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2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST)最新文献

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An On-Body Matched Planar Inverted-F Antenna for Biotelemetry System 生物遥测系统的身体匹配平面倒f天线
A. Al-Faruk, Khondaker Abdul Mazed, Sadia Tanzim Islam, Md. Lutfur Rahman
In this study, an on-body Planar Inverted-F Antenna (PIFA) has been designed for biomedical purposes operated in Medical Implant Communication Service (MICS) (401-406MHz) band. The primary reasons behind choosing MICS band are its only application is found in medical sector due to its world wide availability, acceptable propagation and characteristics. The main features of this antenna are its minimized sized compare than recent on-body biomedical antennas. The total dimension of this antenna is 29mm×29mm×1.04mm. In order to make this antenna bio medically suitable for use on human tissues; the antenna has mounted on different human tissue models where proper electrical properties of human muscles has been maintained. The antenna is suitable for real time monitoring for different types of disease related to human skin, muscle, brain, breast etc. Towards making this antenna more bio-compatible and improving its performance an additional Silicon layer has been used. As this antenna is designed for biomedical application, it needs to be harmless to human tissue for which it’s SAR (Specific Absorption Rate) is needed to be below the restricted limit by Federal Communications Commission (FCC). This measurement has also kept in mind during the design. Finally this antenna has been simulated on different human body models by using Computer Simulation Technology (CST).
在本研究中,设计了一种在医疗植入物通信服务(MICS) (401-406MHz)频段运行的用于生物医学目的的体上平面倒f天线(PIFA)。选择多指标类集频带的主要原因是,由于其在世界范围内的可用性、可接受的传播和特性,其唯一的应用是在医疗部门。这种天线的主要特点是与最近的身体生物医学天线相比,它的尺寸最小。这个天线的总尺寸是29mm×29mm×1.04mm。为了使这种天线在生物医学上适用于人体组织;该天线安装在不同的人体组织模型上,保持了人体肌肉的适当电学特性。该天线适用于对人体皮肤、肌肉、大脑、乳房等不同类型疾病的实时监测。为了使这种天线更具生物相容性并提高其性能,已经使用了额外的硅层。由于这种天线是为生物医学应用而设计的,它需要对人体组织无害,并且它的SAR(比吸收率)需要低于联邦通信委员会(FCC)的限制限值。在设计过程中也要考虑到这一测量。最后利用计算机仿真技术(CST)对该天线在不同人体模型上进行了仿真。
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引用次数: 2
Contextual Deep Search using Long Short Term Memory Recurrent Neural Network 基于长短期记忆递归神经网络的上下文深度搜索
Mohammad Arifur Rahman, Fahad Ahmed, Nafis Ali
The internet is teeming with an ocean worth of information and combing through all that in order to find what one wants can become a daunting task if one does not possess the right tools and techniques. This paper explores one such technique, exploiting the rapidly responsive Long-Short Term Memory Recurrent Neural Networks (LSTM-RNNs) by harnessing the machine learning capabilities of neural networks and eventually, provides contextual search results at the finger tips of the user of the system.
互联网充满了海量的信息,如果一个人不具备合适的工具和技术,通过梳理所有这些信息来找到自己想要的东西可能会成为一项艰巨的任务。本文探讨了一种这样的技术,通过利用神经网络的机器学习能力,利用快速响应的长短期记忆递归神经网络(LSTM-RNNs),并最终在系统用户的指尖提供上下文搜索结果。
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引用次数: 1
Investigating an Active Noise Cancellation System for Reducing the Sound of Car Horns in an Enclosed Cavity 主动降噪系统在封闭腔体中降低汽车喇叭声的研究
Ebad Zahir, Shubho Mohajan, A. Barua, Jobayed Hossain, Md. Raihan Rabby
Active Noise Cancellation (ANC) technology has been a tremendous challenge in modern science. This technology uses the basic interference principle of waves to cancel out a signal by superposition with its inverted signal. This paper presents the possible results of implementing an ANC system to reduce the sound level of car horns inside the room of a patient in a hospital in Bangladesh. The entire project was initially modelled using a designed wooden cavity in place of the desired room. After attempting the work using Analog methods, the researchers decided to explore digital solutions by designing a Digital Signal Processing (DSP) unit in MATLAB and Simulink. All real world signals were used which were captured using microphones. And speakers were used to generate noise and anti-noise for the modelled system.
