2018 Global Wireless Summit (GWS)最新文献_第6页

Smart Wireless Communication System for Traffic Management and Localization 交通管理与定位的智能无线通信系统

2018 Global Wireless Summit (GWS) Pub Date : 2018-11-01 DOI: 10.1109/GWS.2018.8686652

Jetendra Joshi, Nishchay Grover, P. Medikonda, Vinod Gujral

引用次数: 1

3D Channel Spatial Characteristic Emulation in Multi-Probe Anechoic Chamber Setups 多探头消声室三维通道空间特性仿真

2018 Global Wireless Summit (GWS) Pub Date : 2018-11-01 DOI: 10.1109/GWS.2018.8686720

Ruru Wang, Weimin Wang, Yongle Wu, Yuan’an Liu, Bojun Zhang

{"title":"3D Channel Spatial Characteristic Emulation in Multi-Probe Anechoic Chamber Setups","authors":"Ruru Wang, Weimin Wang, Yongle Wu, Yuan’an Liu, Bojun Zhang","doi":"10.1109/GWS.2018.8686720","DOIUrl":"https://doi.org/10.1109/GWS.2018.8686720","url":null,"abstract":"This paper provides the emulated channel transfer functions for the plane wave synthesis (PWS) and the prefaded signals synthesis (PFS) in 3D multi-probe anechoic chamber (MPAC) setups. Furthermore, the emulated spatial correlation functions (SCFs) for the two methods are deduced according to the respective channel transfer functions. The expressions derived in this paper are applicable for any spherical power spectrum. The target channel model utilized in this paper is 3D geometry-based stochastic channel models. The accuracies of the 3D emulated channel models with PWS and PFS in terms of the root mean square (rms) of the SCF error under different 3D channel settings are investigated. Some new conclusions about the two methods are obtained. Simulation results demonstrate that PWS proceeds PFS for most channel settings in 3D MPAC setups. Especially when the mean zenith angle of arrival of the cluster is not from the horizontal plane, PWS provides more accurate results. In addition, the relationship between the emulation accuracy and the zenith angle spread of arrival of the cluster is different from that between the emulation accuracy and the azimuth angle spread of arrival of the cluster.","PeriodicalId":256742,"journal":{"name":"2018 Global Wireless Summit (GWS)","volume":"252 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114014670","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

Learner Classification Method for Senior Learning with Decision Tree: A Case Study of Thai Senior 基于决策树的老年人学习学习者分类方法——以泰国老年人为例

2018 Global Wireless Summit (GWS) Pub Date : 2018-11-01 DOI: 10.1109/GWS.2018.8686498

Kanchana Boontasri, P. Temdee

{"title":"Learner Classification Method for Senior Learning with Decision Tree: A Case Study of Thai Senior","authors":"Kanchana Boontasri, P. Temdee","doi":"10.1109/GWS.2018.8686498","DOIUrl":"https://doi.org/10.1109/GWS.2018.8686498","url":null,"abstract":"The Andragogy theory has been suggested that the learning of the senior is different from the child. A senior has more experiences, self-understanding, precise achievement, and advantage in daily life. However, age increasing hurts learning performance. Besides the age factor, other factors can be considered such as gender, education level, internet usage time, health problems, vision problems, hearing loss, memory loss, and congenital disease. Therefore, this study proposes the machine learning-based method for classifying senior learners. In this case, the decision tree model is used. This study is conducted with 60 seniors aged 60–83 years old from the Senior School in Chiang Rai. For this study, four groups of senior learners are determined including Professional, Medium, Less Knowledge, and No Experience learner. The method with scores of performance relied on the learning ability of a person and the method with personal profile factors are studied and compared. The classification results show that the score based and the factor based method provide 95.00% and 91.67% accuracy respectively. Additionally, the results of the factor based method show that the significant factors contributing to learner classification are the amount of the internet using time, memory problems, the number of programs uses, and age respectively.","PeriodicalId":256742,"journal":{"name":"2018 Global Wireless Summit (GWS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124974629","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

Characterization of Wireless Power Transfer Measurement at 2.45 GHz 2.45 GHz无线功率传输测量特性

