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2020 IEEE Student Conference on Research and Development (SCOReD)最新文献

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Multi-Leader Particle Swarm Optimization for Optimal Planning of Distributed Generation 分布式发电最优规划的多前导粒子群算法
Pub Date : 2020-09-27 DOI: 10.1109/SCOReD50371.2020.9250957
Eshan Karunarathne, J. Pasupuleti, J. Ekanayake, D. Almeida
In today’s world, Distributed Generation (DG) has become an outstanding solution to cater to power system challenges caused due to the exponential growth of load demand. Many researchers have used various optimization techniques for the optimal planning of location and the size of the DGs. However, premature convergence, precision of the output and complexity are few major drawbacks of these optimization techniques. In this paper, Multi-Leader Particle Swarm Optimization (MLPSO) is utilized to determine the optimal locations and sizes of DGs with the intention of active power loss minimization. Thus, the primary drawback of premature convergence in existing optimization techniques is suppressed. A comprehensive performance analysis is carried out on IEEE 33 bus system. The findings reveal a 67.40% reduction of loss by integrating three DGs with unity power factor. The comparison of the results with other optimization techniques has demonstrated the effectiveness of MLPSO Algorithm.
在当今世界,分布式发电(DG)已成为一个突出的解决方案,以满足电力系统所带来的挑战,由于负荷需求的指数增长。许多研究人员使用了各种优化技术来优化规划dg的位置和大小。然而,过早收敛、输出精度和复杂性是这些优化技术的几个主要缺点。本文以有功损耗最小为目标,利用多前导粒子群算法(MLPSO)确定dg的最优位置和最优尺寸。因此,现有优化技术中过早收敛的主要缺点被抑制了。对ieee33总线系统进行了全面的性能分析。结果表明,通过统一功率因数集成三个dg,损耗降低了67.40%。通过与其他优化方法的比较,验证了MLPSO算法的有效性。
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引用次数: 2
Presentation Video 演讲视频
Pub Date : 2020-09-27 DOI: 10.1109/scored50371.2020.9250951
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引用次数: 1
Deep Learning Traffic Sign Recognition in Autonomous Vehicle 自动驾驶汽车中深度学习交通标志识别
Pub Date : 2020-09-27 DOI: 10.1109/SCOReD50371.2020.9251034
Sharifah Maryam Alhabshee, Abu Ubaidah bin Shamsudin
In this paper, a deep learning method is used to make a system for traffic sign recognition. You Only Look Once (YOLOv3) is used as it has a quick response in terms of real-time data reliability followed by high accuracy and robust performance. This study applies image preprocessing for better decision making for the recognition system in a different environment which includes lighting and weather. This is to ensure that the approach used is safe to be installed in autonomous vehicles. A comparison of images trained and tested will be demonstrated. The accuracy reach up to 100% and time to recognize traffic sign in image is in 36.907457 seconds. An analysis is done to ensure the error rate is reduced as training is done in a longer $period$.
本文采用深度学习的方法构建了一个交通标志识别系统。使用You Only Look Once (YOLOv3),因为它在实时数据可靠性方面具有快速响应,其次是高精度和强大的性能。本研究将图像预处理应用于不同环境下的识别系统,包括光照和天气。这是为了确保所使用的方法可以安全地安装在自动驾驶汽车上。将演示训练和测试图像的比较。准确率达到100%,图像中交通标志的识别时间为36.907457秒。进行分析以确保在较长的$周期$中进行训练时降低错误率。
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引用次数: 5
A Comparative Study of Extractive Summary Algorithms Using Natural Language Processing 基于自然语言处理的抽取摘要算法的比较研究
Pub Date : 2020-09-27 DOI: 10.1109/SCOReD50371.2020.9251032
W. H. Ong, K. Tay, C. C. Chew, A. Huong
Language, an important feature in our daily life. It is a tool in communication used by humans. Currently, there is an increasing number of articles and journals flooded on the Internet It is hard to read and study au the related articles to users’ research areas manually because there is limited time for each people. One of the solutions is to summarize texts in the article. Natural Language Processing (NLP) is one of the features in Machine Learning (ML) and it is used for summarization This study was tried to investigate the performances of the three different extractive algorithms from NLP. The results were evaluated with the ROUGE evaluation package using ROUGE-1, ROUGE-2, ROUGE-L, and ROUGE-SU4 methods. 3 $theta$ samples from the BBC dataset were used as the training data in the evaluation process. Results generated from ROUGE toolkit show the performance of the Barrios et al.’s works is the best among the other two.
