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2019 16th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering最新文献

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Analysis of the IEEE 802.15.4 Protocol with Rabbit Encryption Algorithm for Industrial Applications in Oil and Gas Sector 基于兔子加密算法的IEEE 802.15.4协议在油气行业的工业应用分析
R. Gándara, M. Alaydrus
The IEEE 802.15.4 is the most common standard development protocol that is applied to the current industrial wireless sensor network. Specific standards and requirement for IWSN has been regulated by international standard organization, which consider security as one of the most important parameters that need to be considered. The encryption method is a commonly used method in data protection on a wireless sensor network system, but nevertheless there are still several limitations that need to be improved. In this work, a stream cipher Rabbit algorithm encryption was proposed as an alternative solution to securing IWSN for oil and gas industry sector. From simulation, the Rabbit algorithm with a 50% shorter key length compared to the RC4 algorithm has shown, a better-quality security algorithm of 9% for the entropy and 25.56% from minimum standard avalanche effect compare to RC4.
IEEE 802.15.4是目前应用于工业无线传感器网络的最常用的标准开发协议。IWSN的具体标准和要求已由国际标准组织制定,其中安全性是需要考虑的最重要参数之一。加密方法是无线传感器网络系统数据保护中常用的一种方法,但仍然存在一些需要改进的局限性。在这项工作中,提出了一种流密码Rabbit算法加密作为石油和天然气行业IWSN安全的替代解决方案。从仿真中可以看出,Rabbit算法的密钥长度比RC4算法短50%,熵比RC4低9%,最小标准雪崩效应比RC4低25.56%,安全性更高。
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引用次数: 1
Design of Overcharging Protection and Passive Balancing Circuits Using Dioda for Lithium-Ion Battery Management System 锂离子电池管理系统中过充保护和无源平衡电路的设计
Michael, Reza Pernandito Sujatmiko, T. Abuzairi, M. Rizkinia, T. Kurniawan
Currently, the type of battery that is widely used is a Lithium material battery. Lithium batteries have high power density than other materials, however lithium material is very toxic and dangerous, hence it requires special handling for operation. In this paper, a battery management system which can protect and do passive balancing of the battery from overcharging are carried out. The overcharging protection circuit is tested by monitoring the voltage and current values of each battery cell when it is charged, simultaneously. While the passive balancing circuit is conducted only by measuring the voltage value of each battery cell. Based on the measurements, the proposed circuit is able to protect from overcharging and to balance each battery cell at a voltage of 3.75 Volt with a charging current of 0.2 Ampere.
目前,广泛使用的电池类型是锂材料电池。锂电池具有比其他材料高的功率密度,但锂材料是非常有毒和危险的,因此需要特殊处理才能操作。本文设计了一种对蓄电池进行过充电保护和无源平衡的蓄电池管理系统。过充电保护电路是通过监测每个电池单元同时充电时的电压和电流值来测试的。而无源平衡电路仅通过测量每个电芯的电压值来进行。根据测量结果,所提出的电路能够防止过充电,并在3.75伏的电压和0.2安培的充电电流下平衡每个电池单元。
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引用次数: 6
QIR 2019 Authors Index QIR 2019作者索引
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引用次数: 0
Real-Time Classification for Cardiac Arrhythmia ECG Beat 心律失常心电跳动的实时分类
E. Ihsanto, K. Ramli, D. Sudiana
Because the ECG contains much of information regarding various heart diseases, the interpretation of an ECG is essential for monitoring heart health. Sensors, data acquisition, and pre-processing, such as filtering and denoising, can be done on a single chip. In line with that, the interpretation technique is also being developed, related to the speed of calculations and accuracy. In general, there are four stages of processing ECG information, namely, pre-processing, QRS detection, feature extraction, and classification. This paper proposes another alternative for ECG beat classification, that eliminates the pre-processing stage and combines feature extraction and classification in a single calculation stage, namely ensemble MLP. This method is expected to reduce computational costs while maintaining accuracy of 97% or more and a large number of classes, with 10 or more.
