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2020 IEEE 5th International Symposium on Telecommunication Technologies (ISTT)最新文献

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A Development of Headwater Phenomenon Warning and Monitoring System 水源现象预警监测系统的研制
Pub Date : 2020-11-09 DOI: 10.1109/ISTT50966.2020.9279394
M. Kameel, I. Isnin, Raja Zahilah Raja Mohd Radzi, M. Latif, K. A. Bakar, H. K. Mammi, Marina Md Arshad
Spending time at recreational forests or river is always exciting and relaxing. However, the unpredictable power of the nature can sometimes be life threatening towards the people and surrounding area. One of the most common life threatening phenomenons at river spot is the headwater phenomenon. The sudden and rapid rise of water volume and velocity at the upper-side of the river may causing the people at the lower-side of the river to be involved in high water rise which may cause them to drown or drifted away to the river bed. On top of that, there is no monitoring system or alert provided at the river spots except for manual scheduled monitoring done by the Forestry Department which may consume more manpower and time to monitor and provide the alert. Therefore, Headwater phenomenon warning and monitoring system which is an Internet of Things (IoT) and mobile application system was developed in order to provide early alert to people in the surrounding of rivers or recreational forests. The system can provide real-time monitoring of headwater events and water level besides providing warning both on-site and on applications for user notification.
花时间在休闲森林或河流总是令人兴奋和放松。然而,大自然不可预测的力量有时会威胁到人们和周围地区的生命。河源现象是河流最常见的威胁生命的现象之一。河流上游的水量和流速突然迅速上升,可能会使河流下游的人们卷入高水位,从而导致他们被淹死或漂流到河床上。此外,河流点除了由林业部门进行人工定时监测外,没有提供监测系统和警报,这可能会消耗更多的人力和时间来监测和提供警报。因此,开发了一种物联网和移动应用系统——源头现象预警与监测系统,为河流或游憩森林周围的人们提供预警。该系统除了提供现场和应用程序报警外,还可以实时监测水源事件和水位。
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引用次数: 0
Smart Bike Monitoring System for Cyclist via Internet of Things (IoT) 基于物联网的自行车智能监控系统
Pub Date : 2020-11-09 DOI: 10.1109/ISTT50966.2020.9279377
W. Muhamad, Sayyidul Ainulfadhily bin Razali, N. Wahab, Meor Mohamad Azreen, S. S. Sarnin, N. F. Naim
This project presents a smart bike with monitoring system for cyclist via internet of things (IoT). The system is designed for real time monitoring of cyclist in terms of health condition and cyclist’s performance. The whole system consists of various sensors such as heart rate sensor, pulse oximetry sensor, magnet reed sensor and GPS module. The sensors are connected to the microcontroller and Wi-Fi module that can be accessed through an IoT platform which is blynk application. The data of the cyclist in terms of health condition and cyclist’s performance can be monitored by the cyclist as well as their coach. First, heart rate sensor was used to monitor the heart rate of the cyclist within time whereas pulse oximetry sensor was used to measure the oxygen saturation inside the cyclist’s body. Meanwhile, magnet reed sensor was mounted to the frame of the bike to measure the speed and distance travelled by the cyclist. Plus, GPS module was used to track and trace the position of the cyclist. The data that have been transmitted can be synchronized or displayed on smartphone via blynk application. Therefore, GUI interface of blynk application displayed the parameter such as heart rate, pulse oximetry, speed, distance travelled and position for the cyclist and coach to monitor their health condition and cyclist’s while in training or tournament.
