2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI)最新文献_第2页

High-speed human detection in top-view images by feature scaling for informed filters 基于信息滤波器特征缩放的俯视图图像高速人体检测

2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2017-11-01 DOI: 10.1109/ISCMI.2017.8279609

R. Miyamoto, Shuhei Aoki, T. Oki

引用次数: 1

Improvement algorithms of perceptually important point identification for time series data mining 时间序列数据挖掘中感知重要点识别的改进算法

2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2017-11-01 DOI: 10.1109/ISCMI.2017.8279589

Tak-Chung Fu, Y. Hung, F. Chung

引用次数: 13

Robust median background subtraction for embedded vision platforms 嵌入式视觉平台鲁棒中值背景减法

2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2017-11-01 DOI: 10.1109/ISCMI.2017.8279608

B. Cyganek

引用次数: 1

Tensile strength prediction of rubber blends using linear regression techniques 用线性回归技术预测橡胶共混物的拉伸强度

2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2017-11-01 DOI: 10.1109/ISCMI.2017.8279624

R. Martinez, M. Iturrondobeitia, P. Jimbert, J. Ibarretxe

引用次数: 0

Accessibility and search engine optimization on scalable vector graphics 可扩展矢量图形的可访问性和搜索引擎优化

2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2017-11-01 DOI: 10.1109/ISCMI.2017.8279605

Reinaldo Ferraz

{"title":"Accessibility and search engine optimization on scalable vector graphics","authors":"Reinaldo Ferraz","doi":"10.1109/ISCMI.2017.8279605","DOIUrl":"https://doi.org/10.1109/ISCMI.2017.8279605","url":null,"abstract":"The purpose of this paper was to carry out a study about techniques for description of images in Scalable Vector Graphics (SVG), and also assess the way in which search engines index this content. The study addressed the importance of the description of images, how this description has an impact on the web accessibility for screen reader users, and the way in which this content is indexed by search engines. The execution of the study involved a process of empirical observation, which represented a typical environment for the publication of a SVG code on a Web page. The base of the experiment was the publication of content within SVG elements, on a HTML5 (HyperText Markup Language version 5) webpage. After indexing by search engines, an investigation was carried out to see which elements were indexed. We observed the behaviour of the elements <title>, <desc>, <text>, and also the aria-label attribute, as well as support by browsers and assistive technology, and its indexing by search engines. The hypothesis behind this work is that some elements and attributes that are important for accessibility of the SVG content are also useful for indexing the content by search engines. The conclusion of this study has shown that elements such as <desc> and <text> are indexed by search engines, and their combination with other elements and attributes may expand the accessibility of the page and also contribute for the indexing by search engines.","PeriodicalId":119111,"journal":{"name":"2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126426630","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: 7

Design of a compact 2-DOF joint with belt driven actuators 带驱动致动器的紧凑二自由度关节设计

2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2017-11-01 DOI: 10.1109/ISCMI.2017.8279626

Lukáš Bláha

引用次数: 3

Community detection in networks using atom stabilization algorithm 基于原子稳定算法的网络社区检测

2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2017-11-01 DOI: 10.1109/ISCMI.2017.8279604

A. Biswas, Sakshi Khandelwal, Bhaskar Biswas

引用次数: 1

Leveraging wikipedia knowledge to cross-language classify textual news 利用维基百科知识对文本新闻进行跨语言分类

2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2017-11-01 DOI: 10.1109/ISCMI.2017.8279619

