2019 UK/ China Emerging Technologies (UCET)最新文献

{"title":"VANET Group Sizing for GFDM Relaying in Realistic Vehicular Networks","authors":"Scott Stainton, M. Johnston, S. Dlay","doi":"10.1109/UCET.2019.8881851","DOIUrl":"https://doi.org/10.1109/UCET.2019.8881851","url":null,"abstract":"In this paper, we present recent results from implementing a Decode and Forward (DF) cooperative relay system, coupled with the utilization of GFDM as an efficient PHY layer waveform for unification with the anticipated 5G network. Through simulation over realistic vehicular channel models, VANET group sizing is analyzed and demonstrates a trade-off between allowing higher diversity through extra relays and their ability to be effectively used in this harsh channel. An upper limit is placed on the VANET group size for specific conditions.","PeriodicalId":169373,"journal":{"name":"2019 UK/ China Emerging Technologies (UCET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133703990","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}

{"title":"Beam Steerable Antenna Development for Wireless Health Monitoring","authors":"M. S. Rabbani, A. Feresidis","doi":"10.1109/UCET.2019.8881864","DOIUrl":"https://doi.org/10.1109/UCET.2019.8881864","url":null,"abstract":"A wideband high gain (>20dBi) beam scanning microstrip antenna array is presented for remote vital sign monitoring utilizing Doppler radar technique at 60 GHz-band. The array is designed by 32 (8×4) extended size patch elements where 8 elements are fed in series in four columns. Beam scanning is achieved by tuning the operating frequency across 58–63 GHz operating frequency band. Since a narrow frequency band is required for Doppler radar in vital sign monitoring, the beam scanning property is employed to detect vital signs of a person changing locations to different angular positions. Remote health monitoring measurements are taken with two identical antennas at 1–2 m distance from the subject. It is shown that both the breathing rate (BR) and heartbeat rate (HR) can be successfully detected within 20° of the angular range by tuning the operating frequency from 58–63 GHz.","PeriodicalId":169373,"journal":{"name":"2019 UK/ China Emerging Technologies (UCET)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115547935","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}

{"title":"Implementation of Highly Accurate Test-Bed for Practical Evaluation of Wired and Wireless Internet Based Smart Grid Communications","authors":"Mehdi Zeinali, J. Thompson","doi":"10.1109/UCET.2019.8881858","DOIUrl":"https://doi.org/10.1109/UCET.2019.8881858","url":null,"abstract":"There have been a number of previous studies for implementing low cost and easily deployable communication networks to support smart grid services such as demand side management, automatic metering infrastructure, and virtual power plants. The outcome of the research showed us that internet based communication is the best option for low-cost, reliable and fast deployment. However, different characteristics of the internet in terms of speed and reliability should be investigated practically to help design smart grid services. In this paper, we practically evaluated the robustness of the United-Kingdom (UK) Internet network for demand response services. Further, the internet connectivity of consumer premises has been evaluated regarding its suitability for sending short control packets, in terms of packet loss and latency. From the results it can be seen that the cable broadband and fourth Generation (4G) wireless access networks have better performance in terms of packet loss and latency whereas third Generation (3G) wireless networks show significantly poorer results.","PeriodicalId":169373,"journal":{"name":"2019 UK/ China Emerging Technologies (UCET)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128684747","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}

{"title":"A Vision-Based Amateur Drone Detection Algorithm for Public Safety Applications","authors":"Kainat Abbasi, A. Batool, Fawad, Muhammad Adeel Asghar, A. Saeed, Muhammad Jamil Khan, M. Rehman","doi":"10.1109/UCET.2019.8881879","DOIUrl":"https://doi.org/10.1109/UCET.2019.8881879","url":null,"abstract":"Drones will be widely used in the smart cities of the future for the wireless approach, supplying goods, and for conserving the security of smart cities. Apart from the various benefits of the drones, they pose significant challenges and public concerns that need to be tackled. We propose an amenable framework to detect malicious drone and ensure public safety. The proposed model is validated using 400 images with various challenges such as occlusion, scale variation, blurriness, background clutter, and low illumination. After extracting the features using ResNet50 model, we applied SVM's RBF kernel for the classification. The classification accuracy presented in the confusion matrix for this model came out to be the highest in comparison to other state-of-the-art models.","PeriodicalId":169373,"journal":{"name":"2019 UK/ China Emerging Technologies (UCET)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131459305","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}