该项目提出了一种智能自行车,通过物联网(IoT)为骑自行车的人提供监控系统。该系统是为实时监测骑行者的健康状况和运动表现而设计的。整个系统由心率传感器、脉搏血氧仪传感器、磁簧传感器、GPS模块等多种传感器组成。传感器连接到微控制器和Wi-Fi模块,可以通过blynk应用程序的物联网平台访问。骑自行车者的健康状况和表现的数据可以由骑自行车者和他们的教练来监控。首先,使用心率传感器监测骑车者在一段时间内的心率,使用脉搏血氧计传感器测量骑车者体内的氧饱和度。同时,在自行车的车架上安装了磁簧传感器来测量骑行者的速度和距离。此外,GPS模块用于跟踪和追踪骑车人的位置。已经传输的数据可以通过blynk应用程序同步或显示在智能手机上。因此,blynk应用程序的GUI界面显示心率、脉搏血氧、速度、行驶距离和位置等参数,供骑行者和教练在训练或比赛时监测自己和骑行者的健康状况。
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引用次数: 5
FPGA Based Transmitter Design Using Adaptive Coding and Modulation Schemes for Low Earth Orbit Satellite Communications 基于FPGA的低地球轨道卫星通信自适应编码与调制发射机设计
Pub Date : 2020-11-09 DOI: 10.1109/ISTT50966.2020.9279382
Erkan İnceöz, R. Tutgun, Ayse Melda Yüksel Turgut
In this study, a field-programmable gate array (FPGA) based high rate transmitter is developed for low earth orbit satellite communication links using adaptive coding and modulation (ACM) techniques. The developed transmitter structure is modeled in MATLAB. Then, the MATLAB model is taken as reference for developing an FPGA design. This design is implemented on Xilinx Kintex Ultrascale XCKU060 FPGA which provides high performance and whose space grade model will be on product line in December 2020. It is shown that the developed transmitter structure can reach a spectral efficiency of 7.068 bits per second per Hertz (bps/Hz) with a code rate of 0.8889 in the highest rate mode. The implemented FPGA design of the transmitter structure can support input data rates from 50.7225 megabits per second (Mbps) to 530.1 Mbps with a baud rate of 75 mega symbol per second (Msps) and a sampling rate of 300 mega sample per second (MSps) at the output.
在本研究中,利用自适应编码和调制(ACM)技术,开发了一种基于现场可编程门阵列(FPGA)的低地球轨道卫星通信链路高速率发射机。在MATLAB中对所开发的发射机结构进行了建模。然后,以MATLAB模型为参考进行FPGA设计。该设计在赛灵思Kintex Ultrascale XCKU060 FPGA上实现,该FPGA提供高性能,其空间级型号将于2020年12月上市。结果表明,在最高速率模式下,该发射机结构的频谱效率为7.068比特/秒/赫兹(bps/Hz),码率为0.8889。该发射机结构的FPGA设计可支持从50.7225兆比特/秒(Mbps)到530.1兆比特/秒的输入数据速率,波特率为75兆比特/秒(Msps),输出采样率为300兆比特/秒(Msps)。
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引用次数: 0
VANET: Towards Security Issues Review 瓦内特:对安全问题的审查
Pub Date : 2020-11-09 DOI: 10.1109/ISTT50966.2020.9279375
A. Mustafa, Mustafa Maad Hamdi, H. Mahdi, M. Abood
The Ad-hoc vehicle networks (VANETs) recently stressed communications and networking technologies. VANETs vary from MANETs in tasks, obstacles, system architecture and operation. Smart vehicles and RSUs communicate through unsafe wireless media. By nature, they are vulnerable to threats that can lead to life-threatening circumstances. Due to potentially bad impacts, security measures are needed to recognize these VANET assaults. In this review paper of VANET security, the new VANET approaches are summarized by addressing security complexities. Second, we’re reviewing these possible threats and literature recognition mechanisms. Finally, the attacks and their effects are identified and clarified and the responses addressed together.
自组织车辆网络(VANETs)最近强调通信和网络技术。vanet在任务、障碍、系统架构和操作方面与manet不同。智能汽车和rsu通过不安全的无线媒体进行通信。从本质上讲,他们很容易受到威胁,可能导致危及生命的情况。由于潜在的不良影响,需要采取安全措施来识别这些VANET攻击。本文综述了VANET的安全性,从解决安全复杂性的角度对VANET的新方法进行了总结。其次,我们正在回顾这些可能的威胁和文献识别机制。最后,确定和澄清攻击及其影响,并共同解决应对措施。
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引用次数: 12
FBMC/OQAM Transceiver for Ultralarge Bandwidths 超大带宽的FBMC/OQAM收发器
Pub Date : 2020-11-09 DOI: 10.1109/ISTT50966.2020.9279347
D. Mattera, M. Tanda
We consider the problem of the downlink transceiver design when it needs to operate in an ultralarge analog bandwidth; more specifically, we propose to use the FBMC/OQAM system in a scenario where many other multicarrier transceivers are not able to operate. For such a case, we consider the problems of the equalizer implementation and of the design of its coefficients, and we define proper procedures for solving them by resorting to the MMSE approach. The simulation results show the capability of the proposed solutions to operate also on the most hostile wireless channels at the price of a reasonable increase of the receiver computational complexity.