主动噪声消除(ANC)技术一直是现代科学中的一个巨大挑战。该技术利用波的基本干涉原理,通过叠加反向信号来抵消信号。本文介绍了在孟加拉国一家医院实施一种ANC系统来降低病人房间内汽车喇叭的声音水平的可能结果。整个项目最初使用设计的木制空腔来代替所需的房间。在尝试使用模拟方法进行工作后,研究人员决定通过在MATLAB和Simulink中设计数字信号处理(DSP)单元来探索数字解决方案。所有真实世界的信号都是用麦克风捕捉的。并利用扬声器对模拟系统进行降噪和降噪。
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引用次数: 1
Sensitivity Enhancement of Surface Plasmon Resonance Biosensor using Black Phosphorus and WSe2 用黑磷和WSe2增强表面等离子体共振生物传感器的灵敏度
Jannati Nabiha Nur, Kamrun Nahar Shushama, Fairuj Asrafy, Mohammad Hasibul Hasan Hasib, Mohammad Abdul Goffar Khan
In this paper, Kretschmann configuring SPR biosensor has been proposed using simulation based numerical and graphical demonstration. Five layers of biosensor model is submitted consisting of Silver (Ag), Black phosphorus (BP) and two dimensional TMDC Tungsten Diselenide (WSe2) layers. Angular modulation is adapted to evaluate the results by monochromatic P polarized incident light with 633nm wavelength. Highest sensitivity of 367.8571 °/RIU is achieved by using three layers of BP along with only one layer of WSe2. Layer optimization is carried out by changing the minimum reflectance, change in resonance angle and sensitivity. This recommended biosensor model gives the desirable maximum change in sensitivity while changing the refractive index of the sensing medium.
本文采用基于仿真的数值和图形演示方法,提出了Kretschmann配置SPR生物传感器。提出了由银(Ag)层、黑磷(BP)层和二维TMDC二硒化钨(WSe2)层组成的五层生物传感器模型。采用角调制法对波长为633nm的单色P偏振入射光的测量结果进行评价。通过使用三层BP和一层WSe2,可以获得367.8571°/RIU的最高灵敏度。通过改变最小反射率、共振角和灵敏度进行层优化。这种推荐的生物传感器模型在改变传感介质的折射率的同时给出了理想的最大灵敏度变化。
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引用次数: 3
Supercapacitor E-STATCOM for Power System Performance Enhancement 用于电力系统性能增强的超级电容器E-STATCOM
M. Wara, A. Rahim
E-STATCOMs are static compensator devices incorporated with energy storage devices. In this paper, a supercapacitor energy storage system (SCESS) has been interfaced with a static compensator (STATCOM) for transient control of a power system. While STATCOM is known to improve the reactive power unbalance following a contingency, a STATCOM SCESS system can affect both real and reactive power needs. Performance of a single machine infinite bus system has been considered as a test case. It has been observed that a simple STATCOM SCESS can stabilize an unstable system. Additionally, supplementary PI controllers in both voltage magnitude and phase angle loops can provide extra damping to the system. The controllers have been shown to provide very good responses even when the system is subjected to severe three-phase fault conditions.
E-STATCOMs是与储能装置相结合的静态补偿装置。本文将超级电容储能系统(SCESS)与静态补偿器(STATCOM)相结合,用于电力系统的暂态控制。虽然已知STATCOM可以改善突发事件后的无功功率不平衡,但STATCOM SCESS系统可以同时影响实际和无功功率需求。以单机无限母线系统的性能为测试用例。已经观察到,一个简单的STATCOM SCESS可以稳定一个不稳定的系统。此外,在电压幅值和相角回路中补充PI控制器可以为系统提供额外的阻尼。已经证明,即使在系统遭受严重的三相故障条件时,控制器也能提供非常好的响应。
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引用次数: 5
Design of Piston-Driven Automated Cardiopulmonary Resuscitation Device with Patient Monitoring System 带监护系统的活塞驱动自动心肺复苏装置的设计
M. Alam, M. A. Amin, Mahamud Hussain, R. H. Bhuiyan, Mohammad Monirujjaman Khan
Cardiopulmonary Resuscitation (CPR) is an emergency medical procedure applied when a patient’s heart stops functioning suddenly, mainly due to cardiac arrest, drowning or electric shock. Normally, CPR is applied manually but the process is ineffective to provide adequate chest compressions to cardiac arrest patients. The main objective in this paper is to design a mechanized process of providing CPR and thus replacing the traditional manual CPR technique altogether. We designed an automated CPR device with piston-driven chest compression system and a patient monitoring system. The patient monitoring system consists of a heart rate monitor, body temperature monitor and respiratory rate monitor. The heart rate monitor is integrated with the automated CPR device. This means that when the heart rate monitor detects patient’s heart beat then the automated CPR device will not operate but if the heart rate monitor detects no heart beat then the automated CPR device will immediately provide CPR to the patient. The automated CPR along with the patient monitoring system has been tested on a CPR manikin and the results of the performance is well within the accepted CPR guidelines.