{"title":"2019 UK/ China Emerging Technologies (UCET)","authors":"Xiaoyan Shi, L. Reggiani, Scott Stainton, S. Maruf, Abdullah, Kang Tan","doi":"10.1109/ucet.2019.8881886","DOIUrl":"https://doi.org/10.1109/ucet.2019.8881886","url":null,"abstract":"Modelling, Performance and Theory of Communication UAV Aided Data Dissemination for Multi-hop Backhauling in RAN Xiaoyan Shi (University of Edinburgh, United Kingdom (Great Britain)), John Thompson (University of Edinburgh, United Kingdom (Great Britain)), Majid Safari (University of Edinburgh, United Kingdom (Great Britain)), Shenjie Huang (the Uinviersity of Edinburgh, United Kingdom (Great Britain)), Rong Ke Liu (Beihang University, P.R. China) 1 A Study on Beamforming for Coverage of Emergency Areas from UAVs Luca Reggiani (Politecnico di Milano, Italy), Stefano Bolis (Politecnico di Milano, Italy), Davide Scazzoli (Politecnico di Milano, Italy), Maurizio Magarini (Politecnico di Milano, Italy), Mahtab Alam (Tallinn University of Technology, Estonia) 5 VANET Group Sizing for GFDM Relaying in Realistic Vehicular Networks Scott Stainton (Newcastle University, United Kingdom (Great Britain)), Martin Johnston (Newcastle University, United Kingdom (Great Britain)), S S Dlay (Newcastle University, United Kingdom (Great Britain)) 9 A Blockchain-based Secure Internet of Vehicles Management Framework Md Abdur Rahman (University of Prince Mugrin, Saudi Arabia), Md Mamunur Rashid (King's College London, United Kingdom (Great Britain)), Stuart Barnes (King's College London, United Kingdom (Great Britain)), Syed Maruf Abdullah (Smart City Research Laboratory, Saudi Arabia) 11 UWB-RTK Positioning System Based on TDOA Peng Zhao (University of Electronic Science and Technology of China, P.R. China), Xiaozhang Zhu (University of Electronic Science and Technology of China, P.R. China), Ling He (University of Electronic Science and Technology of China, P.R. China), Ziyan Yang (University of Electronic Science and Technology of China, P.R. China), Siming Zuo (University of Glasgow, United Kingdom (Great Britain)), Zhiqin Zhao (UESTC, P.R. China) 15 The Selected Samples Effect on the Projection Matrix to Estimate the Direction of Arrival Mohammed Al-Sadoon (Richmond Road, Bradford, BD7 1DP, United Kingdom (Great Britain) & University of Bradford, Iraq), Raed A Abd-Alhameed (University of Bradford, United Kingdom (Great Britain)), Basman Al-Nedawe (Middle Technical University & MTU, Iraq), Mohammed Bin Melha (Saudi Air Navigation Services, Saudi Arabia) 19 UAV-assisted Cluster-head Selection Mechanism for Wireless Sensor Network Applications Syed Kamran Haider (Hohai University, P.R. China), Muhammad Ali Jamshed (University of Surrey, United Kingdom (Great Britain)), Aimin Jiang (Hohai University, P.R. China), Haris Bin Pervaiz (Lancaster University, United Kingdom (Great Britain)), Qiang Ni (Lancaster University, United Kingdom (Great Britain)) 24 Position Paper: Prototyping Autonomous Vehicles Applications with Heterogeneous Multi-FPGA Systems Tarek Elouaret (ETIS Laboratory, France), Stephane Zuckerman (University of Cergy Pontoise, France), Lounis Kessal (ETIS-ENSEA, France), Yoan Espada (ETIS Laboratory, France), Nicolas Cuperlier (ETIS Laboratory, France), G","PeriodicalId":169373,"journal":{"name":"2019 UK/ China Emerging Technologies (UCET)","volume":"235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121262895","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}

{"title":"Use of Expert System in Requirements Engineering Process A Systematic Literature Review","authors":"Bushra Haq, Muhammad Nadeem, Imran Ali, Kamran Ali, M. Raza, M. Rehman","doi":"10.1109/UCET.2019.8881880","DOIUrl":"https://doi.org/10.1109/UCET.2019.8881880","url":null,"abstract":"Requirements Engineering (RE) process deals with elicitation, analysis, negotiation, validation, management, and documentation of requirements. Several artificial intelligence (AI) based approaches have been proposed to automate RE activities. However, the requirements engineering community still lacks a comprehensive understanding on how expert system are used in RE process. The objectives of this study are (1) to explore the different AI approaches which are employed in requirements engineering, (2) to identify the main phases addressed by these approaches, (3) to identify AI tools that used in RE process, and (4) we tried to find the contributions and the benefits of applying expert system in RE. We found that expert system can partially facilitate the RE process, however no expert system can fully automate the RE process.","PeriodicalId":169373,"journal":{"name":"2019 UK/ China Emerging Technologies (UCET)","volume":"11 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114112866","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}

