2022 27th Asia Pacific Conference on Communications (APCC)最新文献_第8页

Network Slice Admission Control and Resource Allocation in LEO Satellite Networks: A Robust Optimization Approach 低轨道卫星网络中网络片准入控制与资源分配:一种鲁棒优化方法

2022 27th Asia Pacific Conference on Communications (APCC) Pub Date : 2022-10-19 DOI: 10.1109/APCC55198.2022.9943670

Yaofu Bai, C. Liang, Qianbin Chen

引用次数: 1

Improvement of Bandwidth Fairness between TCP BBRv2 and CUBIC TCP BBRv2和CUBIC之间带宽公平性的改进

2022 27th Asia Pacific Conference on Communications (APCC) Pub Date : 2022-10-19 DOI: 10.1109/APCC55198.2022.9943682

Hyo-Seop Cho, Geon-Hwan Kim, You-Ze Cho

引用次数: 0

On Design Concept of Cellular Distributed MU-MIMO for Ultra-dense RAN 超密集无线局域网中蜂窝分布式MU-MIMO的设计思想

2022 27th Asia Pacific Conference on Communications (APCC) Pub Date : 2022-10-19 DOI: 10.1109/APCC55198.2022.9943686

F. Adachi, Ryo Takahashi, Hidenori Matsuo, Sijie Xia, Chang Ge, Qiang Chen

引用次数: 0

MIMO Visible Light Communication System MIMO可见光通信系统

2022 27th Asia Pacific Conference on Communications (APCC) Pub Date : 2022-10-19 DOI: 10.1109/APCC55198.2022.9943591

M. Sliti

引用次数: 0

2x2 Array Design of ESPAR Antenna for IoT Communication System 面向物联网通信系统的ESPAR天线2x2阵列设计

2022 27th Asia Pacific Conference on Communications (APCC) Pub Date : 2022-10-19 DOI: 10.1109/APCC55198.2022.9943711

M. Rahman, H. Ryu

引用次数: 1

Microwave Imaging: CPW Fed Microstrip Patch Antenna with Defected Ground Plane Operating in ISM Band for Breast Tumor Detection 微波成像:带缺陷地平面的CPW馈电微带贴片天线在ISM波段工作用于乳腺肿瘤检测

2022 27th Asia Pacific Conference on Communications (APCC) Pub Date : 2022-10-19 DOI: 10.1109/APCC55198.2022.9943698

Golap Kanti Dey, Tasfia Nuzhat, Kumar Priam Das, Fariha Ali

引用次数: 1

Point Cloud Map Generation and Localization for Autonomous Vehicles Using 3D Lidar Scans 使用3D激光雷达扫描自动驾驶汽车的点云地图生成和定位

2022 27th Asia Pacific Conference on Communications (APCC) Pub Date : 2022-10-19 DOI: 10.1109/APCC55198.2022.9943630

Alwin Poulose, Minjin Baek, Dong Seog Han

{"title":"Point Cloud Map Generation and Localization for Autonomous Vehicles Using 3D Lidar Scans","authors":"Alwin Poulose, Minjin Baek, Dong Seog Han","doi":"10.1109/APCC55198.2022.9943630","DOIUrl":"https://doi.org/10.1109/APCC55198.2022.9943630","url":null,"abstract":"Autonomous vehicles are the future intelligent vehicles, which are expected to reduce the number of human drivers, improve efficiency, avoid collisions, and become the ideal city vehicles of the future. To achieve this goal, vehicle manufacturers have started to work in this field to harness the potential and solve current challenges to achieve the desired results. In this sense, the first challenge is transforming conventional vehicles into autonomous ones that meet users’ expectations. The evolution of conventional vehicles into autonomous vehicles includes the adoption and improvement of different technologies and computer algorithms. The essential task affecting the autonomous vehicle’s performance is its localization, apart from perception, path planning, and control, and the accuracy and efficiency of localization play a crucial role in autonomous driving. In this paper, we describe the implementation of map-based localization using point cloud matching for autonomous vehicles. The Robot Operating System (ROS) along with Autoware, which is an open-source software platform for autonomous vehicles, are utilized for the implementation of the vehicle localization system presented in this paper. Point cloud maps are generated based on 3D lidar points, and a normal distributions transform (NDT) matching algorithm is used for localizing the test vehicle through matching real-time lidar measurements with the pre-built point cloud maps. The experiment results show that the map-based localization system using 3D lidar scans enables real-time localization performance that is sufficiently accurate and efficient for autonomous driving in a campus environment. The paper comprises the methods used for point cloud map generation and vehicle localization as well as the step-by-step procedure for the implementation with a ROS-based system for the purpose of autonomous driving.","PeriodicalId":403546,"journal":{"name":"2022 27th Asia Pacific Conference on Communications (APCC)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122864805","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

