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2021 1st International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS)最新文献

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Mobile Scanning of LTE Frequency with SDR Technology 基于SDR技术的LTE频率移动扫描
Indar Surahmat, Widyasmoro, Ufi Lukman Hakim
Getting connected with acceptable performance is always a user expectation. Moreover, it is critical when network users are in a mobile position. Receiving an adequate level of signals ensures the users get a good signal to noise ratio (SNR) which then promotes good data connections. Furthermore, measuring the signal from a user perception is always important for optimizing the network coverage. This work proposes a scanning process in a range of frequency to asses the coverage. By the use of software-defined radio (SDR), the research has performed measurement in LTE frequency band 3 in a defined track in the City of Yogyakarta. With a low-cost device, some valuable information such as the actual bandwidth used and the benchmark between operators can be obtained. For instance, the measurement acquired a result that an operator leads covering the track by around 5dB.
以可接受的性能连接始终是用户的期望。此外,当网络用户处于移动位置时,这一点至关重要。接收足够水平的信号可确保用户获得良好的信噪比(SNR),从而促进良好的数据连接。此外,测量来自用户感知的信号对于优化网络覆盖总是很重要的。本工作提出了一种频率范围内的扫描过程来评估覆盖范围。通过使用软件定义无线电(SDR),该研究已在日惹市的一个定义轨道上的LTE频段3进行了测量。使用低成本的设备,可以获得一些有价值的信息,如实际使用的带宽和运营商之间的基准。例如,测量获得的结果是,操作员导致轨道覆盖约5dB。
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引用次数: 1
Automatic Feeding of Laying Hens Based on Real-Time Clock 基于实时时钟的蛋鸡自动饲喂
Rosyid Prihantoro, Y. Jusman, Dhimas Arief Dharmawan, K. Purwanto
The process of feeding laying hens in large quantities and on time manually will experience difficulties. The manual feeding method makes feeding less effective and efficient. A real-time clock (RTC)-based automated feeder for laying hens has been designed in this research. The purpose of designing a laying hens feeder is to assist breeders in automatic feeding management. This tool works by automatically feeding laying hens, which will be active at predetermined time intervals with Arduino Uno as the main system controller. Meanwhile, the RTC provides the time reading by Arduino Uno displayed on the LCD. Then, the Stepper motor functions as a feeding collection actuator and the Servo motor as a feeding valve actuator. This study revealed that the error value of one-week feeding in three feeding slots for three laying hens was 1.66% and in two feeding slots for two laying hens was 0.86%.
大量、准时人工饲养蛋鸡的过程会遇到困难。手动送料方式使送料效果和效率降低。本研究设计了一种基于实时时钟(RTC)的蛋鸡自动喂食器。设计一种蛋鸡喂料机的目的是帮助种鸡者进行自动饲养管理。该工具通过自动喂养蛋鸡来工作,蛋鸡将以Arduino Uno作为主要系统控制器,在预定的时间间隔内活动。同时,RTC提供Arduino Uno读取的时间,显示在LCD上。然后,步进电机作为进料收集执行机构,伺服电机作为进料阀执行机构。试验结果表明,3只蛋鸡3个饲喂槽1周饲养的误差值为1.66%,2个饲喂槽2只蛋鸡1周饲养的误差值为0.86%。
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引用次数: 0
Digital Sphygmomanometer for Voice-Based Blind 语音盲人数字式血压计
N. Wijaya, M. Irfan, Afdhol Athoillah
The pandemic requires everyone to do regular health checks. Accordingly, it raises concern for anyone because of the fear of being contracted to the covid-19 virus. Every medical service first checks blood pressure because it measures how strong the heart is to pump blood throughout the body. The measurement aims to determine blood pressure levels to prevent various diseases that may affect the patient's condition. Tensimeters, in general, cannot be read by blind patients, and officers in charge simply report their examination results. Therefore, the experiment intended o design a voice-based blood pressure measurement tool for visually impaired patients. Thereupon, the study used the Linear Sequential Model (LSM) method, and the results met expectations and in accordance with the calibration results like a sphygmomanometer in general. Consequently, a digital sphygmomanometer was designed with a sound output based on the ATmega328 micro controller and can be used by hospitals or self-measurement at home. This tool has an almost similar working principle as any ordinary digital sphygmomanometer using the MPX5700GP pressure sensor, which can measure pressure up to 700psi. The results are displayed on the LCD and voiced through the DFPlayer module containing sound recordings saved on a micro SD.