当需要在超大模拟带宽下工作时,我们考虑了下行收发器的设计问题;更具体地说,我们建议在许多其他多载波收发器无法运行的情况下使用FBMC/OQAM系统。对于这种情况,我们考虑了均衡器实现和系数设计的问题,并定义了通过采用MMSE方法解决这些问题的适当程序。仿真结果表明,在合理提高接收机计算复杂度的前提下,所提出的方案能够在最恶劣的无线信道上运行。
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引用次数: 0
A Review on Wireless Emerging IoT Indoor Localization 无线新兴物联网室内定位研究综述
Pub Date : 2020-11-09 DOI: 10.1109/ISTT50966.2020.9279386
K. Kordi, A. Alhammadi, M. Roslee, M. Y. Alias, Qazwan Abdullah (غزوان عبد الله محمد طربوش)
Indoor localization has become the focus of several research studies in recent years. It is very prominent in a wide range of services, such as location-based services. The indoor localization system is a part of the Internet of Thing (IoT) framework, which provides real-time tracking and monitoring solution. This research study aims to provide an update on the recently proposed localization systems. In this paper, localization techniques and emerging technologies are discussed and highlighted their strength and weakness. Different proposed systems are discussed and evaluated based on accuracy, robustness, scalability, complexity, and cost. This survey provides the researcher’s guideline and an excellent platform to further their research in indoor localization.
室内定位是近年来研究的热点。它在广泛的服务中非常突出,例如基于位置的服务。室内定位系统是物联网(IoT)框架的一部分,提供实时跟踪和监控解决方案。本研究旨在为最近提出的定位系统提供更新。本文讨论了定位技术和新兴技术,并指出了它们的优缺点。本文讨论并评估了不同系统的准确性、鲁棒性、可扩展性、复杂性和成本。本研究为进一步开展室内定位研究提供了指导和良好的平台。
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引用次数: 9
Capacity Optimised User Association in Planned Small Cell Deployment for Heterogeneous Wireless Networks 异构无线网络规划小蜂窝部署中的容量优化用户关联
Pub Date : 2020-11-09 DOI: 10.1109/ISTT50966.2020.9279387
Siva Priya Thiagarajah, M. Y. Alias, Wooi-Nee Tan, A. Mahmud
Small cells are deployed in Heterogeneous Networks (HetNet) to increase capacity per area. However, small cells become secondary user attachment choices due to their low powered transmissions, rendering their deployments redundant in achieving the intended capacity goals. Random deployment of small cells adds complexity to interference management in the HetNet, further raising challenges of Quality of Service (QoS) and load balancing. This work models a load balanced and QoS controlled user association scheme in HetNet, by proposing a fixed small cell deployment framework to achieve capacity optimisation. A non-biasing based user association to maximise HetNet capacity is proposed. Results showed that the proposed algorithm can be used to achieve high load balancing fairness in the HetNet without the complicated process of finding an optimal bias value for the small cell.
小型蜂窝部署在异构网络(HetNet)中,以增加每个区域的容量。然而,小型蜂窝由于其低功率传输而成为次要用户附件选择,使得它们的部署在实现预期容量目标方面显得多余。小蜂窝的随机部署增加了HetNet干扰管理的复杂性,进一步提出了服务质量(QoS)和负载平衡的挑战。该工作通过提出固定的小蜂窝部署框架来实现容量优化,为HetNet中的负载均衡和QoS控制的用户关联方案建模。提出了一种基于无偏倚的用户关联方法来最大化HetNet容量。结果表明,该算法可以在HetNet中实现较高的负载均衡公平性,而无需为小小区寻找最优偏置值的复杂过程。
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引用次数: 2
Prototype Development for Real-Time GIC Measurement Using LoRa 基于LoRa的实时GIC测量原型开发
Pub Date : 2020-11-09 DOI: 10.1109/ISTT50966.2020.9279378
K. Burhanudin, M. H. Jusoh, Zatul Iffah Abd Latiff, A. Zainuddin, M. Talib
Geomagnetic Induced Current (GIC) is a natural current that drives from the underground to the electrical appliances. The existence of GIC causes a harmful effect on the surface and underground technology. This paper proposed the development of IoT GIC measurement equipment with LoRa technology as the intermediary for data transfer. The GIC measurement equipment is tested through several medium and distance traveled to test the LoRa module. LoRa technology is used for GIC measurement to ease the data transfer from the ground field or remote area to the area which is accessible by internet connection. The study is important to identify a suitable range for LoRa to be deployed at the ground station for GIC measurement. The LoRa module used for the research study is SX1278
地磁感应电流(GIC)是一种从地下驱动到电器的自然电流。GIC的存在对地面和地下技术都造成了不利的影响。本文提出了以LoRa技术作为数据传输中介的物联网GIC测量设备的开发。对GIC测量设备进行了几种介质和距离的测试,以测试LoRa模块。采用LoRa技术进行GIC测量,使数据从地面现场或偏远地区传输到可通过互联网连接的地区更加方便。该研究对于确定在地面站部署用于GIC测量的LoRa的合适范围非常重要。本次研究使用的LoRa模块为SX1278
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引用次数: 0
Measurement Study on Carrier Aggregation Implementation in LTE-Advanced Network LTE-Advanced网络中载波聚合实现的测量研究
Pub Date : 2020-11-09 DOI: 10.1109/ISTT50966.2020.9279393
A. S. Sani, Nur Idora Abdul Razak, S. S. Sarnin
The increase in demand of high-speed mobile internet has become a significant challenge towards mobile telecommunication service provider. The evolution from 3G to 4G mobile communication has shown a great improvement to cater the problem. However, in these days of data hunger application, 4G need to evolve to another level to be able to support it in the future. The introduction of LTE-Advance has become the cornerstone towards future mobile communications. In this paper, one of the features of LTE-Advance which is Carrier Aggregation (CA) is discussed. CA function by combining multiple carrier band to increase bandwidth so that the data rates throughput can be increase. The measurement was taken in USJ area which has high number of CA enable collocated base stations. The performance of CA is then compared with non-CA cases which is single band. It shows that CA results higher throughput compared to single band. However, when combining two single band throughputs, it results in higher data rates compared to CA throughput. This is due to lacking in P-Cell and S-Cell cooperation. Overall, LTE-Advance CA performance has significantly improved traditional LTE.
