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2021 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)最新文献

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High-Flow and High-Pressure Oxygen Mixing for Ventilator System 用于通风系统的高流量高压混氧
E. J. Pristianto, D. Kurniadi, Hana Arisesa, D. Kurniawan, E. D. Kurniawan, Y. N. Wijayanto, B. Prawara
The treatment of patients with acute respiratory failure due to COVID-19 needs ventilator machine support to provide oxygenation and ventilation processes. The most critical control in the machine is how to provide precision-inspired oxygen fraction (FiO2) to the patients during the treatment. Generally, the low-flow nasal cannula can provide 4-6 liters per minute of supplemental oxygen with approximately 37 - 45% FiO2. In this paper, we present high-flow and high-pressure oxygen mixing to provide up to 100% FiO2 and 60 liters per minute. The proposed system also employs the close-loop feedback control to achieve a desirable FiO2 set point. It can be used for a Continuous Positive Airway Pressure (CPAP) and Bilevel Positive Airway Pressure (BiPAP) ventilator systems with oxygen as well as a High Flow Nasal Cannula (HFNC) system for acute respiratory patient’s syndrome.
COVID-19急性呼吸衰竭患者的治疗需要呼吸机支持以提供氧合和通气过程。机器中最关键的控制是如何在治疗过程中为患者提供精确的吸入氧分数(FiO2)。一般情况下,低流量鼻插管每分钟可提供约37 - 45% FiO2的4-6升补充氧。在本文中,我们提出了高流量和高压氧气混合,以提供高达100%的FiO2和每分钟60升。该系统还采用闭环反馈控制,以达到理想的FiO2设定点。它可以用于持续气道正压(CPAP)和双水平气道正压(BiPAP)呼吸机系统,以及用于急性呼吸系统患者综合征的高流量鼻插管(HFNC)系统。
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引用次数: 3
Multi Features-based Baseband Modulation Classification using Support Vector Machine 基于支持向量机的多特征基带调制分类
William Damario Lukito, Farras Eldy Rashad, Effrina Yanti Hamid
This research discusses the implementation of machine learning for modulation classification purpose. In order to proof the concept, 6 types of modulation have been selected, i.e., BPSK, QPSK, 8-PSK, 16-QAM, BFSK, and 8-PAM. Machine learning algorithm that was used in this research is support vector machine (SVM) and implemented using MATLAB’s classification learner. Data sets were generated using an ADALM-PLUTO SDR, and processed at baseband frequency range. Regarding the input predictors to the SVM algorithm, this research proposes multi classification features, such as wavelet transform-based, spectral-based, and higher-order statistical-based features. SVM algorithm obtained a classification-rule model with 91.4% of accuracy without any optimization applied.
本研究讨论了以调制分类为目的的机器学习的实现。为了验证这一概念,我们选择了6种调制类型,即BPSK、QPSK、8-PSK、16-QAM、BFSK和8-PAM。本研究中使用的机器学习算法是支持向量机(SVM),使用MATLAB的分类学习器实现。使用ADALM-PLUTO SDR生成数据集,并在基带频率范围内进行处理。对于SVM算法的输入预测因子,本研究提出了基于小波变换的、基于谱的、基于高阶统计的多分类特征。SVM算法在未进行任何优化的情况下,得到准确率为91.4%的分类规则模型。
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引用次数: 1
Design and Fabrication Pasteurization of Fresh Milk-based on Pulsed Electric Field Technology 基于脉冲电场技术的鲜奶巴氏灭菌的设计与制造
R. V. Manurung, Y. Sulaeman, D. Kurniadi, Budhi Suharto
Pulsed electric field (PEF) is one of several food preservation methods that apply short pulses of electricity for microbial inactivation and cause a minimal detrimental effect on food quality attributes. PEF technology aims to offer high-quality foods and long-time storage to customers. PEF technology is considered superior to traditional thermal processing methods for food quality attributes because it avoids or significantly reduces detrimental changes in foods’ sensory and physical properties. This paper described designing and fabricating a new milk pasteurization system based on the pulsed electric field, namely high voltage pulse power plant, agitator, heating, control panel with temperature sensor, treatment container. Testing and characterization of each sub-system and the system as a whole have been conducted, and the test results show that the pasteurization machine is running as expected.