Compact SIW-based Feeding Network for S-band Monopulse Antenna 基于siw的s波段单脉冲天线馈电网络

2022 27th Asia Pacific Conference on Communications (APCC) Pub Date : 2022-10-19 DOI: 10.1109/APCC55198.2022.9943738

Shita Fitria Nuijihan, A. Munir

{"title":"Compact SIW-based Feeding Network for S-band Monopulse Antenna","authors":"Shita Fitria Nuijihan, A. Munir","doi":"10.1109/APCC55198.2022.9943738","DOIUrl":"https://doi.org/10.1109/APCC55198.2022.9943738","url":null,"abstract":"One of the key components in tracking system is the antenna. Monopulse antennas frequently used in tracking system provide high accuracy and efficiency in determining the range and position of the target due to the utilization of two beams, namely, sum and difference. A hybrid junction is one type of four-port network coupler widely applied in feeding networks for providing sum and diff channels. This paper deals with the development of substrate integrated waveguide (SIW) based feeding network for S-band monopulse antenna. The use of SIW aims to overcome the bulky structure of the conventional metallic waveguide and the complex integration in a finite space. The proposed SIW-based feeding network which operates at S-band frequency is implemented using a 1.524 mm thin Rogers RO-4003C dielectric substrate. The characterization result shows that the SIW-based feeding network can achieve less than –10 dB isolation, with insertion loss about –3.99 dB, return loss less than –10 dB, and phase difference around 180°. The close match between the results enables the proposed SIW-based feeding network to be applied for the desired application in tracking system.","PeriodicalId":403546,"journal":{"name":"2022 27th Asia Pacific Conference on Communications (APCC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124855528","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

The Reliable Routing of the Air-Ground Integrated Network based on Kalman Filter Prediction 基于卡尔曼滤波预测的地空综合网络可靠路由

2022 27th Asia Pacific Conference on Communications (APCC) Pub Date : 2022-10-19 DOI: 10.1109/APCC55198.2022.9943648

Zhimin Zhang, Fei Qin

引用次数: 0

Speech Emotion Recognition using Context-Aware Dilated Convolution Network 基于上下文感知扩展卷积网络的语音情感识别

2022 27th Asia Pacific Conference on Communications (APCC) Pub Date : 2022-10-19 DOI: 10.1109/APCC55198.2022.9943771

Samuel Kakuba, Dong Seog Han

{"title":"Speech Emotion Recognition using Context-Aware Dilated Convolution Network","authors":"Samuel Kakuba, Dong Seog Han","doi":"10.1109/APCC55198.2022.9943771","DOIUrl":"https://doi.org/10.1109/APCC55198.2022.9943771","url":null,"abstract":"Deep learning-based speech emotion recognition has been applied for social living assistance, health monitoring, authentication, and other human-to-machine interaction applications. Because of the ubiquitous nature of the applications, computationally efficient and robust speech emotion recognition models are required. The nature of the speech signal requires tracking of time steps, analyzing long-term dependencies and the contexts of the utterances as well as the spatial cues. Recurrent neural networks like long short-term memory and gated recurrent units coupled with attention mechanisms are often used to consider long-term dependencies and context in the speech signal. However, they do not take care of the spatial cues that may exist in the speech signal. Moreover, the operation of most of these systems is sequential which causes slow convergence, and sluggish training. Therefore, we propose a model that employs dilated convolutions layers in combination with hybrid attention mechanisms. The model uses multi-head attention to extract the global context in the feature representations which are fed into the bidirectional long short-term memory configured with self-attention to further handle the context and long-term dependencies. The model uses spectral and voice quality features extracted from the raw speech signals as input. The proposed model achieves comparable performance in terms of F1 score and accuracy. The proposed model’s performance is also presented in terms of confusion matrices.","PeriodicalId":403546,"journal":{"name":"2022 27th Asia Pacific Conference on Communications (APCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129770066","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