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2021 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob)最新文献

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Implementation of Circular Waveguide Band Pass Filter using Artificial Dielectric Resonator for Transverse Electric Propagation Mode 利用人工介电谐振器实现横向电传播模式的圆波导带通滤波器
Pub Date : 2021-04-08 DOI: 10.1109/APWiMob51111.2021.9435255
Barokatun Hasanah, Firilia Filiana, A. I. Ismail, A. Munir, Dina Herdiana
Waveguide is capable of working at high frequencies. The addition of a resonator to the waveguide can adjust the working frequency as desired without changing the dimensions of the waveguide. In this research, circular waveguide band pass filter was made using an artificial dielectric material as the resonator. Artificial dielectric material is a material that is not available in nature, this material is made by combining small particles of conductor with dielectric material. The response of this artificial dielectric material after becoming a resonator can change the working frequency and adjust according to the propagation mode we want. In this research, a band pass filter is made with electric transfer propagation mode. Determination of this mode affects the design of the dielectric resonator that is made so that a filter with return loss and bandwidth parameters is obtained
波导能在高频率下工作。在波导中增加谐振器可以在不改变波导尺寸的情况下根据需要调整工作频率。本研究采用人工介质材料作为谐振腔,制作了圆波导带通滤波器。人工介电材料是自然界中不存在的一种材料,这种材料是由导体的小颗粒与介电材料结合而成的。这种人造介电材料在成为谐振腔后的响应可以改变工作频率,并根据我们想要的传播方式进行调整。本研究采用电传递传播方式制作带通滤波器。该模式的确定会影响介质谐振器的设计,从而获得具有回波损耗和带宽参数的滤波器
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引用次数: 0
Planning & Simulation Analysis of 4G LTE-Advanced Mobile Network Deployment Using 2100 MHz Frequency Spectrum in Dense Urban Area: Case Study in Central Jakarta 使用2100 MHz频谱在密集城市地区部署4G LTE-Advanced移动网络的规划与仿真分析:以雅加达中部为例
Pub Date : 2021-04-08 DOI: 10.1109/APWiMob51111.2021.9435227
Pinasthika Aulia Fadhila, M. I. Nashiruddin
4G LTE-Advanced is the latest technology that supports faster connections. Many people in Indonesia are expecting this newest technology to facilitate activities related to an internet connection. Because of this, users are increasing and causing network congestion in Indonesia. The solution to this problem is the addition of frequencies on the 4G LTE-Advanced network. This research plans and simulates 4G LTE-Advanced network deployment in Central Jakarta with a frequency spectrum of 2100 MHz using a quantitative method with two approaches, capacity and coverage planning, and performance analysis of four parameters, namely, RSRP, SINR, radio bearer, and throughput. The results of this research are that network deployment in Central Jakarta requires at least 109 sites to cover all regions and users. The performance analysis results show that network deployment is feasible, with an RSRP value of −60,97 dBm, an average SINR of 3,37 dB, modulation using 16QAM with an efficiency of 2,4063, and throughput with an average of 22.258,37 kbps.
4G LTE-Advanced是支持更快连接的最新技术。许多印尼人都期待这项最新技术能促进与互联网连接有关的活动。因此,印尼的用户不断增加,导致网络拥塞。解决这个问题的方法是在4G LTE-Advanced网络上增加频率。本研究采用容量和覆盖规划两种定量方法,以及RSRP、SINR、无线电承载和吞吐量四个参数的性能分析,对雅加达中部2100 MHz频谱的4G LTE-Advanced网络部署进行了规划和模拟。这项研究的结果是,在雅加达中部部署网络至少需要109个站点才能覆盖所有地区和用户。性能分析结果表明,网络部署是可行的,RSRP值为−60,97 dBm,平均信噪比为3,37 dB,采用16QAM调制,效率为2,4063,吞吐量平均为22.258,37 kbps。
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引用次数: 0
Design of Proximity Coupled Linear Antenna Array Using Kaiser Power Weighted Function 基于Kaiser功率加权函数的近距离耦合线性天线阵列设计
Pub Date : 2021-04-08 DOI: 10.1109/APWiMob51111.2021.9435198
Hartuti Mistialustina, Chairunnisa, A. Munir
The implementation of power weighted functions in a linear antenna array is usually intended to obtain the desired antenna performance, especially the radiation pattern. This paper proposes the design of power weighted linear antenna array using Kaiser function. The challenges in the design are about choosing appropriate scheme of impedances and type of feeding network. The proposed antenna array consists of 1×8 square patches with proximity coupled feed. It is designed to operate at the X-band frequency intended for a radar application. The simulation result shows that Kaiser function utilization in linear antenna array suppresses sidelobe level (SLL) than antenna array with a uniform power distribution. The differences between obtained SLL and targeted SLL of the design is also exposed, so there must be an adjustment on Kaiser function parameter value, namely β. Based on β value of 2.0299 for 30 dB targeted SLL, the obtained SLL in the simulation is 14.93 dB.