脉冲电场(PEF)是几种食品保鲜方法之一,它使用短脉冲电来灭活微生物,并对食品质量属性造成最小的有害影响。PEF技术旨在为客户提供高品质的食品和长期储存。PEF技术被认为在食品质量属性方面优于传统的热加工方法,因为它避免或显著减少了食品感官和物理特性的有害变化。本文介绍了一种基于脉冲电场的新型牛奶巴氏杀菌系统的设计与制造,即高压脉冲动力装置、搅拌器、加热装置、带温度传感器的控制面板、处理容器。对各子系统和系统整体进行了测试和表征,测试结果表明巴氏杀菌机运行正常。
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引用次数: 0
Toward Early Abnormalities Detection on Digestive System: Multi-Features Electrogastrogram (EGG) Signal Classification based on Machine Learning 消化系统早期异常检测:基于机器学习的多特征胃电图(EGG)信号分类
M. F. Amri, A. R. Yuliani, A. I. Simbolon, Rina Ristiana, D. E. Kusumandari
Electrogastrogram (EGG) is one of the bio-signals that can be developed as a tool for early detection of digestive abnormalities. The use of features extraction and machine learning can be applied to accelerate the development of the system detection. In this paper, five features extraction and two classifiers are used as comparative study. The feature extraction includes Mean Absolute Value (MAV), Average Amplitude Change (AAC), Waveform Length (WL), Maximum Fractal Length (MFL), and Root Mean Square (RMS). ANN and SVM were designed as the proposed classifier. There are two classes that are designed for classification, namely Fasting and Postprandial stages. From the experimental results, it was found that the highest accuracy value is acquired when using SVM classifier and used five features extraction. The classification reached 82.3% that showed significant result. From the experimental results, it is found that EGG function as early diseases detection on digestive system is very promising i.e., Covid-19 effect to digestive system.
胃电图(EGG)是一种生物信号,可以作为早期发现消化系统异常的工具。使用特征提取和机器学习可以加速系统检测的发展。本文采用五种特征提取和两种分类器进行对比研究。特征提取包括平均绝对值(MAV)、平均幅值变化(AAC)、波形长度(WL)、最大分形长度(MFL)和均方根(RMS)。采用神经网络和支持向量机作为分类器。有两类设计用于分类,即禁食和餐后阶段。从实验结果来看,使用SVM分类器并使用5个特征提取时获得的准确率值最高。分类达到82.3%,结果显著。从实验结果来看,EGG作为消化系统早期疾病检测的功能非常有前景,即Covid-19对消化系统的影响。
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引用次数: 2
Beam Steering Investigation on Multiple Antenna System using Radiation Pattern Reconfigurable Array 基于辐射方向图可重构阵列的多天线系统波束导向研究
J. Bharath, T. Sabapathy, M. Jusoh, H. Rahim, M. Kamarudin, P. Soh
In this research, a radiation pattern reconfigurable (RPR) based multiple antenna was designed using a compact combination of a driven element and parasitic elements that operates at 3.5 GHz. The proposed antenna has the ability to change the radiation behavior to serve the user with better performance. The radiation characteristic of the antenna, especially the tilt angle could be reconfigured with the use of RF switches. The multiple antenna was designed on 94.4 mm x 110 mm Rogers substrate. First, an RPR antenna that uses parasitic patch array antenna was designed as a single element. Then this RPR was deployed as 2 x 1 RPR MIMO antenna using two types of configurations. Finally, the analysis showed that the multiple antenna arrangement using configuration II provides better results in terms of steering angle and gain.
在这项研究中,采用驱动元件和寄生元件的紧凑组合设计了一种基于辐射方向图可重构(RPR)的多天线,工作频率为3.5 GHz。所提出的天线具有改变辐射行为的能力,以更好的性能为用户服务。天线的辐射特性,特别是倾斜角度可以通过射频开关重新配置。多天线设计在94.4 mm × 110 mm Rogers衬底上。首先,设计了一种采用寄生贴片阵列天线的单单元RPR天线。然后使用两种类型的配置将该RPR部署为2 × 1 RPR MIMO天线。最后,分析表明,采用构型II的多天线布置在转向角和增益方面具有更好的效果。
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引用次数: 2
Patch Antenna Gain Improvement with Metamaterial Structures 利用超材料结构改善贴片天线增益
Mouhamed Fadel Diagana, Serigne Bira Gueye
This work presents an approach for improving both the gain and the matching of a circular patch antenna using metamaterials (MTMs). It shows that with appropriate MTMs layers, a gain increase of +1.759 dB and an optimization band of 800 MHz can be achieved. In this simulation-based study, the proposed design has been realized using CST Microwave Studio. The solution proposed here is planar, simple to manufacture and has multiple applications.