心肺复苏术(CPR)是一种紧急医疗程序,当病人的心脏突然停止运作,主要是由于心脏骤停,溺水或电击。通常情况下,心肺复苏术是手动实施的,但该过程无法为心脏骤停患者提供足够的胸部按压。本文的主要目的是设计一种提供心肺复苏术的机械化过程,从而完全取代传统的人工心肺复苏术。我们设计了一种带有活塞驱动胸外按压系统和病人监护系统的自动心肺复苏术装置。患者监护系统由心率监测仪、体温监测仪和呼吸频率监测仪组成。心率监测器与自动心肺复苏术装置集成在一起。这意味着当心率监测器检测到病人的心跳时,自动心肺复苏术设备将不会操作,但如果心率监测器检测到没有心跳,那么自动心肺复苏术设备将立即为病人提供心肺复苏术。自动心肺复苏术和病人监测系统已经在一个心肺复苏术人体模型上进行了测试,其性能结果完全符合公认的心肺复苏术指导方针。
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引用次数: 6
Study of Switching Transient Over Voltage due to Transient Short Circuit Fault in a Power Distribution Network 配电网暂态短路故障引起的开关暂态过电压研究
M. Hasan, S. Biswas, Md. Ali Azam Khan
This Fault means unsatisfactory, undesirable situation or feature which is a commonly known word in power system network. Over all system’s behavior, reliability, system’s protection, controlling is very much dependent on fault analysis. When a system is in faulty condition, it states in abnormal situation and lose it’s system properties such as continuous power flow to the consumers. Moreover, it’s long existence can impairment the system equipment and causes fire whose continuation causes property loss, hence over all economical loss of the power system. To mitigate this circumstance, it necessary to understand the system behavior in the faulty situation and so there needs a term named fault analysis. This paper focused on the transient fault analysis of the distribution side of the power system network to show the transient overvoltage developed during clearing of fault. PSCAD software has been used to simulate the network and understand the behavior of voltage and current during faulty period and voltages developed at different buses during clearing of fault. In PSCAD software, a schematic diagram is built to run the simulation process, analysis the result and depicted the data in a graphical circumstance.
这种故障是电网中不令人满意的、不希望出现的情况或特征,是一个通称。总的来说,系统的行为、可靠性、系统的保护、控制在很大程度上依赖于故障分析。当系统处于故障状态时,它处于异常状态,失去了系统的特性,如连续向用户供电。此外,它的长期存在会损坏系统设备,引起火灾,火灾的持续会造成财产损失,从而导致电力系统的整体经济损失。为了减轻这种情况,有必要了解故障情况下的系统行为,因此需要一个称为故障分析的术语。本文主要对电网配电侧的暂态故障进行分析,揭示故障清除过程中产生的暂态过电压。利用PSCAD软件对电网进行仿真,了解故障期间电压、电流的变化规律以及故障清除过程中各母线电压的变化规律。在PSCAD软件中,建立了一个原理图来运行仿真过程,分析结果并在图形环境中描述数据。
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引用次数: 4
The Impact of Photovoltaic Penetration with Real Case: ThuaThienHue – Vietnamese Grid 光伏渗透的影响与实际案例:广东-越南电网
M. Q. Duong, N. Tran, C. A. Hossain
Nowadays, renewable energy is a trend in power generation in the world, gradually replacing conventional energy resources as fossil fuels are becoming exhausted and environmental problems are worsening. In particular, solar energy is currently being interested by many countries all over the world. Along with the development, the grid has faced with several risks during operation process when this type of energy resource is integrated. This article examines the impact of solar energy on the local distribution grid and on the grid performance when the fault occurs based on the actual grid pattern, ThuaThienHue-Vietnamese grid and PhongDien Solar photovoltaic Project (PhongDien PV). Using ETAP we have shown how the load flow of the PV system in the grid of ThuaThienHue-Vietnamese. The different levels of PhongDien PV penetration are considered in assumed cases to examine the frequency, voltage and resilience capability of the grid. The results show that the impact of solar power plants on the distribution grid as well as the benefits it brings.
