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2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)最新文献

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“Can NLP techniques be utilized as a reliable tool for medical science?” - Building a NLP Framework to Classify Medical Reports “NLP技术能否被用作医学科学的可靠工具?”-建立一个分类医疗报告的NLP框架
Nafiz Sadman, Sumaiya Tasneem, Ariful Haque, Maminur Islam, M. Ahsan, Kishor Datta Gupta
Artificial intelligence persists on being a right-hand tool for many branches of biology. From preliminary advices and treatments, such as understanding if symptoms related to fever or cold, to critical detection of cancerous cell or classification of X-rays, traditional machine learning and deep learning techniques achieved remarkable feats. However, total dependency on machine-based prediction is yet a far fetched concept. In this paper, we provide a framework utilizing several Natural Language Processing (NLP) algorithms to construct a comparative analysis. We create an ensemble of top-performing algorithms to accomplish classification task on medical reports. We compare both the traditional machine learning and deep learning techniques and evaluate their probabilities of being reliable on analyzing medical diagnosis. We concluded that an ensemble approach can provide reliable outcomes with accuracy over 92% and that the current state of the art is unequipped to provide the result with the standard needed for health sectors but an ensemble of these techniques can be a pathway for future research direction.
人工智能一直是生物学许多分支的得力工具。从了解是否与发烧或感冒有关的症状等初步建议和治疗,到关键的癌细胞检测或x射线分类,传统的机器学习和深度学习技术取得了令人瞩目的成就。然而,完全依赖基于机器的预测仍然是一个牵强的概念。在本文中,我们提供了一个利用几种自然语言处理(NLP)算法来构建比较分析的框架。我们创建了一个高性能算法集合来完成医学报告的分类任务。我们比较了传统的机器学习和深度学习技术,并评估了它们在分析医学诊断方面的可靠性。我们的结论是,综合方法可以提供准确率超过92%的可靠结果,目前的技术水平还无法提供卫生部门所需的标准结果,但这些技术的综合可以成为未来研究方向的途径。
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引用次数: 8
Manual and Autonomous Mode based Navigation using Human Robot Interaction on a Robotic Vehicle 基于人机交互的机器人车辆手动和自主导航模式
Manasa Mainampati, B. Chandrasekaran
This paper describes how different algorithms are implemented on autonomous robots like GoPiGo robot and Turtlebot. A* and behavioral-based algorithms are programmed and used in this work. The GoPiGo robot is a vehicle control device; it can work in either manual or autonomous mode. Based on human instruction, the robot can switch back and forth between manual and autonomous control. A switching-based module is used to select the signals in manual mode and automated control signals in the automated mode. This research is a work in progress, and the next stage is using the Turtlebot to achieve the implementation of this work.
本文描述了不同的算法是如何在自主机器人如GoPiGo机器人和Turtlebot上实现的。A*和基于行为的算法被编程并用于这项工作。GoPiGo机器人是一种车辆控制装置;它可以在手动或自动模式下工作。根据人的指令,机器人可以在手动和自主控制之间来回切换。切换模块用于选择手动模式下的信号和自动模式下的自动控制信号。这项研究是一项正在进行的工作,下一阶段是使用乌龟机器人来实现这项工作的实施。
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引用次数: 1
A Low-Power Tapered Matrix Distributed Amplifier for Ultra-Wide-Band Applications 一种用于超宽带应用的低功耗锥形矩阵分布式放大器
Mehrdad Harifi-Mood, Somayye Abbasi Avval, Abolfazl Bijari, Nabeeh Kandalaft
A fully integrated tapered matrix distributed amplifier (DA) for broadband applications is presented in this paper. The DA is designed in the TSMC 180 nm CMOS RF process. For the gain improvement, the proposed DA employs a matrix architecture to take advantage of the additive and multiplicative gain mechanisms simultaneously. In addition, tapered transmission line technique is used to mitigate power consumption. Also, the terminating resistor of the input transmission line is replaced with an optimized RL-network to ameliorate the noise curve of the DA. In the first stage, the DA used a tunable cascode amplifier as the gain cells to extend the bandwidth. Based on simulation results, the proposed DA with a 3-dB bandwidth of 19.5 GHz demonstrates a flat power gain (S21) of $12+1 text{dB}$. Throughout the frequency range, S11 and S22 of the DA are below than −10 dB. The noise figure (NF) varies between 5 ∼ 6.75 dB and the average third-order input intercept point (IIP3) in the operating band is −3.75 dBm. The proposed DA consumes a DC power of 25 mW from a 1-V supply.