本文提出了一种利用超材料(mtm)改善圆形贴片天线增益和匹配的方法。结果表明,适当的mtm层可以使增益增加+1.759 dB,优化频段为800 MHz。在这个基于仿真的研究中,所提出的设计已经在CST微波工作室中实现。本文提出的解决方案是平面的,制造简单,具有多种用途。
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引用次数: 1
Random Phase Multiple Access Network Planning for Smart City Deployment in Urban Area 面向城市智慧城市部署的随机相位多址网络规划
M. I. Nashiruddin, Maruli Tua Baja Sihotang, M. Nugraha
A smart city is an area of the town that integrates Information and Communications Technologies (ICT). It has a multitude of smart environment services, such as smart energy and utilities, smart mobility and transportation, and smart living, combined with the day-to-day municipal administration to boost efficiency, enhance public services, and better the well-being of citizens. A reliable Internet of Things (IoT) network is required to deliver and enable these features seamlessly. Therefore, based on capacity and coverage planning, this research aims to plan the Random Phase Multiple Access (RPMA) network for smart city deployment in an urban area, namely Bandung city. It is obtained that the required number of gateways for capacity planning is twelve gateways, while for coverage planning, it is only one gateway. Once the calculation results on both capacity and coverage planning are acquired, these results are then simulated using a network simulator software, Forsk Atoll. The assessment of the simulations is done in two categories: the best signal level and the overlapping zones. The simulations results show that RPMA is plausible for smart city deployment in Bandung city with the range for the signal level received is from -70 dBm to -120 dBm with an average received signal level of -59.43 dBm, while the mean value of the overlapping zone is 1.24 server.
智慧城市是融合信息通信技术(ICT)的城市区域。它拥有大量的智能环境服务,如智能能源和公用事业、智能移动和交通以及智能生活,并与日常市政管理相结合,以提高效率,加强公共服务,改善市民的福祉。需要可靠的物联网(IoT)网络来无缝交付和启用这些功能。因此,在容量和覆盖规划的基础上,本研究的目标是在一个城市区域,即万隆市,规划智能城市部署的随机相位多址(RPMA)网络。可以得到,容量规划需要12个网关,而覆盖规划只需要1个网关。一旦获得容量和覆盖规划的计算结果,然后使用网络模拟器软件Forsk Atoll对这些结果进行模拟。仿真结果的评估分为两类:最佳信号电平和重叠区。仿真结果表明,在万隆市的智慧城市部署中,RPMA是可行的,接收信号电平范围为-70 ~ -120 dBm,平均接收信号电平为-59.43 dBm,重叠区平均值为1.24 server。
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引用次数: 3
Moving Human Respiration Sign Detection Using mm-Wave Radar via Motion Path Reconstruction 基于运动路径重构的毫米波雷达运动人体呼吸信号检测
B. Rohman, M. T. Rudrappa, M. Shargorodskyy, R. Herschel, M. Nishimoto
Non-contact vital sign detection using radar mounted on a flying platform is relevant for many applications especially for search and rescue operations in post-disaster situations. However, the vital sign is weak and easily covered by the noise and clutter. In addition, a small random movement from radar and/or humans will negatively affect detection accuracy. Thus, to address this problem, this paper proposes the detection and extraction technique of vital signs of nonstationary humans by applying sequential processing employing adaptive thresholding, image processing, and principal component analysis. The proposed method aims to be applied in detecting life signs using radar on a hovering drone. To imitate this scheme, in this study, the targeted human moves back and forth randomly in front of the radar. The results obtained by millimeter-wave radar demonstrate the ability of the proposed method to detect human respiration signs.
