2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133684492","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: 4
An integrity-guaranteed timeout threshold algorithm for UDP flow identification 用于UDP流识别的完整性保证超时阈值算法
Xiaoguo Zhang, Yanjun Su, W. Ding
{"title":"An integrity-guaranteed timeout threshold algorithm for UDP flow identification","authors":"Xiaoguo Zhang, Yanjun Su, W. Ding","doi":"10.1109/CIAPP.2017.8167260","DOIUrl":"https://doi.org/10.1109/CIAPP.2017.8167260","url":null,"abstract":"Network flow records are the foundational and key data of network flow technology. As network flow technology is widely applied, the correctness of network flow record becomes more and more important. For UDP flow identification, timeout strategy is accepted. However, there is no research to analyze the principle and reasonableness of timeout strategy, so we propose a concept of attribute recognition degree that can make a quantitative analysis of the contribution degree of flow attribute for flow identification, and based on this concept we analyze the principle and reasonableness of timeout strategy and the analysis results prove that timeout strategy is suitable for UDP flow identification. Then, on the basis of the rate of number change of UDP flow records, we propose a timeout threshold algorithm for UDP flow identification in order to improve the accuracy of UDP flow identification with timeout strategy. A lot of analyses and experimental results demonstrate that our timeout threshold algorithm can guarantee the integrity and correctness of UDP flows.","PeriodicalId":187056,"journal":{"name":"2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132580988","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
Resarch on metedata describe model of writing process for primary grades based on RDF 基于RDF的小学年级写作过程元数据描述模型研究
Yundong Shi, Xiaoliang Zhu
{"title":"Resarch on metedata describe model of writing process for primary grades based on RDF","authors":"Yundong Shi, Xiaoliang Zhu","doi":"10.1109/CIAPP.2017.8167216","DOIUrl":"https://doi.org/10.1109/CIAPP.2017.8167216","url":null,"abstract":"Primary grades students' thoughts are usually fragmented and their organizational skills of language are poor, so they often can't express and organize their thoughts clearly and logically when they write compositions. Therefore, it is necessary to develop a writing guidance app with information technology which is suitable for primary grades students. The key to writing guidance is to give a reasonable writing process, and then to help students follow the steps of writing process to build their own essay outlines. Although the framework of compositions has not fixed regular, the types of compositions of primary grades students are often specific, so the guideline for writing is often traceable. In this paper, a set of generic writing process models are built by the analysis of a large number of excellent travel notes as an example, then the metadata description model of its step node is established based on the perspective of app development. Finally. it is implemented as the RDF model by using JENA framework so that it can present a technical support for the development of primary grades writing guidance app.","PeriodicalId":187056,"journal":{"name":"2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132956325","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
mydNews: Ranked news based on sentiment analysis and recursive cosine similarity mydNews:基于情感分析和递归余弦相似度的新闻排名
Saqib Mushtaq, Murtaza Ashraf, Hamid Mukthar, M. S. Mushtaq, G. Tahir
{"title":"mydNews: Ranked news based on sentiment analysis and recursive cosine similarity","authors":"Saqib Mushtaq, Murtaza Ashraf, Hamid Mukthar, M. S. Mushtaq, G. Tahir","doi":"10.1109/CIAPP.2017.8167223","DOIUrl":"https://doi.org/10.1109/CIAPP.2017.8167223","url":null,"abstract":"News articles provide a large data set which can be used to classify information such as author's point of view, affiliation and biasedness. Classification on the basis of positive and negative content can help readers to understand the author's sentiments. mydNews application is a proposed a solution to achieve this objective of presenting author's opinion in an article. We performed sentiment analysis using CoreNLP API presented by Stanford and through experimentation we have reached to a conclusion that using 60% sentiment value of text and 40% of headline produces results nearest to human evaluation. We have proposed a new algorithm Recursive Cosine for similarity matching of news. Our algorithm uses classical cosine in a different way. We compared latest news articles with the one's published in same day by different authors and we have achieved 5% better results than classical cosine measure by using the newly constructed algorithm.","PeriodicalId":187056,"journal":{"name":"2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128079897","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
Reference path optimization for autonomous ground vehicles driving in structured environments 结构化环境中自动驾驶地面车辆参考路径优化
Chaobing Li, Xiaohui Li, Junxiang Li, Q. Zhu, B. Dai
{"title":"Reference path optimization for autonomous ground vehicles driving in structured environments","authors":"Chaobing Li, Xiaohui Li, Junxiang Li, Q. Zhu, B. Dai","doi":"10.1109/CIAPP.2017.8167202","DOIUrl":"https://doi.org/10.1109/CIAPP.2017.8167202","url":null,"abstract":"This paper focuses on the reference path optimization problem for Autonomous Ground Vehicles driving in structured environments. The reference path optimization algorithm is composed of three steps: data acquisition and curvature calculation, initializing straights of the reference path, using path primitives to connect the turn between the straights. In the process of data acquisition, we get the position of trajectory point and the motion data of vehicle through a probe vehicle equipped with a variety of on-board sensors. Then, the curvature information can be found using the relationship between the curvature and the steering angle of the probe vehicle, and the reference path is decomposed into a straight portion and a turn portion. In the initializing straights step, straights are fitted using the least squares method. Finally, we use clothoid curve as a path primitive to fit the remainder of the reference path. And the gradient descent method is used to improve the accuracy of the fitting path. The experimental results show that the proposed algorithm can effectively eliminate the position, heading angle and curvature noise in the reference path while greatly reducing the memory storage for saving road geometry.","PeriodicalId":187056,"journal":{"name":"2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131455145","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
Design and implementation of distributed session based on Beansdb 基于Beansdb的分布式会话的设计与实现
Yiqiao Li, Yun Wu, Xun Duan
{"title":"Design and implementation of distributed session based on Beansdb","authors":"Yiqiao Li, Yun Wu, Xun Duan","doi":"10.1109/CIAPP.2017.8167251","DOIUrl":"https://doi.org/10.1109/CIAPP.2017.8167251","url":null,"abstract":"With the widely application of distributed systems, to solve the Sessions information sharing between various servers is becoming increasingly important. Meanwhile, multiple clients also have to tackle the problem of Session information sharing. The traditional Session method conducts information sharing via information replication. But, to a high degree, it has become the bottleneck of browse speed of web pages. Fortunately, the distributed Session based on Beansdb proposed in this paper not only enables the information share effectively, but also solves the data persistence storage problem by making the utmost of the Beansdb's capability of persistent storage. Ultimately, the experiments verify that those websites applied with the distributed Session based on Beansdb accelerate the users' web page browse speed, presenting a better performance and a strong extensibility.","PeriodicalId":187056,"journal":{"name":"2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121883263","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
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