在线性天线阵列中实现功率加权函数通常是为了获得期望的天线性能,特别是辐射方向图。本文提出了一种基于凯撒函数的功率加权线性天线阵列的设计方法。设计中的难点在于如何选择合适的阻抗方案和馈电网络类型。提出的天线阵列由1×8方形贴片组成,贴片具有接近耦合馈电。它被设计在用于雷达应用的x波段频率上工作。仿真结果表明,线性天线阵列中Kaiser函数的使用比均匀功率分布的天线阵列抑制副瓣电平(SLL)。得到的SLL与设计的目标SLL之间的差异也会暴露出来,因此必须对Kaiser函数参数值进行调整,即β。基于30db目标声噪比的β值为2.0299,仿真得到的声噪比为14.93 dB。
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引用次数: 2
The Effect of Duration Heteroscedasticity to the Bottleneck in Business Process Discovered by Inductive Miner Algorithm 持续时间异方差对归纳挖掘算法发现业务流程瓶颈的影响
Pub Date : 2021-04-08 DOI: 10.1109/APWiMob51111.2021.9435199
H. Prasetyo, R. Sarno, R. Budiraharjo, K. R. Sungkono
One way to do business process modelling is to use the process mining. Process mining links the gap between traditional model-based process analysis such as business process management simulation and data-centric analysis techniques such as machine learning and data mining. In process modelling, bottleneck conditions are often found. Bottlenecks conditions can be found in the process models generated using Process Mining applications such as ProM and Disco based on event log data. There is another alternative to find the bottleneck condition of the event log using a statistical approach. The alternative is to view the event log as an asset that can be explored without using a normative process model. This paper proposes a statistical test of heteroscedasticity in event log data. Then the heteroscedasticity test results from the event log are compared with the results of normative process modelling with the Inductive Miner algorithm using the Process Mining application. The comparison results show that the detected event log data having heteroscedasticity problems will ensure a bottleneck condition in the process model. The approach taken can be an alternative in evaluating the process model based on its event log.
进行业务流程建模的一种方法是使用流程挖掘。流程挖掘弥补了传统的基于模型的流程分析(如业务流程管理模拟)和以数据为中心的分析技术(如机器学习和数据挖掘)之间的差距。在过程建模中,经常会发现瓶颈条件。瓶颈条件可以在使用process Mining应用程序(如ProM和Disco)基于事件日志数据生成的流程模型中找到。还有另一种方法可以使用统计方法查找事件日志的瓶颈条件。另一种方法是将事件日志视为可以在不使用规范流程模型的情况下进行研究的资产。本文提出了事件日志数据异方差的统计检验方法。然后利用过程挖掘应用程序将事件日志的异方差检验结果与使用归纳Miner算法进行规范过程建模的结果进行比较。对比结果表明,检测到的具有异方差问题的事件日志数据将保证过程模型中的瓶颈条件。所采用的方法可以作为基于事件日志评估流程模型的替代方法。
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引用次数: 1
Image Reconstruction from Incomplete Frequency Information Using Yang Method 基于不完全频率信息的图像重构
Pub Date : 2021-04-08 DOI: 10.1109/APWiMob51111.2021.9435215
Ratri Dwi Atmaja, A. B. Suksmono, D. Danudirdjo, Taufiq Hidayat
In many applications, an incomplete measurement case aims to obtain the desired original signal. However, the limited measured signal causes the predicted signal not to be the same as the original signal. A reconstruction technique is needed to improve the predicted signal. In this paper, we apply the Yang method for signal reconstruction from incomplete measurement, i.e. image reconstruction from incomplete frequency information. Low-high resolution patches of training images are learned to produce an overcomplete dictionary. Then the overcomplete dictionary is used to predict high-resolution patches on the testing images. Each testing images are targeted to reach the smallest RMSE. To obtain the smallest RMSE, each testing images have different conditions of variables, coming from the iteration number, the number of training images, and patch factor value. 0.3512 is the greatest RMSE improvement when comparing the smallest RMSE to the RMSE of the dirty image.
