2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)最新文献

Error beacon filtering algorithm based on K-means clustering for underwater Wireless Sensor Networks 基于k均值聚类的水下无线传感器网络误差信标滤波算法

2016 8th IEEE International Conference on Communication Software and Networks (ICCSN) Pub Date : 2016-10-10 DOI: 10.1109/ICCSN.2016.7587196

Linfeng Liu, Jinglin Du, Dongyue Guo

引用次数: 5

Detecting sports fatigue from speech by support vector machine 基于支持向量机的语音运动疲劳检测

2016 8th IEEE International Conference on Communication Software and Networks (ICCSN) Pub Date : 2016-10-10 DOI: 10.1109/ICCSN.2016.7586626

Shuxi Chen, Heming Zhao, Xueqin Chen, Cheng Fan

{"title":"Detecting sports fatigue from speech by support vector machine","authors":"Shuxi Chen, Heming Zhao, Xueqin Chen, Cheng Fan","doi":"10.1109/ICCSN.2016.7586626","DOIUrl":"https://doi.org/10.1109/ICCSN.2016.7586626","url":null,"abstract":"Fatigue is a complex physiological phenomena which is a kind of human body's natural response and self-regulation for protection. Detection of fatigue is becoming indispensable for its positive significance in scientific physical training. Recently, many researchers from both speech signal area and machine learning area have already shown that automatically fatigue detection from speech can carry out, but there is still plenty of room for the improvement of the recognition accuracy. The key to raise the accuracy in voice-based fatigue detection is precise phonetic identification and alignment. Therefore, this paper proposes a method for detecting sports fatigue which is based on feature extraction and machine learning system - support vector machine (SVM). In order to establish a comprehensive identification system, speech samples are trained as speech sources at different times. Experimental results state the feasibility and effectiveness of this method we put forward. What's more, Receiver Operating Characteristic Curves (ROC Curves) are used to double check the results, so that the application of sports fatigue detection is ensured.","PeriodicalId":158877,"journal":{"name":"2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121402443","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

A new decryption algorithm of the quasi-cyclic low-density parity-check codes based McEliece cryptosystem 基于准循环低密度奇偶校验码的McEliece密码系统的一种新的解密算法

2016 8th IEEE International Conference on Communication Software and Networks (ICCSN) Pub Date : 2016-06-04 DOI: 10.1109/ICCSN.2016.7586588

Shuo Zhang, Wenhui Cao, Angyang Li, Wenjie Dong, Liwei Shao

引用次数: 1

High-performance implementation of SM2 based on FPGA 基于FPGA的SM2的高性能实现

2016 8th IEEE International Conference on Communication Software and Networks (ICCSN) Pub Date : 2016-06-04 DOI: 10.1109/ICCSN.2016.7586618

Dan Zhang, Guoqiang Bai

引用次数: 6

Application of complexity and brittleness on software architecture 复杂性和脆弱性在软件体系结构中的应用

2016 8th IEEE International Conference on Communication Software and Networks (ICCSN) Pub Date : 2016-06-04 DOI: 10.1109/ICCSN.2016.7586587

Hong Zhang, Changzhen Hu, Xiaojun Wang

引用次数: 0

A pre-training strategy for convolutional neural network applied to Chinese digital gesture recognition 卷积神经网络预训练策略在中文数字手势识别中的应用

2016 8th IEEE International Conference on Communication Software and Networks (ICCSN) Pub Date : 2016-06-04 DOI: 10.1109/ICCSN.2016.7586597

Yawei Li, Yuliang Yang, Yueyun Chen, Mengyu Zhu

{"title":"A pre-training strategy for convolutional neural network applied to Chinese digital gesture recognition","authors":"Yawei Li, Yuliang Yang, Yueyun Chen, Mengyu Zhu","doi":"10.1109/ICCSN.2016.7586597","DOIUrl":"https://doi.org/10.1109/ICCSN.2016.7586597","url":null,"abstract":"In this paper, we present an approach to classify Chinese digital gesture based on convolutional neural network (CNN). Principal Component Analysis (PCA) is employed to learn convolution kernels as the pre-training strategy. The learned convolution kernels are used for extracting features instead of the random convolution kernels. The convolutional layers can be directly implemented without any further training, such as Back Propagation (BP). For better understanding, we name the proposed architecture for PCA-based Convolutional Neural Network (PCNN). The dataset is divided into six gesture classes including 14500 gesture images, with 12000 images for training and 2500 images for testing. We examine the robustness of the PCNN against noises and distortions. In addition, the MNIST database of handwritten digits is employed to assess the suitability of the PCNN. Different from the CNN, the PCNN reduces the high computational cost of convolution kernels training. About one-fifth of the training time is shortened. The result shows that our approach classifies six gesture classes with 99.92% accuracy. Multiple experiments manifest the PCNN serving as an efficient approach for image processing and object recognition.","PeriodicalId":158877,"journal":{"name":"2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125112401","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: 5

Dynamic analysis of coupled Binary Sawtooth and Sawtooth and Cow patch cellular neural networks 二值锯齿和锯齿与牛补丁细胞神经网络耦合的动态分析

2016 8th IEEE International Conference on Communication Software and Networks (ICCSN) Pub Date : 2016-06-04 DOI: 10.1109/ICCSN.2016.7586589

Mian Wang, L. Min, Min Li

引用次数: 0

A new design of pulse waveform for waveform division multiple access UWB wireless communication system 一种新的波分多址UWB无线通信系统的脉冲波形设计

2016 8th IEEE International Conference on Communication Software and Networks (ICCSN) Pub Date : 2016-06-04 DOI: 10.1109/ICCSN.2016.7586580

Zhendong Yin, Shaoxue Wu, Zhenguo Shi, Zhilu Wu

引用次数: 4

EnergyMap: Energy-efficient embedding of MapReduce-based virtual networks and controlling incast queuing delay EnergyMap:基于mapreduce的虚拟网络的高效嵌入和输入队列延迟控制

2016 8th IEEE International Conference on Communication Software and Networks (ICCSN) Pub Date : 2016-06-04 DOI: 10.1109/ICCSN.2016.7586614

Ebrahim Ghazisaeedi, Changcheng Huang

引用次数: 3

An efficient and cost-effective context-parsing architecture for dynamically reconfigurable cryptographic processor 一种用于动态可重构密码处理器的高效、经济的上下文解析体系结构

2016 8th IEEE International Conference on Communication Software and Networks (ICCSN) Pub Date : 2016-06-04 DOI: 10.1109/ICCSN.2016.7586621

Kai Luo

引用次数: 1