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2020 International Conference on Information and Communication Technology Convergence (ICTC)最新文献

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Design of a Multi-device Backscatter Communication System with a Multi-Antenna Reader 带多天线读写器的多设备反向散射通信系统设计
2020 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2020-10-21 DOI: 10.1109/ICTC49870.2020.9289415
Moldir Yerzhanova, Y. Kim
{"title":"Design of a Multi-device Backscatter Communication System with a Multi-Antenna Reader","authors":"Moldir Yerzhanova, Y. Kim","doi":"10.1109/ICTC49870.2020.9289415","DOIUrl":"https://doi.org/10.1109/ICTC49870.2020.9289415","url":null,"abstract":"This paper considers a mono-static backscatter communication system with a multi-antenna reader and multiple devices for ultra-low power intemet-of-things. For the system, we present some practical issues to support multiple devices in space division multiple access via coherent detection. We design a frame structure with channel estimation and multiple access phases. The linear channel estimates of the backscatter channels with orthogonal pilots are derived and the effect of the channel estimation errors on the coherent detection are investigated through simulation. The results show that the minimum mean square error estimates improve the detection performance slightly compared to the least square estimate due to a structure of the backscatter channels.","PeriodicalId":282243,"journal":{"name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130095884","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
Double Deep Q-Learning Based Channel Estimation for Industrial Wireless Networks 基于双深度q学习的工业无线网络信道估计
2020 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2020-10-21 DOI: 10.1109/ICTC49870.2020.9289263
Sanjay Bhardwaj, Jae-Min Lee, Dong-Seong Kim
{"title":"Double Deep Q-Learning Based Channel Estimation for Industrial Wireless Networks","authors":"Sanjay Bhardwaj, Jae-Min Lee, Dong-Seong Kim","doi":"10.1109/ICTC49870.2020.9289263","DOIUrl":"https://doi.org/10.1109/ICTC49870.2020.9289263","url":null,"abstract":"Double deep Q-learning (DDQL) algorithm for channel estimation for industrial wireless networks is proposed. Mean square error (MSE) and bit error rate (BER) as two key metrics are considered to evaluate the performance of the proposed scheme for channel estimation in modified Rician and Rayleigh channels. The estimation error (MSE) shows that the proposed algorithm is comparable to minimum mean square error (MMSE) and has better performance than approximated linear MMSE (ALMMSE). The simulation results demonstrates and further compounds that for number of pilot carriers and BER, the proposed algorithm is robust and efficient than conventional algorithms that are used for channel estimation.","PeriodicalId":282243,"journal":{"name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130629958","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
Collision Resolution Algorithm for Multi-user NOMA Random Access Systems 多用户NOMA随机接入系统的冲突解决算法
2020 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2020-10-21 DOI: 10.1109/ICTC49870.2020.9289202
Gao Zhanyang, Hu Jin
{"title":"Collision Resolution Algorithm for Multi-user NOMA Random Access Systems","authors":"Gao Zhanyang, Hu Jin","doi":"10.1109/ICTC49870.2020.9289202","DOIUrl":"https://doi.org/10.1109/ICTC49870.2020.9289202","url":null,"abstract":"This paper considers the collision resolution algorithm when multiple packets transmit simultaneously in each slot in a non-orthogonal multiple access (NOMA) systems. Packets are divided into two groups and two different received powers can be selected. Packets in each group can select one power level as their received power. As more than one packet may transmit in a time slot in each group, collision will happen and throughput may decrease at the same time. We introduce the collision resolution period (CRP) algorithm and the collided packets will transmit in the CRP. By controlling the transmission probability in each group, we can make a big different comparing to the system without a CRP. This paper will show the optimal transmission probability and the maximum throughput. Numerical results show that our proposed algorithm yields the maximum throughput of 0.6489.","PeriodicalId":282243,"journal":{"name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132050120","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: 1
MFCW Radar’s Range and Velocity Estimation using Local Polynomial Approximation Based Function 基于局部多项式逼近函数的MFCW雷达距离和速度估计
2020 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2020-10-21 DOI: 10.1109/ICTC49870.2020.9289208
Chungho Ryu, J. Chun, Chungyong Lee