介绍了一种宽带应用的全集成锥形矩阵分布式放大器(DA)。DA采用台积电180纳米CMOS射频工艺设计。为了提高增益,本文提出的数据分析采用矩阵结构,同时利用了加性增益和乘性增益机制。此外,采用锥形传输线技术来降低功耗。同时,将输入传输线的终端电阻替换为优化的rl网络,改善了数据处理的噪声曲线。在第一阶段,数据处理使用可调谐级联放大器作为增益单元来扩展带宽。仿真结果表明,所提出的3db带宽为19.5 GHz的数据放大器的平坦功率增益(S21)为$12+1 text{dB}$。在整个频率范围内,DA的S11和S22都小于−10 dB。噪声系数(NF)在5 ~ 6.75 dB之间变化,工作频带的平均三阶输入截距点(IIP3)为−3.75 dBm。所提出的数据分析从1v电源中消耗25 mW的直流功率。
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引用次数: 4
Overcome IT Lab Challenge in COVID-19 with Windows-to-Go 使用Windows-to-Go克服COVID-19中的IT实验室挑战
Changshi Yang, Xianping Wang, Ying Luo, G. Stefanek
In the transition of courses from face-to-face to distance learning during the COVID-19 pandemic, students doing labs at home becomes a major challenge. In this paper, we proposed a feasible solution of building a low-cost portable IT laboratory with Windows-to-Go installed on a USB 3.1 flash drive. To verify the feasibility and usability of this portable IT laboratory, we setup two systems on a single test computer for performance comparison — Windows-to-Go installed on a USB 3.1 flash drive and Windows 10 installed on an internal SSD. Focusing on the needs of IT discipline, we manually compared the performance of installing, executing normal IT software and other common IT tasks on both systems. We also compared their performance benchmarks by PassMark. The experiment results show that this low-cost portable IT laboratory can be used as a candidate solution for students doing labs at home.
在2019冠状病毒病大流行期间,在课程从面对面学习向远程学习过渡的过程中,学生在家做实验成为一项重大挑战。在本文中,我们提出了一个可行的解决方案,即在USB 3.1闪存驱动器上安装Windows-to-Go,建立一个低成本的便携式IT实验室。为了验证这个便携式IT实验室的可行性和可用性,我们在一台测试计算机上设置了两个系统进行性能比较-安装在USB 3.1闪存驱动器上的Windows- To - go和安装在内部SSD上的Windows 10。专注于IT规程的需求,我们手动比较了在两个系统上安装、执行正常IT软件和其他常见IT任务的性能。我们还通过PassMark比较了它们的性能基准。实验结果表明,这种低成本的便携式IT实验室可以作为学生在家做实验的备选解决方案。
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引用次数: 1
A Model to Enhance Governance Issues through Opinion Extraction 通过意见抽取来强化治理问题的模式
K. Shaukat, Talha Mahboob Alam, M. Ahmed, S. Luo, I. Hameed, Muhammad Shahid Iqbal, Jiaming Li, Muhammad Atif Iqbal
We live in a world where data is expanding exponentially. Most of the data is unstructured when obtained through the web. Many organizations, institutes, and governments worldwide gather public views regarding their products, services, or policies. With thousands of reviews about some product, service, or policy, it is impossible to conclude some kind of final thought from it. To handle this, there is a desperate need for a model that can extract meaningful information from data to make correct and timely decisions for the efficient growth of business and smooth running of an organization or government. Otherwise, the practice of collecting and storing data will be ineffective. In this study, we focused on conducting an extensive public survey on issues of Southern Punjab, carry out appropriate processing on collected data and predict trends in public opinion for decision-making. Natural Language Processing (NLP) and Machine Learning (ML) have dealt with this problem. Different data preprocessing techniques have been utilized to remove the noise from data. Our experiments stated that unemployment, poverty, education, and corruption are the major issues of the targeted region. This study will help government officials and non-governmental organizations to be focused on the extracted issues in the specific region.