语言,是我们日常生活中的一个重要特征。它是人类使用的一种交流工具。目前,互联网上充斥着越来越多的文章和期刊,由于每个人的时间有限,很难手动阅读和研究用户研究领域的相关文章。解决方法之一是总结文章中的文本。自然语言处理(Natural Language Processing, NLP)是机器学习(Machine Learning, ML)的特征之一,用于总结。本研究试图探讨三种不同的NLP提取算法的性能。采用ROUGE评价包,采用ROUGE-1、ROUGE-2、ROUGE- l和ROUGE- su4方法对结果进行评价。在评估过程中,使用来自BBC数据集的3个$theta$样本作为训练数据。ROUGE工具包生成的结果表明,Barrios等人的作品在其他两种作品中表现最好。
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引用次数: 1
Development of Hybrid Energy System for Streetlight in Ayer Hitam, Johor Using MATLAB/Simulink 基于MATLAB/Simulink的柔佛亚依淡路灯混合能源系统开发
Pub Date : 2020-09-27 DOI: 10.1109/SCOReD50371.2020.9251011
S. N. M. Rozi, S. Salimin
Through the era of globalization, the aims to increase the using of renewable energy in many applications had become vital. The form of Hybrid Energy System (HES) by using solar and wind energy can produce power to supply several types of load including streetlight. This research aims to analyze the power output of a standalone hybrid PV solar and wind energy system by using MATLAB/SIMULINK based on data collection in Ayer Hitam, Johor, Malaysia. Both systems are connected to the common load through DC link. The power output of this hybrid energy system is used to supply the streetlight. The model of wind system is developed by using the Permanent Magnet Synchronous Generator (PMSG). The performance for each system is analyzed.
在全球化时代,在许多应用中增加使用可再生能源的目标已变得至关重要。混合能源系统(HES)的形式利用太阳能和风能可以产生电力供应几种类型的负载,包括路灯。本研究旨在基于马来西亚柔佛州亚依坦的数据收集,利用MATLAB/SIMULINK分析独立的光伏、太阳能和风能混合系统的输出功率。两个系统通过直流链路连接到共同负载。这种混合能源系统的输出功率用于供应路灯。利用永磁同步发电机(PMSG)建立了风力系统的模型。对每个系统的性能进行了分析。
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引用次数: 0
Structure of Polypropylene-based Nanocomposites containing Calcium Zirconate 含锆酸钙的聚丙烯基纳米复合材料的结构
Pub Date : 2020-09-27 DOI: 10.1109/SCOReD50371.2020.9250932
N. Johari, K. Y. Lau, Z. Abdul-Malek
Polypropylene (PP) has recently been proposed as a good alternative to cross-linked polyethylene (XLPE) in the field of dielectrics due to PP’s beneficial properties to withstand higher thermal endurance of up to 150°C along with its ability to be recycled with ease, when compared with XLPE. However, PP is much stiffer than XLPE, making it unsuitable to be extruded as a high voltage cable insulation. Furthermore, PP has poor thermal conductivity under room temperature when compared with XLPE, which will otherwise result in inferior dielectric performances. Therefore, PP needs to be modified to alter its physical as well as electrical properties. In the current work, ethylene-propylene-diene monomer (EPDM) was proposed to be combined with PP to produce a PP blend with reduced overall stiffness. To increase the thermal conductivity of the PP blend, nanofillers were proposed to be added to the PP blend. For these reasons, the structure of the proposed materials was investigated by Fourier transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), and differential scanning calorimetry (DSC).
