2018 International Conference on Information and Communication Technology Convergence (ICTC)最新文献

Personal Sensory VR interface Utilizing Wearable Technology 利用可穿戴技术的个人感官VR界面

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539405

Jiyoung Kang, Junhee Lee, Seungyeon Jin

引用次数: 2

IoTivity-Lite: Comprehensive IoT Solution In A Constrained Memory Device ioactivity - lite:受限内存设备中的全面物联网解决方案

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539598

Jaehong Jo, Jaehyun Cho, Rami Jung, Hanna Cha

引用次数: 4

Mitigating Journaling Overhead via Atomic Write 通过原子写减少日志开销

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539701

M. Oh, Yongjae Choi, Jongmoo Choi

引用次数: 0

Individual Stable Driving Pattern Analysis for Evaluating Driver Readiness at Autonomous Driving Levels 2 and 3 基于2级和3级自动驾驶驾驶员准备度评估的个体稳定驾驶模式分析

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539722

Min-Seok Lee, Jinhyeok Park, Y. Jang, Woojin Kim, Daesub Yoon

{"title":"Individual Stable Driving Pattern Analysis for Evaluating Driver Readiness at Autonomous Driving Levels 2 and 3","authors":"Min-Seok Lee, Jinhyeok Park, Y. Jang, Woojin Kim, Daesub Yoon","doi":"10.1109/ICTC.2018.8539722","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539722","url":null,"abstract":"Autonomous vehicles have recently attracted considerable attention as a new type of transportation system that can improve convenience and quality of life. However, current versions of autonomous vehicles still require human intervention in specific situations, and in certain situations the driving mode must be switched from autonomous to manual. It is difficult to determine whether driver readiness is perfect at the moment at which the driving mode is switched because of a lack of concentration and tension. A certain amount of time is required to recover a stable driving state after taking over the controls. A stable driving pattern differs by driver, so it is important to identify and classify individual patterns to determine the time of take-over request (TOR). In this study, we attempt to measure the similarities among individual driving patterns and propose a classification model for the stable driving patterns of individuals. We first applied hierarchical clustering based on dynamic time warping and bag-of-patterns to confirm that the driver has his or her own driving pattern. We then improve the accuracy of driver classification for each driving event and implement a real-time application using the long-short-term memory methodology. We show that the classifier has relatively good performance for driving event section data, particularly for sudden stops and congestion events.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"534 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":"116990345","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

Edge-based Error Concealment for Line Compression Methods 基于边缘的线压缩错误隐藏方法

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539662

Ho-Young Kim, Seong-Won Lee

引用次数: 0

Segmentation and Reconstruction of 3D Models from a Point Cloud with Deep Neural Networks 基于深度神经网络的点云三维模型分割与重建

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539500

Jurij Slabanja, Blaž Meden, P. Peer, A. Jaklič, F. Solina

{"title":"Segmentation and Reconstruction of 3D Models from a Point Cloud with Deep Neural Networks","authors":"Jurij Slabanja, Blaž Meden, P. Peer, A. Jaklič, F. Solina","doi":"10.1109/ICTC.2018.8539500","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539500","url":null,"abstract":"The need to model visual information with compact representations has existed since the early days of computer vision. We implemented in the past a segmentation and model recovery method for range images which is unfortunately too slow for current size of 3D point clouds and type of applications. Recently, neural networks have become the popular choice for quick and effective processing of visual data. In this article we demonstrate that with a convolutional neural network we could achieve comparable results, that is to determine and model all objects in a given 3D point cloud scene. We started off with a simple architecture that could predict the parameters of a single object in a scene. Then we expanded it with an architecture similar to Faster R-CNN, that could predict the parameters for any number of objects in a scene. The results of the initial neural network were satisfactory. The second network, that performed also segmentation, still gave decent results comparable to the original method, but compared to the initial one, performed somewhat worse. Results, however, are encouraging but further experiments are needed to build CNNs that will be able to replace the state-of-the-art method.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"48 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":"117338354","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

Optimization of the effect of radiation on ASIC chip through detector 通过探测器优化辐射对ASIC芯片的影响

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539458

Hojong Chang, B. Han, G. Cho, Yongho Kim, Woosook Jeon, Hyunduk Kim

引用次数: 0

On Fronthaul Compression and Transmission Strategies for Utility Maximization in C-RAN C-RAN中效用最大化的前传压缩与传输策略研究

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539348

Zhenjun Dong, Jian Zhao

引用次数: 0

3-D Modeling and Analysis of Blockage Effects on the Performance of Urban Wireless Communication Systems 阻塞对城市无线通信系统性能影响的三维建模与分析

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539525

Soumaya Bachtobji, K. Hassan, A. Omri, K. Raoof, R. Bouallègue

引用次数: 4

The Effect of Pulse Signal Waveform on Bandwidth in Pulse Radar System 脉冲雷达系统中脉冲信号波形对带宽的影响

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539350

Min-Soo Kang, Bong-Su Kim, H. J. Kim

引用次数: 1