M. Mouriño-García, Roberto Pérez-Rodríguez, L. Anido-Rifón

{"title":"Leveraging wikipedia knowledge to cross-language classify textual news","authors":"M. Mouriño-García, Roberto Pérez-Rodríguez, L. Anido-Rifón","doi":"10.1109/ISCMI.2017.8279619","DOIUrl":"https://doi.org/10.1109/ISCMI.2017.8279619","url":null,"abstract":"This paper presents a first attempt of leveraging Wikipedia knowledge to represent textual news stories as vectors of Wikipedia concepts, and analysis its suitability for creating a cross-language classifier of textual news stories written in Spanish when it is trained only with English ones. We describe two approaches. The first one is based only on Wikipedia concepts to represent the news stories (WikiBoC-CLCM). The second approach (Hybrid-WikiBoC) combines the WikiBoC-CLCM classifier with the state-of-the-art approach based on the bag of words model along with machine translation techniques (BoW-MT). To evaluate the approaches proposed we present a dataset composed of news written in English and Spanish, extracted from several online newspapers and news agencies such as Reuters and Europa Press. The results obtained show that the purely based on concepts WikiBoC-CLCM approach offers the highest classification performance, achieving increases up to 55.07% over the state-of-the-art BoW-MT approach. The Hybrid-WikiBoC approach also outperforms the BoW-MT model, achieving performance increases up to 2.34% We conclude that leveraging Wikipedia knowledge is of great advantage in tasks of cross-language classification of textual news stories.","PeriodicalId":119111,"journal":{"name":"2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124229471","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

Fast algorithm for isolated words recognition based on Hidden Markov model stationary distribution 基于隐马尔可夫模型平稳分布的孤立词识别快速算法

2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2017-11-01 DOI: 10.1109/ISCMI.2017.8279612

Pavel Paramonov

{"title":"Fast algorithm for isolated words recognition based on Hidden Markov model stationary distribution","authors":"Pavel Paramonov","doi":"10.1109/ISCMI.2017.8279612","DOIUrl":"https://doi.org/10.1109/ISCMI.2017.8279612","url":null,"abstract":"Over the last few decades Hidden Markov models (HMM) became core technology in automatic speech recognition (ASR). Contemporary HMM approach is based on usage of Gaussian mixture models (GMM) as acoustic models that are capable of statistical inference of speech variability. Deep neural networks (DNN) applied to ASR as acoustic models outperformed GMM in large vocabulary speech recognition. However, conventional approaches to ASR are very computationally expensive, what makes it impossible to apply them in voice control systems on low power devices. This paper focuses on the approach to isolated words recognition with reduced computational costs, what makes it feasible for in-place recognition on low computational resources devices. All components of the isolated words recognizer are described. Quantized Mel-frequency cepstral coefficients are used as speech features. The fast algorithm of isolated words recognition is described. It is based on a stationary distribution of Hidden Markov model and has linear computational complexity. Another important feature of the proposed approach is that it requires significantly less memory to store model parameters comparing to HMM-GMM and DNN models. Algorithm performance is evaluated on TIMIT isolated words dataset. The proposed method performance is compared with the results, that showed conventional forward algorithm, HMM-GMM approach and Self-Adjustable Neural Network. Only HMM-GMM outperformed proposed stationary distribution approach.","PeriodicalId":119111,"journal":{"name":"2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133651043","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

Automatic identification of wake vortex traverse by transport aircraft using fuzzy logic 基于模糊逻辑的运输机尾流轨迹自动识别

2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2017-11-01 DOI: 10.1109/ISCMI.2017.8279613

Aziz Al-Mahadin, F. Bouslama

{"title":"Automatic identification of wake vortex traverse by transport aircraft using fuzzy logic","authors":"Aziz Al-Mahadin, F. Bouslama","doi":"10.1109/ISCMI.2017.8279613","DOIUrl":"https://doi.org/10.1109/ISCMI.2017.8279613","url":null,"abstract":"Aircraft trailing vortices result sometimes in significant disturbance to following aircraft. Separation standards between leading and following aircraft are sometimes over estimated, hence reducing airport capacity. An important contribution to the formation and revision of vortex separations lies in the recognition of wake vortex traverse by pilot reports together with a manual analysis of the flight data routinely recorded by flight data recorders (FDRs). This process has many disadvantages and, therefore, it is desirable to have an automatic identification technique, which can save time, and is both accurate and simple to implement. In this paper, fuzzy logic (FL) is used to model and identify vortex encounters. FL tolerates data imprecision and cope well with complexities in modeling the vortex encounters. Fuzzy linguistic variables are used to model FDR data. Fuzzy rules are derived from a collection of 54 pilot reports of vortex encounters and 210 flight records from FDRs. FL identification models are analyzed and the fuzzy rule base is optimized. An average success rate of identification of 83.7% is obtained. This automatic identification system should enable the aviation authorities to review regularly the appropriateness of wake vortex separation criteria to enhance safety and increase airport capacities.","PeriodicalId":119111,"journal":{"name":"2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117209240","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