2018 International Conference on Information and Communication Technology Convergence (ICTC)最新文献_第9页

Efficient SIC-MMSE Detection Using Neumann Series Expansion 基于诺伊曼级数展开的SIC-MMSE检测

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539491

Zhilin Fu, Satya Chan, Sooyoung Kim

引用次数: 3

Pedestrian Video Data Abstraction and Classification for Surveillance System 行人视频数据的提取与分类

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539426

Ho-chul Shin, Jae-Y. Lee

引用次数: 3

Robust Ego-motion Estimation and Map Matching Technique for Autonomous Vehicle Localization with High Definition Digital Map 基于高清数字地图的自动驾驶汽车定位鲁棒自运动估计与地图匹配技术

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539518

Seung-Jun Han, Jungyu Kang, Yongwoo Jo, Dongjin Lee, Jeongdan Choi

{"title":"Robust Ego-motion Estimation and Map Matching Technique for Autonomous Vehicle Localization with High Definition Digital Map","authors":"Seung-Jun Han, Jungyu Kang, Yongwoo Jo, Dongjin Lee, Jeongdan Choi","doi":"10.1109/ICTC.2018.8539518","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539518","url":null,"abstract":"One of the essential technologies required for environmental recognition of an autonomous vehicle is a localization technique that recognizes the position and orientation of the vehicle. In contrast to previous localization techniques that generate map data from sensor data itself, there is an increasing number of studies using high definition (HD) digital maps. The map-based localization technology consists of predicting the position of the next step through the ego-motion of the vehicle and determining the position through map matching. In this paper, we propose a robust ego-motion estimation and map matching technology for robust vehicle localization. First, we propose a visual odometry (VO) model for robust ego-motion estimation and a vehicle planar motion model based on in-vehicle sensors to improve the robustness of VO in the absence of image features. We also introduce a new line segmentation matching model and a geometric correction method of extracted road marking from an inverse perspective mapping (IPM) for robust map matching techniques. The technology proposed in this paper has been verified in various ways through real autonomous vehicles and successfully acquired the autonomous driving license of the Republic of Korea.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130077930","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: 13

Enabling Communication Technologies for Automated Unmanned Vehicles in Industry 4.0 为工业4.0中的自动无人驾驶车辆启用通信技术

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539695

Amina Fellan, Christian Schellenberger, Marc Zimmermann, H. Schotten

引用次数: 23

Antenna Element Pattern Estimation based on Array Beam Pattern 基于阵列波束方向图的天线单元方向图估计

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539498

Lakju Sung, Sangmi Noh, D. Cho

引用次数: 0

An approach on a combination of higher-order statistics and higher-order differential energy operator for detecting pathological voice with machine learning 结合高阶统计量和高阶微分能量算子的机器学习病理语音检测方法

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539495

Jihye Moon, Sanghun Kim

{"title":"An approach on a combination of higher-order statistics and higher-order differential energy operator for detecting pathological voice with machine learning","authors":"Jihye Moon, Sanghun Kim","doi":"10.1109/ICTC.2018.8539495","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539495","url":null,"abstract":"Voice signal is an indicator finding a progression of diseases such as nerve disorder and muscle dysfunction. To improve the performance of medical diagnosis system using the voice signal, this paper suggests a new feature extraction method which combines higher-order statistics (HOS) and higher-order differential energy operator (DEO). For the experiment, Saarbruecken Voice Database (SVD) was used, and 687 healthy voice samples and 263 pathological voice samples which consist of Cysts, Paralysis, and Polyp were selected. In addition, the OpenSmile script which provides 6,373 features was used for comparison with our new features. To decide the most effective features, Gradient Boosting was conducted as a feature selector. Finally, 20 features including 15 combinations of HOS and DEO were chosen, and deep neural network(DNN) was trained using the new features. The best accuracy of 87.4% was obtained, which exceeds the best accuracy of 84.5% with the existing features. The finding suggests a possibility that the pathological voice can be efficiently detected with only statistical information without heavy computations such as convolutional neural networks. Due to the simple structure, we expect this approach will be easily applied to a variety of mobile systems.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"368 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115984437","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

Classification of Malicious Traffic Using TensorFlow Machine Learning 基于TensorFlow机器学习的恶意流量分类

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539685

Li-Der Chou, Chia-Wei Tseng, Meng-Sheng Lai, Wei-Yu Chen, Kuo-Chung Chen, Chia-Kuan Yen, Tsung-Fu Ou, Wei-Hsiang Tsai, Yi-Hsuan Chiu

引用次数: 6

An Efficient Topology Refining Scheme for Apache Flink 一种高效的Apache Flink拓扑优化方案

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539696

Muhammad Hanif, Choonhwa Lee

引用次数: 2

Application of TCP Multi-Pathization Method with SDN by IoT Devices to Web Service 物联网设备基于SDN的TCP多路径方法在Web服务中的应用

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539508

Yuki Yoshida, Yoshihiro Ito

引用次数: 0

Similarity Hash Index 相似性哈希索引

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539650

Sunoh Choi, Youngsoo Kim, Jonghyun Kim

引用次数: 1