聚丙烯(PP)最近被认为是电介质领域交联聚乙烯(XLPE)的良好替代品,因为与XLPE相比,PP具有更高的耐热性(高达150°C)以及易于回收的能力。然而,PP比XLPE硬得多,使其不适合作为高压电缆绝缘挤出。此外,与XLPE相比,PP在室温下的导热性较差,这将导致其介电性能较差。因此,需要对PP进行改性,以改变其物理和电学性能。在目前的工作中,提出将三元乙丙橡胶(EPDM)与PP结合,以生产总体刚度降低的PP共混物。为了提高PP共混物的导热性,提出在共混物中加入纳米填充剂。为此,采用傅里叶变换红外光谱(FTIR)、热重分析(TGA)和差示扫描量热法(DSC)对所提材料的结构进行了研究。
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引用次数: 0
Malaysian Banknote Reader For Visually Impaired Person 马来西亚钞票阅读器为视障人士
Pub Date : 2020-09-27 DOI: 10.1109/SCOReD50371.2020.9250979
Chi Jie Tan, Wai Kit Wong, Thu Soe Min
Visually impaired person facing difficulty in shopping, running business and activities that dealing with handling banknote. This paper presents a Malaysian banknote reader targeted for visually impaired person to allow them identifying Malaysian banknotes value and dealing with dealers that performing business transaction in Ringgit. This paper proposes a Malaysian banknote reader for visually impaired person using perceptual hashing based image searching and fuzzy logic algorithm. the banknote image captured by the reader will be sent to cloud/internet server for image processing, via Wi-Fi to eliminate the bulky size reader problem. A server in cloud is set up to receive the captured image and return the analysis results after running the image processing algorithm. This will eventually reduce the costs and size of the banknote reader. The banknote reader reached about 95% accuracy by testing 600 different worn, torn and new Malaysian banknotes. The proposed reader managed to recognize banknotes at about 480ms to 560ms for single-sided recognition, after image taken by the reader’s camera. The test of the reader was also run with both visually impaired and visually good participants to recognize 100 pieces of different Malaysian banknote. The result shown that the recognition responses is comparable, only with slight difference of 1.0908 second per banknote reading time.
视障人士在购物、经营业务及办理钞票等活动中遇到困难。本文介绍了一种针对视障人士的马来西亚钞票阅读器,使他们能够识别马来西亚钞票的价值,并与以林吉特进行商业交易的经销商打交道。本文提出了一种基于感知哈希的图像搜索和模糊逻辑算法的视障人士马来西亚钞票阅读器。读取器捕获的钞票图像将通过Wi-Fi发送到云/互联网服务器进行图像处理,以消除读取器体积庞大的问题。在云中设置服务器接收捕获的图像,并在运行图像处理算法后返回分析结果。这将最终降低成本和钞票阅读器的尺寸。通过测试600种不同的磨损、撕裂和新的马来西亚钞票,钞票读取器的准确率达到了95%左右。在读取相机拍摄图像后,该读卡器能够在480毫秒至560毫秒的时间内识别单面纸币。这项测试还对视力受损和视力正常的参与者进行了测试,让他们识别100张不同的马来西亚钞票。结果表明,识别响应具有可比性,仅存在1.0908秒/张钞票阅读时间的细微差异。
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引用次数: 2
An Optimum Design of the Carbon Nanotube Field Effect Transistor for Analog Applications in 10 nm Technology 10纳米模拟应用碳纳米管场效应晶体管的优化设计
Pub Date : 2020-09-27 DOI: 10.1109/SCOReD50371.2020.9250982
W. H. Chua, C. Uttraphan, B. C. Kok
Complementary metal oxide semiconductor (CMOS) technology has encountered the challenges in scaling beyond 5 nm in recent years, hence, limiting further performance improvement. The carbon nanotube field-effect transistor (CNFET) has potential to replace the metal oxide semiconductor field effect transistor (MOSFET) due to its similar electrical properties and fabrication processes, with better performance. In this paper, we present an optimum design of a two-stage CNFET operational amplifier (op-amp) in 10 nm technology. The optimum design is achieved considering the analog performance metrics such as the open-loop gain, gain bandwidth, power dissipation, and output resistance. The structural parameters of the CNFET, the number of carbon nanotubes (CNTs) N, CNT diameter DCNT, and inter-CNT spacing S were altered and simulated against the performance metrics to observe the variation of the performance metrics. Based on the simulation results, higher value of structural parameters offers higher performances without at the cost of higher power dissipation. In this work, the achieved optimum value of N, DCNT, and S of 11, 1.7 nm, and 20 nm, respectively.