{"title":"Visual Hand Tracking on Depth Image using 2-D Matched Filter","authors":"Yong-qian Sun, Xiangpeng Liang, Hua Fan, M. Imran, H. Heidari","doi":"10.1109/UCET.2019.8881866","DOIUrl":"https://doi.org/10.1109/UCET.2019.8881866","url":null,"abstract":"Hand detection has been the central attention of human-machine interaction in recent researches. In order to track hand accurately, traditional methods mostly involve using machine learning and other available libraries, which requires a lot of computational resource on data collection and processing. This paper presents a method of hand detection and tracking using depth image which can be conveniently and manageably applied in practice without the huge data analysis. This method is based on the two-dimensional matched filter in image processing to precisely locate the hand position through several underlying codes, cooperated with a Delta robot. Compared with other approaches, this method is comprehensible and time-saving, especially for single specific gesture detection and tracking. Additionally, it is friendly-programmed and can be used on variable platforms such as MATLAB and Python. The experiments show that this method can do fast hand tracking and improve accuracy by selecting the proper hand template and can be directly used in the applications of human-machine interaction. In order to evaluate the performance of gesture tracking, a recorded video on depth image model is used to test theoretical design, and a delta parallel robot is used to follow the moving hand by the proposed algorithm, which demonstrates the feasibility in practice.","PeriodicalId":169373,"journal":{"name":"2019 UK/ China Emerging Technologies (UCET)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114426512","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}

{"title":"Spectrum Cost Optimization for Cognitive Radio Transmission over TV White Spaces using Artificial Neural Networks","authors":"Metin Öztürk, A. Abubakar, N. Hassan, S. Hussain, M. Imran, C. Yuen","doi":"10.1109/UCET.2019.8881893","DOIUrl":"https://doi.org/10.1109/UCET.2019.8881893","url":null,"abstract":"In this paper, the use of TV White Spaces (TVWS) by small cognitive radio wireless network operators (SCWNOs) is considered in order to support the growing demands for IoT applications in smart grid and smart cities. In order to support the wide range of services and applications that are being offered by SCWNOS, spectrum leasing could be considered as an alternative solution to achieve improved Quality of Service (QoS). We consider a situation whereby in order to satisfy the QoS requirements, SCWNOs can decide to lease a certain part of the TVWS spectrum that is referred to as high priority TVWS channel (HPC) for a certain period and pay a fee depending on the duration of HPC spectrum usage. We develop an Artificial Neural Networks (ANN) based online algorithm to determine the optimal transmission decision per time slot that would minimise the overall HPC leasing cost of the SCWNOs while satisfying the QoS constraints. The simulations results shows that our proposed ANN based online algorithms outperforms the Lyapunov based online algorithm while its performance is very close to the optimal offline solution with 99% accuracy.","PeriodicalId":169373,"journal":{"name":"2019 UK/ China Emerging Technologies (UCET)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125715392","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}

{"title":"Wearable Peripheral Neuropathy Detection System based on Surface Electromyography","authors":"Kainat Yousaf, Hamna Ather, Wala Saadeh","doi":"10.1109/UCET.2019.8881853","DOIUrl":"https://doi.org/10.1109/UCET.2019.8881853","url":null,"abstract":"Peripheral neuropathy is a condition that affects the normal activity of the nerves of the peripheral nervous system. Patients with peripheral neuropathy may have tingling, numbness, unusual sensations, weakness, or burning pain in the affected area. The prevalence of this ailment ranges from 50% in Turkey, 22-600% in the Middle East, and 69% in Pakistan. Our aim is to devise a simple and reliable method to detect neuropathy. The Electromyography (EMG) signal can be used to analyze medical abnormalities and to analyze the bio medics of the human body. The signal carries valuable information regarding the nerve system. The electromyogram will be used to record the electrical activity through the surface electrodes applied to the skin. This work aims to extract the EMG signal through various modules: pre-amplification, frequency response analysis and processing of the signal extracted from both healthy and the ones with the tremor. At the end, we will be able to differentiate a healthy person from the one suffering from the ailment. It is supposed that the analysis of EMG signal will have wider application and research of tremor detection.","PeriodicalId":169373,"journal":{"name":"2019 UK/ China Emerging Technologies (UCET)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124820262","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}

{"title":"Infrastructure scour risk assessment using instrumented particles","authors":"C. Houston, D. Muir, M. Valyrakis","doi":"10.1109/UCET.2019.8881885","DOIUrl":"https://doi.org/10.1109/UCET.2019.8881885","url":null,"abstract":"An instrumented sphere, namely “smart-sphere”, has been developed to monitor the risk to infrastructure scour, by assessing the hydrodynamic forces acting on it, near the bed surface. The “smart-sphere” is fitted with inertial sensors (MEMS, such as accelerometers and angular displacement sensors), which enable recording the particle's three-dimensional displacement. The sensor logs (6 inertial axis measurement) data at a configurable rate of 200-1000Hz. The obtained data are safely stored in an internal memory unit and downloadable to a PC in an easy fashion and in a usable human readable state.","PeriodicalId":169373,"journal":{"name":"2019 UK/ China Emerging Technologies (UCET)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121637726","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}