{"title":"MFCW Radar’s Range and Velocity Estimation using Local Polynomial Approximation Based Function","authors":"Chungho Ryu, J. Chun, Chungyong Lee","doi":"10.1109/ICTC49870.2020.9289208","DOIUrl":"https://doi.org/10.1109/ICTC49870.2020.9289208","url":null,"abstract":"Multi-frequency continuous waveform (MFCW) radar transmits a set of CW waveforms with different frequencies, which increase in a stepwise manner. This type of radar usually employs the spectrogram analysis of the baseband received echo signal, and therefore is capable of detecting and resolving two targets with different velocities but at the same range. However, this spectrogram approach renders difficulties in resolving two targets with the same velocity but at different ranges. We propose a new method that solves this problem by enabling the MFCW radar to estimate the velocity and range simultaneously using the local polynomial approximation (LPA). Namely, the range of a moving target is expanded using the Taylor series, attaining up to the second order terms, and the two Taylor coefficients, i.e., the range and velocities are estimated by the grid search. Simulation results show that the proposed LPA-based algorithm is able to resolve multiple targets with the same velocity satisfactorily.","PeriodicalId":282243,"journal":{"name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132171595","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: 1
High-resolution bridge displacement monitoring using Time-seriesPS- InSAR technique 基于时序ps - InSAR技术的高分辨率桥梁位移监测
2020 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2020-10-21 DOI: 10.1109/ICTC49870.2020.9289555
S. K. P. Vadivel, Duk‐jin Kim
{"title":"High-resolution bridge displacement monitoring using Time-seriesPS- InSAR technique","authors":"S. K. P. Vadivel, Duk‐jin Kim","doi":"10.1109/ICTC49870.2020.9289555","DOIUrl":"https://doi.org/10.1109/ICTC49870.2020.9289555","url":null,"abstract":"Assessment of bridge deflection and serviceability is essential for structural condition and infrastructure maintenance. In this study, we aim to estimate the high-resolution displacements of bridges using X-band Cosmo-SkyMed and C-band Sentinel-1 A/B SAR data. We applied multi-temporal Interferometric analysis to Geobuksan bridge and Dolsan Bridge in the Yeosu region. In addition to the bridge displacements, the geolocation error of scatterers were corrected by estimating DEM error.","PeriodicalId":282243,"journal":{"name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127917433","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
A Study on Energy-Process-Latency Tradeoff in Embedded Artificial Intelligence 嵌入式人工智能中能量-过程-延迟权衡的研究
2020 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2020-10-21 DOI: 10.1109/ICTC49870.2020.9289270
Jinhwi Kim, Apostolos Galanopoulos, J. Joseph, Jeongho Kwak
{"title":"A Study on Energy-Process-Latency Tradeoff in Embedded Artificial Intelligence","authors":"Jinhwi Kim, Apostolos Galanopoulos, J. Joseph, Jeongho Kwak","doi":"10.1109/ICTC49870.2020.9289270","DOIUrl":"https://doi.org/10.1109/ICTC49870.2020.9289270","url":null,"abstract":"In this paper, we explore an impact of GPU/CPU scaling of a state-of-the-art AI embedded device on its energy consumption and AI performance. We use Nvidia Jetson TX2 as an experiment device thanks to its tractability to scale GPU/CPU and modify AI framework and libraries. Via extensive experiment in various ML (Machine Learning) scenarios, i.e., face recognition and objective detection, we demonstrate a clear tradeoff between GPU/CPU scaling, energy consumption (of GPU/CPU as well as entire device) and training/inference speed. Finally, we envision a future work aiming to optimize processing and networking resources simultaneously at an extended scenario that multiple AI embedded devices cooperate with each other for a common AI application.","PeriodicalId":282243,"journal":{"name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131677387","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
Semi-Automatic SAR Image Land Cover Labeling Pipeline 半自动SAR图像土地覆盖标注管道
2020 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2020-10-21 DOI: 10.1109/ICTC49870.2020.9289591
Jaewon Lee, Dalwon Jang, Jong-Seol Lee
{"title":"Semi-Automatic SAR Image Land Cover Labeling Pipeline","authors":"Jaewon Lee, Dalwon Jang, Jong-Seol Lee","doi":"10.1109/ICTC49870.2020.9289591","DOIUrl":"https://doi.org/10.1109/ICTC49870.2020.9289591","url":null,"abstract":"This paper deals with the semi-automatic SAR(Synthetic Aperture Radar) image land-cover labeling system. The term semi-automatic refers to a sequential process in which the input SAR image is automatically labeled through the GPS information and the open API provided by the nation, and the user can manually modify the labeling information with the annotation tool. Since there may be some differences from the actual land information, the label is finally corrected by manually modifying it with annotation tool. The semi-automatic labeling system proposed in this paper is made to label water/forest/farmland/building by using SAR image and latitude/longitude information as input, but it can also be used to develop a land-related image analysis system with different purposes. The entire pipeline system is tested with the Sentinel-1A(S1A) image, and found that it works well in an acceptable range.","PeriodicalId":282243,"journal":{"name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131719346","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
