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2016 International Conference on Audio, Language and Image Processing (ICALIP)最新文献

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The new eye of smart city: Novel citizen Sentiment Analysis in Twitter 智慧城市的新视角:Twitter上新颖的公民情感分析
2016 International Conference on Audio, Language and Image Processing (ICALIP) Pub Date : 2016-07-11 DOI: 10.1109/ICALIP.2016.7846617
Mengdi Li, Eugene Ch’ng, A. Chong, S. See
{"title":"The new eye of smart city: Novel citizen Sentiment Analysis in Twitter","authors":"Mengdi Li, Eugene Ch’ng, A. Chong, S. See","doi":"10.1109/ICALIP.2016.7846617","DOIUrl":"https://doi.org/10.1109/ICALIP.2016.7846617","url":null,"abstract":"Governments across the world are trying to move closer to their citizens for better smart city monitoring and governance. Twitter Sentiment Analysis is opening new opportunities to achieve it. In this paper, a methodological framework to collect, pre-process, analyse and map citizen sentiment from Twitter in helping the Governments monitor their citizens' moods is proposed based on the prior works. Multinomial Naïve Bayes classifier is used to build a sentiment classifier, which employs a variety of features including a specific microblogging feature - emoji. Our proposed sentiment model outperforms the top system in the task of Sentiment Analysis in Twitter in SemEval-2013 in terms of averaged F scores. The novel feature emoji has proved to be useful for Sentiment Analysis in Twitter data in this work. We also apply our model to real-world tweets and present how Government agencies can track the fluctuation of citizens' moods using mapping techniques.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"27 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130719706","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: 32
A collaborative filtering recommendation based on users' interest and correlation of items 基于用户兴趣和项目相关性的协同过滤推荐
2016 International Conference on Audio, Language and Image Processing (ICALIP) Pub Date : 2016-07-11 DOI: 10.1109/ICALIP.2016.7846564
Fei-yue Ye, Haolin Zhang
{"title":"A collaborative filtering recommendation based on users' interest and correlation of items","authors":"Fei-yue Ye, Haolin Zhang","doi":"10.1109/ICALIP.2016.7846564","DOIUrl":"https://doi.org/10.1109/ICALIP.2016.7846564","url":null,"abstract":"Collaborative filtering (CF) is one of the most commonly used recommendation technologies in the recommender systems of e-commerce. However, due to the sparsity of users' rating data and the single ratings similarity, traditional CF algorithms show certain shortcomings. Aiming at these problems, a CF recommendation algorithm based on users' interests and the correlation of items is proposed. By using the algorithm, the similarity of users is measured according to users' interests based on the categorical attributes of items, while that of items is computed by introducing the association rules of data mining. The results of the tests on Movielens dataset manifest that the modified algorithm presents higher recommendation accuracy than the traditional CF algorithms.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117124020","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: 18
ESD characteristics of GGNMOS device in deep sub-micron CMOS technology 深亚微米CMOS技术中GGNMOS器件的ESD特性
2016 International Conference on Audio, Language and Image Processing (ICALIP) Pub Date : 2016-07-11 DOI: 10.1109/ICALIP.2016.7846533
J. Shi
{"title":"ESD characteristics of GGNMOS device in deep sub-micron CMOS technology","authors":"J. Shi","doi":"10.1109/ICALIP.2016.7846533","DOIUrl":"https://doi.org/10.1109/ICALIP.2016.7846533","url":null,"abstract":"MOS (Metal-Oxide-Semiconductor) transistor is widely used as ESD (Electro-Static Discharge) protection because of its good snapback characteristics. GGNMOS (Grounded-Gate N-channel MOS) has the advantage of simple construction, easy triggering and low power dissipation, also has the self-ability of ESD protection. The thesis researches in deep sub-micron CMOS (Complementary MOS) technology and MOS device physical dimensions impacting on GGNMOS's ESD characteristics. And the conclusion provide evidence for the device layout design.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116508638","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: 10
Online surveillance object classification with training data updating 基于训练数据更新的在线监控对象分类
2016 International Conference on Audio, Language and Image Processing (ICALIP) Pub Date : 2016-07-11 DOI: 10.1109/ICALIP.2016.7846535
Chunni Dai