我们生活在一个数据呈指数级增长的世界。通过网络获取的大多数数据都是非结构化的。世界各地的许多组织、机构和政府都会收集有关其产品、服务或政策的公众意见。面对成千上万条关于某种产品、服务或政策的评论,我们不可能从中得出某种最终的想法。为了处理这个问题,迫切需要一种模型,它可以从数据中提取有意义的信息,以便为业务的有效增长和组织或政府的顺利运行做出正确和及时的决策。否则,收集和存储数据的实践将无效。在本研究中,我们侧重于对旁遮普邦南部的问题进行广泛的公众调查,对收集到的数据进行适当的处理,并预测公众舆论的趋势,以供决策。自然语言处理(NLP)和机器学习(ML)已经解决了这个问题。不同的数据预处理技术被用来去除数据中的噪声。我们的实验表明,失业、贫困、教育和腐败是目标地区的主要问题。这项研究将有助于政府官员和非政府组织集中注意具体区域所提出的问题。
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引用次数: 13
Financial Time Series Stock Price Prediction using Deep Learning 使用深度学习的金融时间序列股票价格预测
M. Goyal
Several research studies have been devoted for the last two decades to make estimates on or to forecast stock prices. Accurate stock prediction movement is still an open question for many companies and financial organizations. This article analyses the stock market prediction using deep learning model. The empirical results reveal the superiority of the LSTM recurrent deep learning model over Feed forward neural network and time series ARIMA model in terms four prediction metrics i.e. mean square error, root mean square error, mean average error and mean average percent error.
在过去的二十年里,有几项研究致力于对股票价格进行估计或预测。对许多公司和金融机构来说,准确的股票预测走势仍然是一个悬而未决的问题。本文利用深度学习模型对股票市场进行预测分析。实证结果表明,LSTM循环深度学习模型在均方误差、均方根误差、平均误差和平均百分比误差四个预测指标上优于前馈神经网络和时间序列ARIMA模型。
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引用次数: 1
Development of a Low-cost LoRa based SCADA system for Monitoring and Supervisory Control of Small Renewable Energy Generation Systems 小型可再生能源发电系统监测与监控的低成本LoRa SCADA系统开发
Cherechi Ndukwe, M. Iqbal, J. Khan
This paper presents the design and development of a low-cost, open-source LoRa based Supervisory Control and Data Acquisition (SCADA) system for monitoring and control of small-sized microgrids located in remote locations. The proposed system is based on the 4th SCADA generation (IoT based), which features the combination of connectivity of components for data sharing. The proposed system employs LoRa physical level communication as the communication channel, and comprises of voltage and current sensors that act as the field instrumentation devices to acquire electrical parameters from the system. It also features LEDs that represent actuators for control. An Arduino Uno microcontroller is employed as the Remote Terminal Unit (RTU) to receive the parameters and process them for ttransmission. The Chirpstack IOT server, Node-Red, Influxdb, and Grafana are all installed locally on the Raspberry Pi (Master Terminal Unit, MTU) for data processing, storage, monitoring, and remote control of the actuators. The proposed system was set up in the Electrical Engineering Laboratory of the Memorial University to monitor a 130 W, 12 V solar PV panel with batteries Connected for energy storage. The acquired data is published on dashboards created on Grafana for monitoring and control.
本文介绍了一种低成本、开源的基于LoRa的监控和数据采集(SCADA)系统的设计和开发,用于监测和控制位于偏远地区的小型微电网。该系统基于第四代SCADA(基于物联网),其特点是将组件的连接组合在一起,以实现数据共享。该系统采用LoRa物理级通信作为通信通道,并由电压和电流传感器作为现场仪表设备,从系统中获取电气参数。它还具有代表控制执行器的led。采用Arduino Uno微控制器作为远程终端单元(RTU)接收参数并对其进行处理以进行传输。Chirpstack物联网服务器、Node-Red、Influxdb和Grafana都安装在树莓派(Master Terminal Unit, MTU)上,用于数据处理、存储、监控和远程控制执行器。该系统安装在纪念大学的电气工程实验室,用于监测一个130w, 12v的太阳能光伏板,并连接电池进行储能。采集到的数据发布在Grafana上创建的仪表板上,用于监测和控制。
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引用次数: 2
Customer Experience Management Platform (CEMP) 客户体验管理平台(CEMP)
M.P.M. Dias, U. Udunuwara, R.L. Weragama, P. M. Senadeera
Fault management plays a major role in Telecommunication industry. An effective and efficient response to customer complaints is an essential index of organization's performance. The presented model for the CEMP has the ability to minimize customers' dissatisfaction and on the other hand it can encourage customers to participate in controlling the provided quality of the services. The customer may feel dissatisfied with the service if he or she receives a delayed response. Customers do not know where to fill the complaint, Current complaint handling in the organization still have these problems. Therefore, CEMP was proposed and implemented to solve the customer faults. CEMP was consisted both a mobile application and a web application linking the customer to technician in the field through a management portal. Proposed system has the functionalities of fault/technician tracking, maintain user profile, nearest technician acknowledgement and customer feedback which are beneficial to both customer and the company.