Champion Recommendation System of League of Legends 英雄联盟的冠军推荐系统
2020 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2020-10-21 DOI: 10.1109/ICTC49870.2020.9289546
Seung-Jin Hong, Sang-Kwang Lee, Seong-il Yang
{"title":"Champion Recommendation System of League of Legends","authors":"Seung-Jin Hong, Sang-Kwang Lee, Seong-il Yang","doi":"10.1109/ICTC49870.2020.9289546","DOIUrl":"https://doi.org/10.1109/ICTC49870.2020.9289546","url":null,"abstract":"The multiplayer online battle arena (MOBA) game genre is one of the most popular game genres in the world. One of the MOBA games, League of Legends (LoL), is popular with game players, and professional leagues have been created worldwide. LoL has the ban and pick system to ban or pick champions before the game starts. This system affects the outcome of the game, which is even more important in the professional leagues. In this paper, we present a champion recommendation system of LoL. Recommendations are conducted sequentially in the same manner as in the ban and pick system. To address this challenge, we collect professional matches to create the ban and pick dataset and use the data to train two models for both teams. Experimental results show that the neural network classifier performs better than the random forest classifier. In addition, we explain the reason that the performances of the two models are different by separately analyzing the sequences.","PeriodicalId":282243,"journal":{"name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131756114","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
A Machine Learning Framework for Prevention of Software-Defined Networking controller from DDoS Attacks and dimensionality reduction of big data 一种防止软件定义网络控制器遭受DDoS攻击和大数据降维的机器学习框架
2020 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2020-10-21 DOI: 10.1109/ICTC49870.2020.9289504
Jehad Ali, B. Roh, Byungkyu Lee, Jimyung Oh, M. Adil
{"title":"A Machine Learning Framework for Prevention of Software-Defined Networking controller from DDoS Attacks and dimensionality reduction of big data","authors":"Jehad Ali, B. Roh, Byungkyu Lee, Jimyung Oh, M. Adil","doi":"10.1109/ICTC49870.2020.9289504","DOIUrl":"https://doi.org/10.1109/ICTC49870.2020.9289504","url":null,"abstract":"The controller is an indispensable entity in software-defined networking (SDN), as it maintains a global view of the underlying network. However, if the controller fails to respond to the network due to a distributed denial of service (DDoS) attacks. Then, the attacker takes charge of the whole network via launching a spoof controller and can also modify the flow tables. Hence, faster, and accurate detection of DDoS attacks against the controller will make the SDN reliable and secure. Moreover, the Internet traffic is drastically increasing due to unprecedented growth of connected devices. Consequently, the processing of large number of requests cause a performance bottleneck regarding SDN controller. In this paper, we propose a hierarchical control plane SDN architecture for multi-domain communication that uses a statistical method called principal component analysis (PCA) to reduce the dimensionality of the big data traffic and the support vector machine (SVM) classifier is employed to detect a DDoS attack. SVM has high accuracy and less false positive rate while the PCA filters attribute drastically. Consequently, the performance of classification and accuracy is improved while the false positive rate is reduced.","PeriodicalId":282243,"journal":{"name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"9 45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123314563","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
Delay-aware TDMA Scheduling with Deep Reinforcement Learning in Tactical MANET 战术自组网中基于深度强化学习的延迟感知TDMA调度
2020 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2020-10-21 DOI: 10.1109/ICTC49870.2020.9289080
Gwan-sik Wi, Sunghwa Son, Kyung-Joon Park
{"title":"Delay-aware TDMA Scheduling with Deep Reinforcement Learning in Tactical MANET","authors":"Gwan-sik Wi, Sunghwa Son, Kyung-Joon Park","doi":"10.1109/ICTC49870.2020.9289080","DOIUrl":"https://doi.org/10.1109/ICTC49870.2020.9289080","url":null,"abstract":"In tactical networks, traffic should be delivered in a timely manner satisfying the quality of service (QoS) requirements for survivability and mission success. In this paper, we propose a centralized TDMA slot scheduling based on deep reinforcement learning (DRL) to guarantee the QoS requirements by minimizing end-to-end delay. We consider situations in which mission criticality of tactical traffic is dynamically changing. We introduce a DRL actor-critic algorithm to find a TDMA scheduling policy to minimize the weighted end-to-end delay which is a new metric reflecting the mission criticality of tactical traffic. The simulation results verify that the proposed scheduling policy can guarantee QoS requirements in tactical networks.","PeriodicalId":282243,"journal":{"name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123385303","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
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