由于心电图包含了许多关于各种心脏疾病的信息,因此心电图的解释对于监测心脏健康至关重要。传感器,数据采集和预处理,如滤波和去噪,可以在单个芯片上完成。根据这一点,也正在发展与计算速度和准确性有关的解释技术。一般来说,心电信息的处理分为预处理、QRS检测、特征提取和分类四个阶段。本文提出了另一种心电心跳分类方法,即去除预处理阶段,将特征提取和分类结合在一个计算阶段,即集成MLP。该方法有望降低计算成本,同时保持97%或更高的准确率和大量的类(10个或更多)。
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引用次数: 1
Characteristics of Lead-Acid Battery Charging and Discharging Against Residential Load in Tropical Area 热带地区住宅负荷下铅酸蓄电池充放电特性研究
Syafii, Yona Mayura, Aejelina el Gazaly
Electrical system in remote areas that cannot be connected to national electricity networks can be served by installing solar based off grid system. The battery bank energy storage as an important part of off grid PV system still have challenges in renewable energy systems and hardly depend on weather conditions. This article will focus on the characteristics of lead-acid battery charging and discharging against residential loads. The research methodology used by testing the rooftop PV system for residential load useage which consists of 2 units 200 Ah battery, 1 unit off-grid inverter 1500 VA, 4 solar panels 260 Wp/unit, and vary residential AC load. The PV loading test was conducted to achieve battery average internal resistance as well as state of charge (SOC). The results of battery characteristics testing show that when clear sky during the day, the charging current is sufficient to charge batteries, so even high load such as air conditioner operated, PV generation still capable in serving loads without termination. The system will be interrupted only if the inverter current limit exceed. This battery usage characteristics can be used as a basis for further demand side management of residential load powered by PV system to improve continuity supply.
无法连接到国家电网的偏远地区的电力系统可以通过安装基于太阳能的离网系统来提供服务。电池库储能作为离网光伏系统的重要组成部分,在可再生能源系统中仍面临诸多挑战,且几乎不受天气条件的影响。本文将重点研究铅酸蓄电池在住宅负荷下的充放电特性。研究方法通过测试屋顶光伏系统对住宅负荷的利用,该系统由2个200 Ah电池单元,1个1500 VA离网逆变器单元,4个260 Wp/单元太阳能电池板和不同的住宅交流负荷组成。进行PV负载测试以获得电池的平均内阻和荷电状态(SOC)。蓄电池特性测试结果表明,当白天天空晴朗时,充电电流足以给蓄电池充电,因此即使空调等高负载运行,光伏发电仍能在服务负载时不终止。只有当逆变器电流超过限制时,系统才会中断。该电池使用特性可作为进一步对光伏供电住宅负荷进行需求侧管理的基础,以提高供电的连续性。
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引用次数: 1
Compact UWB Bandpass Filter based on Crossed Dumbbell-Stub with Notch Band using Defected Microstrip Structure 基于有缺陷微带结构的带陷波带交叉哑铃短段的紧凑型UWB带通滤波器
T. Firmansyah, G. Wibisono, E. Rahardjo
A compact ultra-wideband (UWB) bandpass filter based on cross dumbbell stub with notch band structures is proposed and implemented. This bandpass filter (BPF) structure consists of directly feed line input/output. As the novelty, the cross dumbbell stub resonator was used and it was placed at the middle of the filter structure. By using this structure, the BPF not only has a compact size but also it has a wide-passband response. To remove unnecessary radio frequency (RF) signal, the rejection (notch) band was also proposed by using a novel technique which uses U-shaped defected microstrip structure (DMS). Moreover, the DMS is constructed at the center between crossed dumbbell resonators. This notch band structure has highly independent and it can be adjusted by modifying the U-shaped structure. Therefore, the specific frequency of the notch band can be selected independently without expanded number of resonator or stub. Furthermore, this BPF is fabricated on 2D - Duroid/RT 5880 substrate with permittivity (εr) of 2.2, thickness (h) of 1.57 mm, and loss tangent tand of 0.0009. Furthermore, the measured results show that the UWB-BPF has 3-dB passband from 3.0 – 12.2 GHz, with notch band at 6.7 GHz and the notch band has attenuation −22 dB. The design structure was verified by a good agreement between simulated and measured result. Overall, the proposed filter design has excellent performance in term of insertion loss, high independent notch-band, compact size, and implementable structures.
提出并实现了一种基于陷波带结构的交叉哑铃短段超宽带(UWB)带通滤波器。这种带通滤波器(BPF)结构由直接馈线输入/输出组成。作为新颖之处,我们采用了交叉哑铃短段谐振器,并将其置于滤波器结构的中间。采用这种结构,BPF不但体积小,而且具有宽通带响应。为了消除不必要的射频信号,提出了一种采用u型缺陷微带结构(DMS)的抑制(陷波)带。此外,DMS被构造在交叉哑铃谐振器之间的中心。这种缺口带结构具有高度的独立性,可以通过修改u型结构进行调整。因此,可以独立选择陷波带的具体频率,而不需要增加谐振器或短管的数量。此外,在2D - Duroid/ rt5880衬底上制备了该BPF,其介电常数(εr)为2.2,厚度(h)为1.57 mm,损耗正切面积为0.0009。此外,测量结果表明,UWB-BPF在3.0 ~ 12.2 GHz范围内具有3db的通带,陷波带为6.7 GHz,陷波带衰减为- 22 dB。仿真结果与实测结果吻合良好,验证了设计结构的正确性。总体而言,所提出的滤波器设计在插入损耗、高独立陷波带、紧凑尺寸和可实现结构方面具有优异的性能。
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引用次数: 4
Implementation of Artificial Neural Network: Back Propagation Method on Face Recognition System 人工神经网络:反向传播方法在人脸识别系统中的实现
R. Mukhaiyar, R. Safitri
Face recognition is commonly applied to recognize an authorized personal in accessing secured personal information. Each personal owns a specific trait/feature on their face. Many researchers in this field make a pattern of the feature to analyze the characteristic of it. In this paper, author introduce a method called as an artificial neural network (ANN) to analyze and memorize the feature of the face likes how a brain work in remembering anything. Author used a back propagation (BP-ANN) approach of ANN to build a network mapping of the system. BP-ANN would equalize the ability to recognize the input pattern of task with the pattern used along the training process of the ANN. So, the percentage of the recognition process is reliable.