在许多应用中,不完全测量的目的是获得所需的原始信号。然而,有限的测量信号导致预测信号与原始信号不相同。需要一种重构技术来改善预测信号。本文将杨氏方法应用于不完全测量的信号重构,即不完全频率信息的图像重构。通过学习低分辨率的训练图像片段来生成一个过完整的字典。然后使用过完备字典预测测试图像上的高分辨率斑块。每个测试图像的目标是达到最小的RMSE。为了获得最小的RMSE,每个测试图像具有不同条件的变量,分别来自迭代次数、训练图像数量和patch因子值。当将最小的RMSE与脏图像的RMSE进行比较时,0.3512是最大的RMSE改进。
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引用次数: 1
A Compact Slotted Patch Antenna Design for Multiband Applications 多波段应用的紧凑型开槽贴片天线设计
Pub Date : 2021-04-08 DOI: 10.1109/APWiMob51111.2021.9435241
Md. Moklesur Rahman, H. Ryu, Md. Najmul Hossain
Wireless communication systems are operated in each different frequency band. Also, it will be much comfortable and convenient for the single device of small size to be able to cover the multiple functions. Therefore, in this paper, a compact multi-band slotted circular patch antenna is designed and presented for the next generation wireless and cellular applications whose overall dimension is $mathbf{15x12x1.6}$ [mm]. In this paper, triple band circular antenna with triangular slot patch is presented, which can operate in the Ku-band, Ka-band and mm-wave frequency bands of 5G mobile service applications. The antenna is designed to operate in the frequency ranges 16.593-18.08[GHz], 23.42-25.64[GHz] for satellite communication, radar application and 27.7-29 [GHz] for 5G mm-wave services. The first band presents in the Ku-band and the second presents in the Ka-band respectively. The maximum gain of the proposed antenna is 8.478 dB and the maximum efficiency is 89.34%.
无线通信系统在每个不同的频带中运行。而且,小尺寸的单个设备能够覆盖多种功能,将会更加舒适和方便。因此,本文设计并提出了一种用于下一代无线和蜂窝应用的紧凑型多频段开槽圆形贴片天线,其总体尺寸为$mathbf{15x12x1.6}$ [mm]。本文提出了一种三角形缝隙贴片的三频带圆形天线,可以在5G移动业务应用的ku波段、ka波段和毫米波频段工作。该天线设计工作频率范围为16.593-18.08[GHz], 23.42-25.64[GHz],用于卫星通信和雷达应用,27.7-29 [GHz]用于5G毫米波业务。第一波段出现在ku波段,第二波段出现在ka波段。该天线的最大增益为8.478 dB,最大效率为89.34%。
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引用次数: 2
Men and Women Classification at Night Through the Armpit Sweat Odor using Electronic Nose 利用电子鼻对男女腋下汗液气味进行夜间分类
Pub Date : 2021-04-08 DOI: 10.1109/APWiMob51111.2021.9435273
Irzal Ahmad Sabilla, Doni Putra Purbawa, R. Sarno, A. Fauzi, D. Wijaya, Rudy Gunawan
Sweating at night can be an indication that there is a disturbance in the human metabolic system. Sweat itself is a substance that is unused in the body or the result of human excretion. The sweat glands are scattered in all parts of the body, but mostly in three locations: armpits, palms, and feet. Several kinds of research related to sweat and Electronic Nose (E-Nose) have also been studied. The study used a patch to absorb sweat and proved the presence of nicotine content from a smoker. However, the previous research has not focused on human sweat at night for potential disease. This paper aims to propose a system to distinguish men and women at night through the armpit sweat odor using Taguchi Gas Sensors (TGS) and SHT15. Researchers found four significant sensors for further investigation: TGS 822, TGS 826, TGS 833, and TGS 2620. This study obtained a total of 165 armpit sweat data, which have been processed and adjusted for this case into 25 data, 12 men (ME) and 13 women (WO). Several classification models are implemented, such as Support Vector Machine (SVM), Naïve Bayes (NB), and Decision Tree (DT) with accuracy 92.30%, 96.15%, and 84.62%, respectively. Based on the highest accuracy and the Volatile Organic Compounds (VOC) measurement, women are more likely to suffer from several diseases than men, such as leukemia.