{"title":"Online surveillance object classification with training data updating","authors":"Chunni Dai","doi":"10.1109/ICALIP.2016.7846535","DOIUrl":"https://doi.org/10.1109/ICALIP.2016.7846535","url":null,"abstract":"One of the main problems of object online classification using classifier trained offline is the mismatch of online test images and offline training data. In this paper, we propose an online video object classification algorithm with the mechanism of training data updating. By selecting part of the uncertain test data captured online and labeling them artificially to replace a proportion of the training data, the classifier can be retrained using the renew online training data, and thus the possible mismatch problem can be avoided and then higher classification accuracy can be achieved. From the experiments based on online surveillance video object classification, it was observed that: compared with existing classifier without training-data-updating, the proposed method can achieve up to average 18% classification accuracy increasing.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124863407","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
TFT-LCD uneven brightness correction and recognition of MURA area based on EMD method 基于EMD方法的TFT-LCD MURA区域亮度不均匀校正与识别
2016 International Conference on Audio, Language and Image Processing (ICALIP) Pub Date : 2016-07-11 DOI: 10.1109/ICALIP.2016.7846600
Ziwei Zhu, Xiang Qian, Qian Zhao, Qian Zhou, K. Ni, Xiaohao Wang
{"title":"TFT-LCD uneven brightness correction and recognition of MURA area based on EMD method","authors":"Ziwei Zhu, Xiang Qian, Qian Zhao, Qian Zhou, K. Ni, Xiaohao Wang","doi":"10.1109/ICALIP.2016.7846600","DOIUrl":"https://doi.org/10.1109/ICALIP.2016.7846600","url":null,"abstract":"In automatic visual inspection of TFT-LCD, MURA defect is difficult to recognize due to uneven brightness of the panel. This paper proposed a preprocessing method to eliminate such unevenness using Empirical Mode Decomposition (EMD). Comparing to existing algorithms, such as the Principal Components Analysis (PCA), this method provided a more integral distribution of the unevenness. Then a grey level nonlinear transformation was proposed to eliminate the unevenness of the original image. Besides eliminating the unevenness, results indicated that the EMD method can further give the upheaval features, as white points and texture features, and graded features, as MURA defect, which suggested that it may be possible to extract the MURA defect in an uneven illumination image by the proposed method.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116607483","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: 8
Design and implementation of indoor positioning system based on iBeacon 基于iBeacon的室内定位系统的设计与实现
2016 International Conference on Audio, Language and Image Processing (ICALIP) Pub Date : 2016-07-11 DOI: 10.1109/ICALIP.2016.7846648
Xiangjie Li, Dan Xu, Xuzhi Wang, Rizwan Muhammad
{"title":"Design and implementation of indoor positioning system based on iBeacon","authors":"Xiangjie Li, Dan Xu, Xuzhi Wang, Rizwan Muhammad","doi":"10.1109/ICALIP.2016.7846648","DOIUrl":"https://doi.org/10.1109/ICALIP.2016.7846648","url":null,"abstract":"With the rapid increase in data and multimedia services, demand for positioning has increased especially in complex indoor environment which often needs to determine the location information of the mobile terminal. There is a lack of accuracy and robustness in current indoor positioning system. This paper designs and implements an indoor positioning system based on iBeacon. We adopt Gaussian filter and Unscented Kalman filter method to robustly extract strong signals from iBeacon device. With the extracted signals, we compared them with-in database. The goal of this paper is to design and implement a mobile-based indoor location system which has the mobile applications with the Bluetooth Low Energy technology based on the iBeacon. Using a mobile terminal our system can show position results. Moreover, our system can run on both Android systems and IOS ones. Our method has better performance compared with WiFi method. The experimental results demonstrates that the error is only within 4 meters and our system can achieve accurate and robust positioning.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129061301","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: 15
The retrieval of the ceramic productions based on the pairwise geometric histogram 基于两两几何直方图的陶瓷产品检索
2016 International Conference on Audio, Language and Image Processing (ICALIP) Pub Date : 2016-07-01 DOI: 10.1109/ICALIP.2016.7846582
Y. Peng, Yilai Zhang
{"title":"The retrieval of the ceramic productions based on the pairwise geometric histogram","authors":"Y. Peng, Yilai Zhang","doi":"10.1109/ICALIP.2016.7846582","DOIUrl":"https://doi.org/10.1109/ICALIP.2016.7846582","url":null,"abstract":"The paper mainly argues two questions, one is how to extract the feature of the ceramic productions based on the pairwise geometric histogram, and another is how to index and retrieval the ceramic productions. They are researched including the PGH-based shape coding, the prediction of the match cost, and the PGH-based retrieval. The PGH-based retrieval model of the ceramic productions is analyzed, proposed and applied to the ceramic retrieval experiment at last. The experimental results show that the PGH-based retrieval has the high retrieval accuracy to the same kind of target with different size or direction. It has a universal applicability.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126854451","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