故障管理在电信行业中起着重要的作用。对顾客投诉的有效回应是组织绩效的重要指标。所提出的CEMP模型一方面可以最大限度地减少顾客的不满,另一方面也可以鼓励顾客参与控制所提供的服务质量。如果客户收到延迟的回复,他或她可能会对服务感到不满意。客户不知道在哪里填写投诉,目前在组织投诉处理中还存在这些问题。因此,提出并实施了CEMP来解决客户故障。CEMP由移动应用程序和web应用程序组成,通过管理门户将客户与现场技术人员连接起来。该系统具有故障/技术人员跟踪、维护用户档案、最近的技术人员确认和客户反馈等功能,对客户和公司都有好处。
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引用次数: 0
Drones Swarm Recharging: Modeling Using Agent-Based Simulation 无人机群充电:基于agent的仿真建模
Leonardo Grando, E. Ursini, Paulo S. Martins
This work seeks to address one of the most critical problems of Flying Ad Hoc Networks (FANET), which is the issue of recharging batteries coordination. For recharges to be carried out in the best possible way, the number of load devices (Base Stations) should not be excessively high so as not to burden the network. On the other hand, it is also necessary that when the drones want to recharge, there must always be a source of energy available. For this, we propose internal estimators that provide intelligence to the drones to try to predict the next charger attendance rate. The drones will not have communication with each other to recharge coordination but will continue to communicate concerning other routine activities (note that this communication is not considered in the scope of this model), that is, for recharging the batteries' coordination, there will be no energy expenditure on communication. The verification of the suitability of the proposal is done through Agent-Based Simulation and the use of three different policies for decision making. This will enable an approach that aims to optimize the operation of the system through a Nash equilibrium.
这项工作旨在解决飞行自组织网络(FANET)最关键的问题之一,即电池充电协调问题。为了尽可能以最佳方式进行充值,负载设备(基站)的数量不应过高,以免给网络造成负担。另一方面,当无人机想要充电时,也必须有一个可用的能量来源。为此,我们提出了内部估计器,为无人机提供智能,以尝试预测下一个充电器的出勤率。无人机之间不会进行充电协调的通信,而是继续进行其他日常活动的通信(注意,此通信不考虑在本模型的范围内),即对于电池的充电协调,不存在通信上的能量消耗。通过基于agent的仿真和使用三种不同的决策策略来验证提案的适用性。这将使一种旨在通过纳什均衡优化系统运行的方法成为可能。
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引用次数: 0
Morphing Quadcopters: A Comparison Between Proposed and Prominent Foldable Quadcopters 变形四轴飞行器:建议和突出的可折叠四轴飞行器之间的比较
T. Tothong, James Samawi, Ameya Govalkar, K. George
Quadcopters are entering numerous fields of work and require unique functionality for each area that they are deployed. They are also becoming more adaptable to terrain and changes in the environment. For example, a quadcopter that can fold could be used by Search and Rescue teams who need to navigate tight and inaccessible spaces. This paper presents a notable insight into two variants of morphing drones that have been assembled with keeping different morphing modes and mechanisms in mind. The first proposed quadcopter uses servo motors on each propellor arm to achieve a folding motion mid-flight, while the second proposed quadcopter uses a novel method of utilizing micro linear actuators to reduce its size in all directions. Flight data for the proposed quadcopters will be presented, along with comparing total weight, flight time, size reduction, and other parameters with similar morphing quadcopters from the research community.
四轴飞行器正在进入许多工作领域,并且需要为它们部署的每个领域提供独特的功能。它们对地形和环境变化的适应能力也越来越强。例如,可以折叠的四轴飞行器可以用于需要在狭窄和难以进入的空间中航行的搜救队。本文提出了一个值得注意的洞察变形无人机的两个变种,已组装保持不同的变形模式和机制在脑海中。第一种提出的四轴飞行器在每个螺旋桨臂上使用伺服电机来实现飞行中的折叠运动,而第二种提出的四轴飞行器使用一种利用微线性致动器的新方法来减小其在所有方向上的尺寸。拟议的四轴飞行器的飞行数据将被提出,以及比较总重量,飞行时间,尺寸减小,以及其他参数与类似的变形四轴飞行器从研究界。
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引用次数: 3
期刊
2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
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