人脸识别通常用于识别已获授权人士在查阅受保护的个人资料时的身份。每个人的脸上都有一个特定的特征。该领域的许多研究者对其特征进行了模式化分析。本文介绍了一种人工神经网络(ANN)方法来分析和记忆人脸特征,就像大脑记忆任何东西一样。作者利用人工神经网络的反向传播(BP-ANN)方法建立了系统的网络映射。BP-ANN将识别任务输入模式的能力与神经网络训练过程中使用的模式相平衡。因此,百分比的识别过程是可靠的。
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引用次数: 8
Hyperspectral Unmixing Using L2,1 Norm and Total Variation for Material Detection on Earth’s Surface 利用L2、1范数和总变分进行地表物质探测的高光谱解混
Danan Arya Pradana, Icha Fatwasauri, M. Rizkinia
Hyperspectral imaging is often used to determine what components present in a scene of the earth’s surface. Each pixel in a hyperspectral image may contain of a pure material or a mixture of multiple materials due to the limitation of spatial resolution. To determine the abundance of each component in a pixel, a process called hyperspectral unmixing was introduced. In hyperspectral unmixing, each pixel in an image is compared to a spectral library to determine material types and their proportion in the pixel. In this study, we construct an algorithm to optimize the hyperspectral unmixing problem using L2,1 norm and Total Variation regularization to reduce reconstruction error. Specifically, our research aims to improve the unmixing results by applying L2,1 norm to impose collaborative sparsity on all pixels in the image and adding Total Variation regularization to improve the smoothness of resulting image. Our experimental results with both synthetic and real hyperspectral data show improvements in terms of lower RMSE and higher SSIM than those of other methods.
高光谱成像通常用于确定地球表面场景中存在的成分。由于空间分辨率的限制,高光谱图像中的每个像素可能包含纯材料或多种材料的混合物。为了确定像素中每个成分的丰度,引入了一种称为高光谱解混的过程。在高光谱解混中,将图像中的每个像素与光谱库进行比较,以确定材料类型及其在像素中的比例。在本研究中,我们构建了一种利用L2、1范数和全变分正则化来优化高光谱解混问题的算法,以减少重构误差。具体而言,我们的研究旨在通过使用L2,1范数对图像中的所有像素施加协作稀疏性,并添加Total Variation正则化来提高结果图像的平滑性,从而改善解混结果。我们在合成和真实高光谱数据上的实验结果表明,与其他方法相比,我们在降低RMSE和提高SSIM方面都有所改进。
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引用次数: 0
QIR 2019 List Reviewer Page QIR 2019列表审核页面
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引用次数: 0
Conserving RACH Energy Usage with Flexible Preamble Allocation for IoT Coexisting with H2H Services 物联网与H2H业务共存,节约RACH能源,灵活分配前置资源
R. Harwahyu, Yu-Yi Chu, David Sijabat, R. Cheng, R. F. Sari
Random access channel (RACH) is the first step that needs to be conducted by any devices which require data transmission in modern cellular networks. Since LTE and beyond also often used to serve IoT application due to its wide coverage and availability, conserving energy is important. This paper presents a flexible preamble allocation scheme which is applied in RACH procedure and evaluates its energy consumption. The flexible preamble allocation enables base station to fine-tune its preamble allocation, which mainly used to prioritize H2H services over IoT ones. Such access prioritization translates in more efficient signaling transmissions during RACH procedure by reducing collision. The result demonstrates that the scheme can effectively reduce energy usage compared with the standard RACH procedure with shared preamble pool.
在现代蜂窝网络中,随机接入信道(RACH)是任何需要进行数据传输的设备都需要进行的第一步。由于LTE及其他技术由于其广泛的覆盖范围和可用性而经常用于服务物联网应用,因此节能非常重要。本文提出了一种应用于RACH过程的柔性前置分配方案,并对其能耗进行了评价。灵活的前导分配使基站可以对其前导分配进行微调,主要用于H2H业务优先于IoT业务。这种访问优先级通过减少冲突转化为在RACH过程中更有效的信令传输。结果表明,与具有共享序言池的标准RACH程序相比,该方案可以有效地降低能耗。
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引用次数: 1
期刊
2019 16th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering
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