2018 International Conference on Information and Communication Technology Convergence (ICTC)最新文献_第10页

Spectral asymmetry of EEG signals in transition from conscious to unconscious state 脑电信号从意识状态到无意识状态转换的频谱不对称性

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539628

Seong-Ho Park, I. Jung, Hyun-Chool Shin

引用次数: 0

Analysis of Dual Connectivity Gain in Terms of Delay and Throughput 从延迟和吞吐量的角度分析双连接增益

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539635

Seongjoon Kang, S. Bahk

引用次数: 2

Beam Synthesis under Feasible Scenarios for Radar and Communications Combined Systems 雷达与通信组合系统可行方案下的波束合成

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539682

Hyeon-Jae Noh, Jungeun Lee, H. Yang

引用次数: 1

3D Beamforming for 5G Millimeter Wave Systems Using Singular Value Decomposition and Particle Swarm Optimization Approaches 基于奇异值分解和粒子群优化方法的5G毫米波系统三维波束形成

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539578

Osama Alluhaibi, Manish Nair, Amjed Hazzaa, Aza Mihbarey, Jiangzhou Wang

{"title":"3D Beamforming for 5G Millimeter Wave Systems Using Singular Value Decomposition and Particle Swarm Optimization Approaches","authors":"Osama Alluhaibi, Manish Nair, Amjed Hazzaa, Aza Mihbarey, Jiangzhou Wang","doi":"10.1109/ICTC.2018.8539578","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539578","url":null,"abstract":"Millimeter wave (mmWave) systems are one of the proposed solutions for the fifth generation (5G) mobile network. However, mmWave system experiences strong path loss due to higher frequencies. To solve this problem, such a system demands a narrow beampattern to reduce the loss of the mmWave signal energy due to the high path loss. One of the significant challenges to be addressed before their deployment is designing three dimensional (3D) beamforming algorithms, which are required to be directional. In this paper, we first propose two 3D beamforming algorithms with aim of tracking users in both the azimuth and elevation planes. Our proposed beamforming algorithms operates based on the principles of singular value decomposition (SVD) and particle swarm optimization (PSO). Furthermore, these beam-forming algorithms are designed to have limited or negligible side lobes, which cause less interference to the other users operating in the same cell. In order to achieve this objective, Kaiser Bessel (KB) filter is adopted which helps in mitigating side lobes in the synthesized beampattern. Based on our analysis, we gain some valuable insights. The proposed algorithms are shown to perform well in achieving considerable capacity and lower side lobs.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"42 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":"131165710","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

A Positioning Accuracy Enhancement Method Based on Inter-Vehicular Communication and Self-Organizing Map 基于车际通信和自组织地图的定位精度提高方法

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539580

Shengjie Ma, Hyukjoon Lee, Hong Cheng

引用次数: 3

Two component data representation using piecewise approximation and specific points for IoT 使用分段逼近和物联网特定点的两分量数据表示

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539506

Hyunjae Park, Young-June Choi

引用次数: 0

Bayesian Deep Learning-based Confidence-aware Solar Irradiance Forecasting System 基于贝叶斯深度学习的自信感知太阳辐照度预测系统

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539601

HyunYong Lee, Byung-Tak Lee

{"title":"Bayesian Deep Learning-based Confidence-aware Solar Irradiance Forecasting System","authors":"HyunYong Lee, Byung-Tak Lee","doi":"10.1109/ICTC.2018.8539601","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539601","url":null,"abstract":"For stable and successful use of grid-connected PV (photovoltaic) plants, it is quite necessary to know the expected power from PV plants in advance. However, forecasting PV output power accurately is difficult in practical cases where uncertainties are unavoidable. In this paper, we propose a confidence-aware forecasting system that produces a point forecast together with its confidence information. Our system classifies forecast outputs into confident forecasts and non-confident forecasts using the confidence information. Then, the confident forecast is used directly and the non-confident forecast is replaced by its lower bound, which is desirable for conservative scheduling of existing power plants. Through the experiments, we show that MAPE (maximum absolute percentage error) of the confident forecasts and the non-confident forecasts are 9.8% and 21.5%, respectively. We also show that the lower bound is lower than actual value in over 95% of the non-confident forecasts. The results show that our approach is good to classify forecasts into confident forecasts and non-confident forecasts and to produce effective lower bounds.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"77 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":"128399783","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

A Study on the ATSC 3.0 Service Following ATSC 3.0服务跟踪研究

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539515

Bongho Lee, Kyutae Yang, Sung-Ik Park, H. Kim, Soonchoul Kim

引用次数: 2

Soft assignment and multiple keypoint analysis-based pedestrian counting method 基于软分配和多关键点分析的行人计数方法

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539499

C. Jeong, Mooseop Kim, Hyung-Cheol Shin

{"title":"Soft assignment and multiple keypoint analysis-based pedestrian counting method","authors":"C. Jeong, Mooseop Kim, Hyung-Cheol Shin","doi":"10.1109/ICTC.2018.8539499","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539499","url":null,"abstract":"Pedestrian counting in videos is an active computer vision research topic that has wide ranging application. Existing pedestrian counting methods predominantly use features extracted from the foreground following subtraction of the background. However, accurately locating the foreground in real environments is difficult, and background subtraction is computationally expensive. The keypoint approach, which counts pedestrians without background subtraction, is limited owing to lack of sufficient features and no consideration for stationary pedestrians. This letter proposes an accurate keypoint-based pedestrian counting method. As no single keypoint detector can yield optimal counting results under all conditions, such as image resolution, frame rate, and illumination, we combine complementary keypoint detectors to enrich the features and thereby enhance pedestrian counting results. In addition, the proposed method considers stationary pedestrians by analyzing static keypoints information. Information loss during vector quantization is also reduced by applying soft assignment during feature extraction. The results of experiments conducted on public databases indicate that the proposed method outperforms the state-of-the-art methods on realistic outdoor and indoor public datasets.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"60 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":"134364384","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

Scheduling for Machine Type Communications in LTE Systems LTE系统中机器类型通信的调度

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI: 10.1109/ICTC.2018.8539375

Yared Zerihun Bekele, Young-June Choi

引用次数: 1