检索结果-内蒙古大学图书馆

IEEE international conference on System Engineering and Technology (ICSET)

作者： Almisreb, Ali Abd Abidin, Ahmad Farid Tahir, Nooritawati Md Univ Teknol MARA UiTM Fac Elect Engn Shah Alam 40450 Selangor Malaysia

ISBN: (纸本)9781467367134

Speech recognition techniques for Arabic language are still in its infant stage and gain much attention recently. this is due to Arabic as the language of the Holy book of Muslims;hence it has attracted attention of native speakers and other Muslims who are non-native Arabic speakers as they need to use Arabic language while performing worships. therefore, this research investigated Arabic phonemes recognition specifically for Malay speakers. the proposed methods are evaluated and examined utilizing a corpus which contains Arabic phoneme tokens with Mel Frequency Cepstral Coefficients (MFCC) as feature extraction. Next, recognition process is attained using Dynamic Time Warping (DTW) and pattern recognition Neural Network (PRNN) for verifying the similarity between the Arabic phonemes. In this study, three methods are used to evaluate the recognition stage. Firstly, DTW and PRNN are evaluated solely followed by combination of both. Results attained showed that the overall recognition rate of this method is 89.92% for DTW individually, 94% for PRNN solely whilst for fusion of DTW and PRNN the recognition rate attained is 98.28% and thus proven that fusion of DTW and PRNN can be utilised for recognition of Arabic phonemes.

关键词： Arabic Language Mel Frequency Cepstral Coefficients Dynamic Time Warping pattern recognition Neural Network Malay

来源：评论

学校读者我要写书评

暂无评论

Engineering Applications of Neural Networks: 16th international conference, EANN 2015, Rhodes, Greece, September 25-28 *** 1

引用

丛书名： Communications in Computer and Information Science 517

2015年

作者： Lazaros Iliadis, Chrisina Jayne (eds.)

ISBN: (数字)9783319239835

ISBN: (纸本)9783319239811;9783319239835

this book constitutes the refereed proceedings of the 16th international conference on Engineering Applications of Neural Networks, EANN 2015, held in Rhodes, Greece, in September 2015. the 36 revised full papers presented together with the abstracts of three invited talks and two tutorials were carefully reviewed and selected from 84 submissions. the papers are organized in topical sections on industrial-engineering applications of ANN; bioinformatics; intelligent medical modeling; life-earth sciences intelligent modeling; learning-algorithms; intelligent telecommunications modeling; fuzzy modeling; robotics and control; smart cameras; pattern recognition-facial mapping; classification; financial intelligent modeling; echo state networks.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Detecting moldy Bread using an E-Nose and the KNN classifier 5

Detecting moldy Bread using an E-Nose and the KNN classifier

引用

5th international conference on Computer and Knowledge Engineering (lCCKE)

作者： Estakhroueiyeh, Hossein Rezaei Rashedi, Esmat Grad Univ Adv Technol Dept Elect Engn Kerman Iran

ISBN: (纸本)9781467392808

the human Nose has been used in many applications as an analytical tool. It can measure the quality of foods, drinks, perfumes, cosmetic, and also chemical products. So, it is commonly used for assessing quality through odor. Today, by utilizing technology, we can have E-nose as a machine for this goal. this study employs an E-nose and a classifier for detecting moldy bread. the designed E-nose is consisted of two main elements of hardware and software. the main parts of the system are odor handling and delivery system, signal conditioning and preprocessing unit, and a classification method. this work uses the commercial sensors which are available and helpful to detect moldy Bread. the E-nose uses a mechanism for handling and delivering the odor to increase the capability of sensor array signal output. At last, the KNN classifier algorithm is used to classify the odor into the odor of healthy and moldy bread.

关键词： E-NOSE CLASSIFICATION SENSOR ARRAY ARTIFICIAL OLFACTION ADC CONVERTER pattern recognition KNN CLASSIFIER ATXMEAG MICROCONTROLLER UART

来源：评论

学校读者我要写书评

暂无评论

Proceedings - 2015 IEEE international conference on Smart City, SmartCity 2015, Held Jointly with 8th IEEE international conference on Social Computing and Networking, SocialCom 2015, 5th IEEE international conference on Sustainable Computing and Communications, SustainCom 2015, 2015 international conference on Big Data Intelligence and Computing, DataCom 2015, 5th international Symposium on Cloud and Service Computing, SC2 2015

Proceedings - 2015 IEEE International Conference on Smart Ci...