近年来,互补金属氧化物半导体(CMOS)技术在5nm以上的尺度上遇到了挑战,因此限制了进一步的性能改进。碳纳米管场效应晶体管(CNFET)具有与金属氧化物半导体场效应晶体管(MOSFET)相似的电学性能和制造工艺,具有取代MOSFET的潜力。在本文中,我们提出了一个优化设计的两级CNFET运算放大器(运放)在10纳米技术。考虑开环增益、增益带宽、功耗和输出电阻等模拟性能指标,实现了最佳设计。改变CNFET的结构参数、碳纳米管(CNT)数量N、碳纳米管直径DCNT和碳纳米管间距S,并根据性能指标进行模拟,观察性能指标的变化。仿真结果表明,结构参数值越高,性能越好,且不需要付出更高的功耗代价。在这项工作中,N、DCNT和S的最佳值分别为11 nm、1.7 nm和20 nm。
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引用次数: 0
Liquid-Sensing Metamaterial Ring Resonator in Millimeter-wave band for 5G Applications 5G毫米波应用的液体传感超材料环形谐振器
Pub Date : 2020-09-27 DOI: 10.1109/SCOReD50371.2020.9250999
S. Qureshi, Z. Abidin, Adel Y. I. Ashyap, S. Dahlan, H. Majid, C. See
A novel microwave technology-based biosensor operating at 36 GHz is developed for liquid-sensing properties for 5G applications. The metamaterial resonator in the designed biosensor consists of a single ring connected by two microstrip lines. The overall dimensions of the biosensor are $5 times 8$ mm2. The simulated results demonstrate the resonant frequency drops as the MUT of higher permittivity value is introduced in place of the gap of the ring resonator. Therefore, the proposed metamaterial ring resonator can provide good sensitivity when sensing the MUT that are resonant in mm-W for 5G applications.
开发了一种基于36 GHz微波技术的新型生物传感器,用于5G应用的液体传感特性。所设计的生物传感器中的超材料谐振器由两个微带线连接的单个环组成。生物传感器的整体尺寸为5 × 8 mm2。仿真结果表明,在环形谐振腔间隙中引入介电常数较大的MUT后,谐振频率有所下降。因此,本文提出的超材料环形谐振器在检测5G应用中mm-W谐振的MUT时具有良好的灵敏度。
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引用次数: 3
Simulation Studies on Converter for Thermoelectric Generator Mobile Charger 热电发电机移动充电器变换器的仿真研究
Pub Date : 2020-09-27 DOI: 10.1109/SCOReD50371.2020.9250993
Kok Hong Wong, Mohd. Zaki Daud
Electronic gadgets are more and more demanding nowadays. When the users are difficult to reach the grid or have no charger along with them, aside from conventional power bank, thermoelectric generator (TEG) can be another choice to charge up their electronic gadgets. Most of the TEG can only generates low voltage which is not enough to charge up the electronic gadgets. So, the voltage needs to be stepped up. Boost converter with voltage sensor or switching regulator is considered and both are compared in terms of efficiency performance, stability, and reliability by using software. In low voltage application, a switching regulator is more suitable to be used to step up TEG voltage for charging mobile devices compared with self-constructed boost converter.
如今,电子产品的要求越来越高。当用户难以到达电网或没有充电器时,除了传统的充电宝,热电发电机(TEG)是另一个为他们的电子产品充电的选择。大多数TEG只能产生低电压,不足以给电子设备充电。所以,电压需要升高。本文考虑了带电压传感器的升压变换器和带开关稳压器的升压变换器,并利用软件对两者的效率、性能、稳定性和可靠性进行了比较。在低压应用中,与自建升压变换器相比,开关稳压器更适合用于提高TEG电压,为移动设备充电。
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引用次数: 0
期刊
2020 IEEE Student Conference on Research and Development (SCOReD)
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