2018 Global Wireless Summit (GWS) Pub Date : 2018-11-01 DOI: 10.1109/GWS.2018.8686714

Thanadol Tiengthong, S. Promwong

{"title":"Characterization of Wireless Power Transfer Measurement at 2.45 GHz","authors":"Thanadol Tiengthong, S. Promwong","doi":"10.1109/GWS.2018.8686714","DOIUrl":"https://doi.org/10.1109/GWS.2018.8686714","url":null,"abstract":"Wireless sensor network has been developing rapidly. Internet of Things (IoT) is a major role for the next generation of wireless communication system. However, the power consumption and lifetime of the battery are a limitation for the IoT device. Wireless Power Transfer (WPT) is a promising technology to solve the problem due to it can be the ubiquitous power source for the IoT devices by provide the energy via the propagation of radiowaves. The 2.45 GHz ISM is a popular frequency bandwidth which widely used in WiFi application which make it easy to use. The performance of the propagation can evaluate by various parameter. Receive power is use to analyze the efficiency of the radio frequency transmission. Therefore, this paper has been evaluated the WPT measurement data with difference separate distance between antennas at 2.45 GHz. By using the meander line antenna as the transmit antenna and receive antenna. Vector network analyzer (VNA) is used to measure and record the transfer function. The receive power which analyze the measurement data by using link budget equation. The results have shown good agreement between the simulation and measurement result which have the average of measurement result less than the simulation result around 2 dB.","PeriodicalId":256742,"journal":{"name":"2018 Global Wireless Summit (GWS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127741559","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

An E-Health Enterprise Architecture Framework: Integration of Thailand Case 电子医疗企业架构框架:泰国案例整合

2018 Global Wireless Summit (GWS) Pub Date : 2018-11-01 DOI: 10.1109/GWS.2018.8686514

T. Mayakul, S. Kiattisin

{"title":"An E-Health Enterprise Architecture Framework: Integration of Thailand Case","authors":"T. Mayakul, S. Kiattisin","doi":"10.1109/GWS.2018.8686514","DOIUrl":"https://doi.org/10.1109/GWS.2018.8686514","url":null,"abstract":"Enterprise architecture (EA) is the solution to improve efficacy and enhance the transparency. EA serves the integration between business, technology, and management focusing on policy alignment. This study presents an e-Health framework based on the EA concept and the digital disruption. The framework assumption is the connected health system. The framework has been designed through comprehensive literature review as well as qualitative evaluation consisting of eight major layers. The strategy layer includes the governance and health policy. The business layer covers on e-service and health data with citizen participation. The technology and infrastructure offer the supporting platform to link the application and service. The last component is the regulation including health index and e-healthcare standard to enable the data communication within the system. The framework demonstrates the integrated enterprise architecture would contribute to promote interoperability and transparency through the layers of data and e-service. Moreover, the point of care is identified as the system key driver to create the people centric health system. The qualitative evaluation confirms the completeness and agreement of the framework. It would generate benefits on health management and public participation in term of good governance and service improvement.","PeriodicalId":256742,"journal":{"name":"2018 Global Wireless Summit (GWS)","volume":"80 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126220127","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

An Improved BHC Caching Strategy Based on ICN 一种改进的基于ICN的BHC缓存策略

2018 Global Wireless Summit (GWS) Pub Date : 2018-11-01 DOI: 10.1109/GWS.2018.8686673

S. Jing, Muqing Wu, Jiangwei Shen, Zhao Min

引用次数: 0

Evaluation of Indoor Localization with Range-Free Weighted Localization Algorithm 基于无距离加权定位算法的室内定位评价

2018 Global Wireless Summit (GWS) Pub Date : 2018-11-01 DOI: 10.1109/GWS.2018.8686617

Jutamas Thongkam, P. Supanakoon, S. Promwong

引用次数: 5

Capture of UAVs Through GPS Spoofing 通过GPS欺骗捕获无人机

2018 Global Wireless Summit (GWS) Pub Date : 2018-11-01 DOI: 10.1109/GWS.2018.8686727

João Gaspar, Renato Ferreira, P. Sebastião, N. Souto

引用次数: 23

Reinforcement Learning for Online Learning Recommendation System 在线学习推荐系统的强化学习

2018 Global Wireless Summit (GWS) Pub Date : 2018-11-01 DOI: 10.1109/GWS.2018.8686513

Wacharawan Intayoad, Chayapol Kamyod, P. Temdee

引用次数: 9

Communication Technology and Social Science Correlation 通信技术与社会科学相关

2018 Global Wireless Summit (GWS) Pub Date : 2018-11-01 DOI: 10.1109/GWS.2018.8686649

D. Singh, R. Prasad

引用次数: 0