随着化石燃料的枯竭和环境问题的日益严重,可再生能源逐渐取代传统能源成为当今世界发电的趋势。特别是太阳能,目前正受到世界上许多国家的关注。随着发展,电网在整合该类能源的过程中面临着诸多风险。本文以实际的电网格局、thuathienhue - vietnam电网和PhongDien太阳能光伏项目(PhongDien PV)为基础,考察了太阳能对当地配电网和故障发生时电网性能的影响。使用ETAP,我们展示了光伏系统在thathienhue - vietnamese电网中的负载流。在假设的情况下,考虑了PhongDien光伏渗透的不同水平,以检查电网的频率,电压和恢复能力。结果表明,太阳能电站对配电网的影响及其带来的效益。
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引用次数: 2
Energy Consumption Reduction of Bangladesh using Nudge via Smart Grid: An Empirical Approach 通过智能电网减少孟加拉国的能源消耗:一种经验方法
M. Hossain, S. Islam
A smart grid is a digitally intertwined electrical network which delivers electricity to consumers through a multidirectional controlling system. Such systems allow analysis, monitoring and communication within the power transmission network to increase efficiency, minimize energy consumption and maximize the use of power used between production to consumption. The present power transmission system in Bangladesh is piled atop very old and rickety system, Bangladesh suffers from a massive load-shedding problem based on multifaceted issues. Alongside improving on power generation capacity and moving towards a smart grid system, the country needs to consider and move towards an energy efficient culture using the smart grid systems in order to further reduce power shortage problem. This paper will assess the effectiveness of behavioral science and nudge theory in developing an energy-conscious culture to save energy waste. The many examples of energy efficiency behaviors implemented around the world will be discussed in detail trying to find an approach appropriate for the country. The intent of this paper is to draw the attention of policymakers, engineering researchers and professionals towards such passive and low-cost approaches that has high potential to become successful on a microeconomic and macroeconomic scale.
智能电网是一个数字交织的电力网络,它通过多向控制系统向消费者提供电力。这种系统允许在输电网络内进行分析、监测和通信,以提高效率,最大限度地减少能源消耗,并最大限度地利用从生产到消费之间使用的电力。孟加拉国目前的电力传输系统是在非常老旧和摇摇欲坠的系统上堆叠的,孟加拉国面临着基于多方面问题的大规模减载问题。在提高发电能力和向智能电网系统迈进的同时,国家需要考虑并向利用智能电网系统的节能文化迈进,以进一步减少电力短缺问题。本文将评估行为科学和助推理论在发展能源意识文化以节约能源浪费方面的有效性。将详细讨论世界各地实施的许多节能行为的例子,试图找到适合该国的方法。本文的目的是引起政策制定者、工程研究人员和专业人员对这种被动和低成本的方法的注意,这些方法在微观经济和宏观经济规模上具有很高的成功潜力。
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引用次数: 1
Performance Evaluation of Different Algorithms for Handwritten Isolated Bangla Character Recognition 手写体孤立孟加拉文字识别不同算法的性能评价
Syed Irfan Ali Meerza, Moinul Islam, M. Uzzal
Handwritten character recognition is one of the most emerging fields within the optical character recognition area. Bangla handwritten character recognition is a complex task, it is challenging due to extensive size and diversity within the alphabets. Currently, convolutional neural network (CNN) has been proven to have the ability to classify complex dataset. The convolutional neural network does not require any predefined feature extraction method, but it requires a large dataset to gain accuracy. This work proposes a convolutional neural network model for classifying Bangla handwritten alphabets and compares the performance with the other widely used models for classification. Each model is trained with a large dataset, which is augmented to have diversity in data and features. After training, we have tested the models with 7500 sample images and it shows an accuracy of 97.87% for the proposed model. In this work, we also find out the weights of the CNN network for best performance and used that weights to evaluate the performance from other data set for cross-validation of our model. The weighted model accuracy for two different independent data set is 95.23% and 94.22%.
手写体字符识别是光学字符识别领域中一个新兴的领域。孟加拉语手写字符识别是一项复杂的任务,由于字母的广泛大小和多样性,它具有挑战性。目前,卷积神经网络(CNN)已经被证明具有对复杂数据集进行分类的能力。卷积神经网络不需要任何预定义的特征提取方法,但需要大量的数据集来获得准确性。本文提出了一种用于孟加拉语手写字母分类的卷积神经网络模型,并将其性能与其他广泛使用的分类模型进行了比较。每个模型都使用一个大数据集进行训练,该数据集被增强以具有数据和特征的多样性。经过训练,我们用7500张样本图像对模型进行了测试,模型的准确率达到了97.87%。在这项工作中,我们还找出了CNN网络最佳性能的权重,并使用该权重来评估来自其他数据集的性能,以交叉验证我们的模型。两种不同独立数据集的加权模型精度分别为95.23%和94.22%。
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引用次数: 1
期刊
2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST)
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