晚上出汗可能表明人体代谢系统出现了紊乱。汗液本身是一种在体内未被利用的物质,或者是人体排泄的结果。汗腺分布在身体的各个部位,但主要集中在三个部位:腋窝、手掌和脚。与汗水和电子鼻(E-Nose)相关的几种研究也被研究过。该研究使用贴片来吸收汗水,并证明吸烟者体内存在尼古丁含量。然而,之前的研究并没有关注人类夜间出汗的潜在疾病。本文旨在提出一种利用田口气体传感器(TGS)和SHT15通过腋臭气味来区分男性和女性的系统。研究人员发现了四种值得进一步研究的重要传感器:TGS 822、TGS 826、TGS 833和TGS 2620。本研究共获得165份腋窝汗液数据,并针对本病例进行处理调整为25份数据,12名男性(ME)和13名女性(WO)。实现了支持向量机(SVM)、Naïve贝叶斯(NB)和决策树(DT)等几种分类模型,准确率分别为92.30%、96.15%和84.62%。根据最高的准确性和挥发性有机化合物(VOC)的测量,女性比男性更容易患几种疾病,如白血病。
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引用次数: 2
Optimizing Process Discovery Quality Criteria and Model Measurements using Receiver Operating Characteristic Analysis and Infrequent Inductive Miner 利用接收机工作特性分析和非频繁感应挖掘优化过程发现质量标准和模型测量
Pub Date : 2021-04-08 DOI: 10.1109/APWiMob51111.2021.9435217
R. Budiraharjo, H. Prasetyo, R. Sarno, K. R. Sungkono
Generating process models that reflect close behavioral resemblance to the actual process Standard Operating Procedure (SOP) in process mining can be challenging without taking the four quality criteria of process discovery into account. The four quality criteria, i.e. fitness, precision, generalization, and simplicity, should be well balanced in order to produce proper process models which are aligned to the real-life executions. This paper proposes a method to optimize process discovery quality criteria (PDQC) by implementing different thresholds and analyzing calculation results using Receiver Operating Characteristic (ROC) curve and Infrequent Inductive Miner algorithm. This paper sets up two experiments with different scenarios to measure the calculations of quality criteria and the quality of generated models. The experiments compare two SOPs to the process models discovered by Infrequent Inductive Miner algorithm; hence the SOPs serve as references to determine the generated models quality. The purpose of applying two different scenarios in the experiments is to discover how well the Infrequent Inductive Miner thresholds can produce predictive models under these two different scenarios circumstances. This paper has been successful in predicting the best-fit model in reference to the SOPs by optimizing the four quality criteria of process discovery using ROC thresholds settings and by using infrequent inductive miner algorithm for models generation, and also in improving the accuracy of models measurements. The accuracy rate of the prediction model from Experiment 1 is 83%, while Experiment 2 yields an accuracy rate of 88%. The most optimal threshold settings to generate the best model in this paper are threshold 0.4 in Experiment 1 and threshold 0.5 in Experiment 2.