利用安装在飞行平台上的雷达进行非接触式生命体征检测,在许多应用中具有重要意义,特别是在灾后搜救行动中。然而,生命体征很弱,很容易被噪音和杂乱所掩盖。此外,雷达和/或人类的一个小的随机运动将对探测精度产生负面影响。因此,为了解决这一问题,本文提出了采用自适应阈值处理、图像处理和主成分分析的序列处理方法来检测和提取非平稳人体生命体征的技术。该方法旨在应用于悬停无人机上的雷达探测生命体征。为了模仿这一方案,在本研究中,目标人物在雷达前随机来回移动。毫米波雷达的结果证明了该方法检测人体呼吸信号的能力。
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引用次数: 4
A Design Analysis of High Flow Rate Serial Connection Multi-Chamber Piezoelectric Micropump for Drug Delivery System 用于给药系统的大流量串联多腔压电微泵设计分析
E. D. Kurniawan, Widhya Budiawan, M. Chandra
High flow rate of Lead Zirconate Titanate (PZT) actuated serial-connection multi-chamber piezoelectric micropumps (SCMCP micropumps) design for insulin therapy system was proposed. Four chambers in serial-connection micropumps with cantilever valves were introduced. The proposed design of micropumps will be made of biocompatible and non-toxic materials to ensure its safety. The specification of the proposed design of micropumps have a high flow rate of 10.7 mL/min and a backpressure of 34.3 kPa at driving voltage Vpp 36 V and 200 Hz operating frequency, respectively. Furthermore, the micropumps design was simulated by a simulations software tool to further study the pump model. The flow rate and static stress were investigated by software simulation.
提出了用于胰岛素治疗系统的高流量锆钛酸铅(PZT)驱动串联多腔压电微泵(SCMCP微泵)设计方案。介绍了悬臂阀串联微泵的四腔结构。微泵的设计将采用生物相容性和无毒材料,以确保其安全性。所设计的微泵规格在驱动电压Vpp 36 V和工作频率200 Hz时,流量为10.7 mL/min,背压为34.3 kPa。利用仿真软件对微泵设计进行仿真,进一步研究微泵模型。通过软件仿真研究了流体流速和静应力。
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引用次数: 0
Performance Analysis of Carbon Composite Materials with VARI Method for Electromagnetic Interference Applications 电磁干扰条件下碳复合材料VARI性能分析
N. L. Muzayadah, D. Anggraeni, S. Aditya, N. Chasanah, F. Kurniawan, Agus Hendra Wahyudi, Y. Prabowo, C. E. Santosa, Jefri Abner Hamonangan, B. Setiadi
This paper presents the performance analysis of carbon composite materials with vacuum assisted resin infusion (VARI) method for electromagnetic interference shielding (EMIS) application. The structure was implemented using the VARI fabrication method and intended for shielding the synthetic aperture radar (SAR) instrument mounted on medium altitude long endurance (MALE) drone under development in Indonesian National Aerospace Agency. This structure is developed to shield and protect the radar subsystems from electromagnetic interference from other subsystems such as avionics and payload systems. The S-parameters measurements have been done in the anechoic chamber using vector network analyzer (VNA). The shielding effectiveness of the material is evaluated over 0.9 GHz and 5.3 GHz frequency bands using S11 for reflection factors and S21 for transmission factors to investigate the material characteristics. All of the material has fluctuated value. The quite stable value in 0.8–1 GHz S21 (dB) was carbon twill vinyl.
本文介绍了真空辅助树脂注入法(VARI)用于电磁干扰屏蔽(EMIS)的碳复合材料性能分析。该结构采用VARI制造方法实现,旨在屏蔽安装在印度尼西亚国家航空航天局正在开发的中高空长航时(MALE)无人机上的合成孔径雷达(SAR)仪器。这种结构被开发用来屏蔽和保护雷达子系统免受来自其他子系统如航空电子设备和有效载荷系统的电磁干扰。利用矢量网络分析仪(VNA)在消声室中进行了s参数测量。以S11为反射因子,S21为传输因子,分别在0.9 GHz和5.3 GHz频段对材料的屏蔽效能进行了评估。所有的材料都有波动的价值。在0.8-1 GHz的S21 (dB)范围内,碳斜纹布乙烯基是比较稳定的值。
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引用次数: 0
期刊
2021 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)
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