引用

IEEE international conference on Smart City, SmartCity 2015

ISBN: (纸本)9781509018932

the proceedings contain 195 papers. the topics discussed include: detecting pedestrians behavior in building based on Wi-Fi signals;e-health services for elderly care based on Google cloud messaging;on interesting place finding in social sensing: an emerging smart city application paradigm;collaborative representation-based robust face recognition by discriminative low-rank representation;a self-adaptive video dual watermarking based on the motion characteristic and geometric invariant for ubiquitous multimedia;the role of big data on smart grid transition;sensing information modeling for smart city;exploration of collective pattern to improve location prediction of mobile phone users;performance modeling of preemption-based packet scheduling for data plane in software defined networks;and aspect-oriented customization of the scheduling algorithms and the resource access protocols of a real-time operating system family.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Proceedings - 5th international conference on Electrical Engineering and Informatics: Bridging the Knowledge between Academic, Industry, and Community, ICEEI 2015

Proceedings - 5th International Conference on Electrical Eng...

引用

5th international conference on Electrical Engineering and Informatics, ICEEI 2015

ISBN: (纸本)9781467373197

the proceedings contain 134 papers. the topics discussed include: FPGA implementation of CORDIC algorithms for sine and cosine generator;design and implementation of DCBOTA in delta-sigma ADC for communication system;development of an FPGA-based sub-module as three-phase spindle motor speed controller for CNC PCB milling machine;design and implementation of visible light communication system using pulse width modulation;structural offline handwriting character recognition using Levenshtein distance;lenient negotiation model based on altruistic utility and its implication on agent-mediated negotiation;histogram based color pattern identification of multiclass fruit using feature selection;development of a PC-based markerless augmented reality;and development of Indonesian-Japanese statistical machine translation using lemma translation and additional post-process.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Autonomous Robot Navigation Based on pattern recognition Techniques and Artificial Neural Networks

Autonomous Robot Navigation Based on Pattern Recognition Tec...

引用

5th international Work-conference on the Interplay Between Natural and Artificial Computation (IWINAC)

作者： Quinonez, Yadira Ramirez, Mario Lizarraga, Carmen Tostado, Ivan Bekios, Juan Univ Autonoma Sinaloa Fac Informat Mazatlan Culiacan Mexico Univ Catolica Norte Chile Ingn Civil Comp & Informat Antofagasta Chile

ISBN: (纸本)9783319188331;9783319188324

the autonomous navigation of robots is one of the main problems among the robots due to its complexity and dynamism as it depends on environmental conditions as the interaction between themselves, persons or any unannounced change in the environment. pattern recognition has become an interesting research line in the area of robotics and computer vision, however, the problem of perception extends beyond that of classification, main idea is training a specified structure to perform the classifying a given pattern. In this work, we have proposed the application of pattern recognition techniques and neural networks with back propagation learning procedure for the autonomous robots navigation. the objective of this work is to achieve that a robot is capable of performing a path in an unknown environment, through pattern recognition identifying four classes that indicate what action to perform, and then, a dataset with 400 images that were randomly divided with 70% for the training process, 15% for validation and 15% for the test is generated to train by neural network with different configurations. this purpose ROS and robot TurtleBot 2 are used. the paper ends with a critical discussion of the experimental results.

关键词： Autonomous robots Artificial neural network pattern recognition Neuro-controllers ROS TurtleBot 2

来源：评论

学校读者我要写书评

暂无评论

5th international Provenance and Annotation Workshop, IPAW 2014

5th International Provenance and Annotation Workshop, IPAW 2...

引用

5th international Provenance and Annotation Workshop, IPAW 2014

ISBN: (纸本)9783319164618

the proceedings contain 45 papers. the special focus in this conference is on Standardization of Provenance Models, Services, Representations, Applications of Provenance, Provenance Management Architectures, Security and Privacy Implications of Provenance. the topics include: Generating synthetic PROV graphs with predictable structure;walking into the future with PROV pingback;regenerating and quantifying quality of benchmarking data using static and dynamic provenance;capturing and analyzing provenance of scripts;exploiting workflow provenance to surface scientific data provenance;auditing and maintaining provenance in software packages;a provenance-based policy control framework for cloud services;applying provenance to protect attribution in distributed computational scientific experiments;generating scientific documentation for computational experiments using provenance;computing location-based lineage from workflow specifications to optimize provenance queries;a lightweight provenance pingback and query service for web publications;provenance-based searching and ranking for scientific workflows;improving workflow design using abstract provenance graphs;early discovery of tomato foliage diseases based on data provenance and pattern recognition;enhancing provenance representation with knowledge based on NFR conceptual modeling;towards supporting provenance gathering and querying in different database approaches;challenges for provenance analytics over geospatial data;using well-founded provenance ontologies to query meteorological data and provenance support for medical research.