Spatial soundfield recording using compressed sensing techniques 空间声场记录使用压缩传感技术
2016 International Conference on Audio, Language and Image Processing (ICALIP) Pub Date : 2016-07-01 DOI: 10.1109/ICALIP.2016.7846556
Jian-Hong Pan, C. Bao, Bing Bu, Mao-shen Jia
{"title":"Spatial soundfield recording using compressed sensing techniques","authors":"Jian-Hong Pan, C. Bao, Bing Bu, Mao-shen Jia","doi":"10.1109/ICALIP.2016.7846556","DOIUrl":"https://doi.org/10.1109/ICALIP.2016.7846556","url":null,"abstract":"We present a new method for spatial soundfield recording based on the application of compressed sensing theory. The major problem in spatial soundfield recording system is how to record the higher order harmonic components of a given soundfield using as few as possible of microphones. The proposed method is under the assumption that the soundfield is sparse in source domain. More specifically, based on the general model of soundfield, we apply sparse decomposition to the harmonics, which are calculated according to the sound pressure received by a circular microphone array, and then upscale the harmonics to higher order. Simulation results indicate that our proposed method can drastically reduce the required number of microphones for capturing large region soundfield compared to the current methods, especially in high frequencies.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122291059","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 MIC-based acceleration model of Deep Learning
2016 International Conference on Audio, Language and Image Processing (ICALIP) Pub Date : 2016-07-01 DOI: 10.1109/ICALIP.2016.7846603
Jian-long Zhang, Xumin Zheng, W. Shen, D. Zhou, Feng Qiu, Huiran Zhang
{"title":"A MIC-based acceleration model of Deep Learning","authors":"Jian-long Zhang, Xumin Zheng, W. Shen, D. Zhou, Feng Qiu, Huiran Zhang","doi":"10.1109/ICALIP.2016.7846603","DOIUrl":"https://doi.org/10.1109/ICALIP.2016.7846603","url":null,"abstract":"In the era of Computational Intelligence developing rapidly, Deep Learning (DL) has gradually won acceptance from the world of Artificial Intelligence (AI) and it has been widely applied to the industry. However, the training of the network requires a considerable amount of time. For instances, the training of Convolution Neural Network (CNN) and Deep Belief Network (DBN) may take one week or even longer. Therefore, a new challenge has been put forward to the world of Artificial Intelligence, which demands decrease on the training time of Deep Learning algorithm effectively. And in this paper, we proposed a Deep Learning acceleration model based on MIC, which can reduce the training time significantly by using Restricted Boltzmann Machine (RBM) and Logistic Regression (LR). First, it conducts vectorization on the program, and then accelerates it by using the model we proposed in this paper. And the paper mainly consists of the design of the parallel model, which comprising data parallelism, model parallelism, a hybrid of data and model parallelism and so on. And experiments showed that the MIC-based acceleration model can reduce the training time to 1/10 of the original.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125137499","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
Time series mining based on multilayer piecewise aggregate approximation 基于多层分段聚合近似的时间序列挖掘
2016 International Conference on Audio, Language and Image Processing (ICALIP) Pub Date : 2016-07-01 DOI: 10.1109/ICALIP.2016.7846629
Zhenghui Zhu, Renhan Cai, Xiaojian Cui, Lingyu Xu, Yunlan Xue, Gaowei Zhang, Lei Wang, Xiang Yu
{"title":"Time series mining based on multilayer piecewise aggregate approximation","authors":"Zhenghui Zhu, Renhan Cai, Xiaojian Cui, Lingyu Xu, Yunlan Xue, Gaowei Zhang, Lei Wang, Xiang Yu","doi":"10.1109/ICALIP.2016.7846629","DOIUrl":"https://doi.org/10.1109/ICALIP.2016.7846629","url":null,"abstract":"Time series is a ubiquitous data existed in different domains including finance, medicine, business and other industrial fields. Recently, time series data mining attracts much attention. In this paper, we propose multilayer piecewise aggregate approximation (MPA) to measure the Similarity of time series. The proposed method is constituted of two parts: multi-level segment method based on extreme value is used to extract important identification sub-series of time series. And piecewise aggregate approximation is used to transform the data and to extract features from time series so as to reduce data dimension. After that, dynamic time warping is applied to measure the distance between two time series. The experimental results demonstrate that the proposed method can extract features and reduce data dimension efficiently, with improving the efficiency and the accuracy of time warping distance method significantly.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129441901","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
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