高速移动互联网需求的增长已成为移动通信服务提供商面临的重大挑战。从3G到4G移动通信的演进为解决这一问题提供了很大的改进。然而,在数据饥渴应用的今天,4G需要发展到另一个层次才能在未来支持它。LTE-Advance的引入已经成为未来移动通信的基石。本文讨论了LTE-Advance的一个特点,即载波聚合(Carrier Aggregation, CA)。CA功能通过组合多个载波频带来增加带宽,从而使数据速率吞吐量得到提高。测量是在USJ地区进行的,该地区有大量的CA使能并配基站。在此基础上,比较了单波段CA与非CA情况下的性能。结果表明,与单频段相比,CA具有更高的吞吐量。但是,当合并两个单频带吞吐量时,与CA吞吐量相比,它会产生更高的数据速率。这是由于缺乏P-Cell和S-Cell的合作。总的来说,LTE- advance CA的性能大大提高了传统LTE。
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引用次数: 1
Voice Pathology Detection Using Machine Learning Technique 基于机器学习技术的语音病理检测
Pub Date : 2020-11-09 DOI: 10.1109/ISTT50966.2020.9279346
Fahad Taha Al-Dhief, N. A. A. Latiff, N. A. Malik, Naseer Sabri Salim, M. Baki, Musatafa Abbas Abbood Albadr, A. F. Abbas, Y. M. Hussein, M. Mohammed
Recent proposed researches have witnessed that voice pathology detection systems can effectively contribute to the voice disorders assessment and provide early detection of voice pathologies. These systems used machine learning techniques which are considered as very promising tools in the detection of voice pathologies. However, most proposed systems in the detection of voice disorder utilized limited database. Furthermore, low accuracy rate is still the one of the most challenging issues for these techniques. This paper presents a voice pathology detection system using Online Sequential Extreme Learning Machine (OSELM) to classify the voice signal into healthy or pathological. In this work, the voice features are extracted by using Mel-Frequency Cepstral Coefficient (MFCC). The voice samples for the vowel /a/ were collected equally from Saarbrücken voice database (SVD). The proposed method is evaluated by three widely used measurements which are accuracy, sensitivity and specificity. The obtained results show that the maximum accuracy, sensitivity and specificity are 85%, 87% and 87%, respectively. According to the experimental results, the performance of OSELM algorithm is able to differentiate healthy and pathological voices effectively.
近年来的研究表明,语音病理检测系统可以有效地评估语音障碍,并提供语音病理的早期发现。这些系统使用的机器学习技术被认为是检测语音病理的非常有前途的工具。然而,目前提出的语音障碍检测系统大多利用有限的数据库。此外,低准确率仍然是这些技术最具挑战性的问题之一。提出了一种基于在线顺序极限学习机(OSELM)的语音病理检测系统,将语音信号分为健康和病理两类。在这项工作中,使用Mel-Frequency倒谱系数(MFCC)提取语音特征。从saarbr cken语音数据库(SVD)中平均抽取元音/a/的语音样本。采用准确度、灵敏度和特异性三种常用的测量方法对该方法进行了评价。结果表明,该方法的最高准确度、灵敏度和特异性分别为85%、87%和87%。实验结果表明,OSELM算法能够有效区分健康和病理语音。
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引用次数: 19
期刊
2020 IEEE 5th International Symposium on Telecommunication Technologies (ISTT)
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