关键词：

来源：评论

学校读者我要写书评

暂无评论

OP-Triplet-ELM: Identification of real and pseudo microRNA precursors using extreme learning machine with optimal features

引用

JOURNAL OF bioinformatics AND COMPUTATIONAL BIOLOGY 2016年第1期14卷 1650006-1650006页

作者： Pian, Cong Zhang, Jin Chen, Yuan-Yuan Chen, Zhi Li, Qin Li, Qiang Zhang, Liang-Yun Nanjing Agr Univ Coll Sci Nanjing 210095 Jiangsu Peoples R China

MicroRNAs (miRNAs) are a set of short (21-24 nt) non-coding RNAs that play significant regulatory roles in the cells. Triplet-SVM-classifier and MiPred (random forest, RF) can identify the real pre-miRNAs from other hairpin sequences with similar stem-loop (pseudo pre-miRNAs). However, the 32-dimensional local contiguous structure-sequence can induce a great information redundancy. therefore, it is essential to develop a method to reduce the dimension of feature space. In this paper, we propose optimal features of local contiguous structure-sequences (OP-Triplet). these features can avoid the information redundancy effectively and decrease the dimension of the feature vector from 32 to 8. Meanwhile, a hybrid feature can be formed by combining minimum free energy (MFE) and structural diversity. We also introduce a neural network algorithm called extreme learning machine (ELM). the results show that the specificity (S-p) and sensitivity (S-n) of our method are 92.4% and 91.0%, respectively. Compared with Triplet-SVM-classifier, the total accuracy (ACC) of our ELM method increases by 5%. Compared with MiPred (RF) and miRANN, the total accuracy (ACC) of our ELM method increases nearly by 2%. What is more, our method commendably reduces the dimension of the feature space and the training time.

关键词： RNA germ cells pattern recognition algorithm

来源：评论

学校读者我要写书评

暂无评论

pattern recognition in embedded systems: An overview 26th

Pattern recognition in embedded systems: An overview

引用

26th international conference on Database and Expert Systems Applications, DEXA 2015

作者： Perez-Cortes, Juan-Carlos Instituto Tecnologico de Informatica Universitat Politecnica de Valencia Valencia Spain

ISBN: (纸本)9783319228488

Many pattern recognition tasks must be implemented with embedded systems, since interactions with humans and with the environment are among the most frequent functions they perform. Traditionally seen as an area of Artificial Intelligence (AI) that comes after the perception process, a classical PR application takes a set of physical measures obtained by sensors or communication subsystems and generates actions using actuators or provides information through the display or an I/O port. In this talk, some of the application domains, optimization techniques and important, tradeoffs associated to the computational issues and time constraints involved, along with open problems and solution methodologies, are presented. © Springer international Publishing Switzerland 2015.

关键词： Embedded systems

来源：评论

学校读者我要写书评

暂无评论

5th international conference on Intelligence Science and Big Data Engineering, IScIDE 2015

5th International Conference on Intelligence Science and Big...

引用

5th international conference on Intelligence Science and Big Data Engineering, IScIDE 2015

ISBN: (纸本)9783319239873

the proceedings contain 65 papers. the special focus in this conference is on Intelligence Science and Big Data Engineering. the topics include: Fast and accurate text detection in natural scene images;orthogonal procrustes problem based regression with application to face recognition with pose variations;a new fisher discriminative K-SVD algorithm for face recognition;learning sparse features in convolutional neural networks for image classification;semi random patches sampling based on spatio-temporal information for facial expression recognition;band selection of hyperspectral imagery using a weighted fast density peak-based clustering approach;modified supervised kernel PCA for gender classification;fast film genres classification combining poster and synopsis;a heterogeneous image transformation based synthesis framework for face sketch aging;a novel image segmentation algorithm based on improved active contour model;supervised spectral embedding for human pose estimation;matrix based regression with local position-patch and nonlocal similarity for face hallucination;facial occlusion detection via structural error metrics and clustering;graph regularized structured sparse subspace clustering;precise image matching;assigning PLS based descriptors by SVM in action recognition;coupled dictionary learning with common label alignment for cross-modal retrieval;combining active learning and semi-supervised learning based on extreme learning machine for multi-class image classification;multi-modal retrieval via deep textual-visual correlation learning;bidirectional covariance matrices;image denoising using modified nonsubsampled contourlet transform combined with gaussian scale mixtures model and high dynamic range image rendering with a luminance-chromaticity independent model.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：