如果不考虑过程发现的四个质量标准,在过程挖掘中生成反映与实际过程标准操作程序(SOP)行为相似的过程模型可能是具有挑战性的。四个质量标准,即适应性、精确性、泛化和简单性,应该得到很好的平衡,以便生成与实际执行相一致的适当流程模型。本文提出了一种利用Receiver Operating Characteristic (ROC)曲线和infrequency inductminer算法实现不同阈值并分析计算结果的工艺发现质量准则(PDQC)优化方法。本文设置了两个不同场景的实验来衡量质量标准的计算和生成的模型的质量。实验比较了两种标准操作程序与非频繁感应Miner算法发现的过程模型;因此sop可以作为确定生成模型质量的参考。在实验中应用两种不同场景的目的是发现在这两种不同的场景情况下,不频繁感应挖掘器阈值可以产生预测模型的效果。本文通过使用ROC阈值设置优化过程发现的四个质量标准,并通过使用不频繁的归纳矿工算法进行模型生成,以及提高模型测量的准确性,成功地预测了参考sop的最佳拟合模型。实验1的预测模型准确率为83%,而实验2的准确率为88%。本文生成最佳模型的最优阈值设置为实验1中的阈值0.4和实验2中的阈值0.5。
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引用次数: 0
Deep Neural Network with Hyperparameter Tuning for Detection of Heart Disease 基于超参数整定的深度神经网络心脏病检测
Pub Date : 2021-04-08 DOI: 10.1109/APWiMob51111.2021.9435250
Fathania Firwan Firdaus, H. A. Nugroho, I. Soesanti
Heart disease causes the most deaths in the world with around 17.89 million people dying each year. Detecting heart disease at an early stage is needed so that further action can be done on the patient. Many researchers have conducted studies about computer-assisted diagnosis system for heart disease. This research presents a heart disease detection method using a deep neural network with hyperparameter tuning. Hyperparameter tuning is done using grid search, random search, and Bayesian optimization. In terms of tuning time, random search spends less time than Bayesian optimization and grid search. In terms of classification performance results, Bayesian optimization produces higher accuracy than grid search and random search. The classification performance of DNN with Bayesian optimization on the testing resulted in an accuracy of 91.67%, a sensitivity of 95.83%, a specificity of 88.89%, a precision of 85.19%, an F1-score of 90.20%, and an AUC value of 0.9514. It indicates that DNN with Bayesian optimization is preferable to be used in detecting heart disease.
心脏病是世界上死亡人数最多的疾病,每年约有1789万人死于心脏病。需要在早期阶段发现心脏病,以便对患者采取进一步的行动。许多研究者对计算机辅助心脏病诊断系统进行了研究。提出了一种基于超参数整定的深度神经网络的心脏病检测方法。超参数调优是使用网格搜索、随机搜索和贝叶斯优化完成的。在优化时间方面,随机搜索比贝叶斯优化和网格搜索花费更少的时间。在分类性能结果上,贝叶斯优化比网格搜索和随机搜索具有更高的准确率。经贝叶斯优化后的DNN分类准确率为91.67%,灵敏度为95.83%,特异性为88.89%,精密度为85.19%,f1评分为90.20%,AUC值为0.9514。结果表明,基于贝叶斯优化的深度神经网络更适合用于心脏疾病的检测。
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引用次数: 6
Design and Implementation RTOS (Real Time Operating System) as a Nano Satellite Control for Responding to Space Environmental Conditions 响应空间环境条件的纳米卫星实时操作系统的设计与实现
Pub Date : 2021-04-08 DOI: 10.1109/APWiMob51111.2021.9435247
Agus Cahya Ananda Yoga Putra, H. Wijanto, Edwar
Satellite is a technology that has a very rapid development, as evidenced by the variety of missions and sizes of satellites, one of which is nano satellites. The development of satellites is influenced by the complex space conditions and the potential for the development of satellites that can be applied to facilitate human life such as weather monitoring and communication systems. OBDH is a subsystem that is the control center of a satellite that builds coordination between subsystems and the process of retrieving some housekeeping sensor data, it makes the work of OBDH to be complex at the same time so that it requires an operating system capable of managing all the resources contained in the satellite. This subsystem functions as the main control for the nano satellite system, the OBDH subsystem is designed to use a microcontroller based on the Arm Cortex M4 type STM32F446RE as the main controller. The subsystem implements (Real Time Operating System) RTOS based on Mbed OS as the Operating System (OS) in the OBDH subsystem, this OS was chosen so that the system can run more efficiently in accordance with the advantages of RTOS.
卫星是一项发展非常迅速的技术,卫星的各种任务和大小都证明了这一点,其中一种是纳米卫星。卫星的发展受到复杂空间条件和卫星发展潜力的影响,这些潜力可用于促进诸如天气监测和通信系统等人类生活。OBDH是一个子系统,是卫星的控制中心,它建立子系统之间的协调和检索一些内务传感器数据的过程,这使得OBDH的工作同时变得复杂,因此它需要一个能够管理卫星中包含的所有资源的操作系统。该子系统作为纳米卫星系统的主控模块,OBDH子系统采用Arm Cortex M4型STM32F446RE单片机作为主控模块。该子系统在OBDH子系统中实现了基于Mbed操作系统的(Real Time Operating System) RTOS作为操作系统(Operating System),选择基于Mbed操作系统的RTOS是为了充分利用RTOS的优点,使系统能够更高效地运行。
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引用次数: 2
期刊
2021 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob)
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