大流行要求每个人定期进行健康检查。因此,由于担心感染新冠病毒,任何人都感到担忧。每个医疗机构首先检查血压,因为它可以衡量心脏将血液输送到全身的能力。该测量旨在确定血压水平,以预防可能影响患者病情的各种疾病。一般来说,盲人病人看不懂张力计,负责的官员只是简单地报告他们的检查结果。因此,本实验旨在为视障患者设计一种基于语音的血压测量工具。因此,本研究采用线性序列模型(LSM)方法,结果符合预期,与血压计的校准结果基本一致。因此,设计了一种基于ATmega328微控制器的数字血压计,具有声音输出,可用于医院或家庭自行测量。该工具的工作原理与使用MPX5700GP压力传感器的普通数字血压计几乎相似,可以测量高达700psi的压力。结果显示在LCD上,并通过DFPlayer模块发声,该模块包含保存在微型SD上的录音。
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引用次数: 1
Renewable energy contribution to reach nZEB with the help of HOMER software: A case study 在HOMER软件的帮助下,可再生能源对达到nZEB的贡献:一个案例研究
W. Hamdon, Eman Ahmed Hanootie
Recent studies are directed towards achieving the goal of buildings with a net energy of zero. In Iraq, the price of energy units (kwhr) for government buildings is high and not supported. In this paper, a case study is conducted for one of these buildings (the building of the college of electronics engineering located in Mosul city north of Iraq) to reach to net-zero energy building (NZEB). The available renewable energy resources are proposed represented by solar energy. HOMER (Hybrid Optimization of Multiple Energy Resources) software is used to find the size of the grid-connected photovoltaic system to reach NZEB. The energy consumed by the building is recorded hourly for one year and the cost of the photovoltaic system and the inverter are obtained as local prices. With the help of a smart meter that can measure the bought energy from the grid and sell energy to the grid. The result showed that using 173 panels in the roof of the proposed building with an installed capacity of 71.795kw and an inverter with 75kw lead makes the cost of energy is zero over the project lifetime.
最近的研究旨在实现净能耗为零的建筑目标。在伊拉克,政府建筑的能源单位(千瓦时)价格很高,而且没有得到支持。本文以其中一栋建筑(位于伊拉克北部摩苏尔市的电子工程学院建筑)为例,对其实现净零能耗建筑(NZEB)进行了案例研究。提出了以太阳能为代表的可再生能源。采用HOMER (Hybrid Optimization of Multiple Energy Resources)软件求解光伏并网系统达到NZEB的规模。每小时记录建筑物一年的能耗,光伏系统和逆变器的成本作为当地价格获得。在智能电表的帮助下,它可以测量从电网购买的能源,并将能源出售给电网。结果表明,在拟建建筑的屋顶安装173块面板,装机容量为71.795kw,并安装一个75kw的逆变器,可使项目全寿命期内的能源成本为零。
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引用次数: 1
An Optimal Control Strategy for Improving the Output Power of a Standalone Wind Energy System 提高独立风力发电系统输出功率的最优控制策略
R. Syahputra, Sudarisman, Agus Jamal, I. Soesanti
This research provides an optimal control technique for increasing a solitary wind energy system's output power. Because of the potential for strong winds, the use of renewable energy, particularly wind turbines, is becoming more popular in Indonesia. In general, the wind turbines deployed in Indonesia are small-scale, based on the existing wind potential. A permanent magnet synchronous generator (PMSG) type generator is best suited for this tiny scale wind turbine. Because it adapts the very unpredictable wind speed, the wind turbine system implements the off-grid system. This work used a method based on maximum power point tracking (MPPT) control to increase the performance of this wind turbine system. Converters connected to PMSG generators use an MPPT control-based control technique. The perturbing and observing (PO) algorithm support this MPPT control technique. A characteristic test on a 1000-watt wind power plant running at wind speeds ranging from 3 to 10 m/s is carried out in this study. Simulink- MA TLAB software is used to simulate this performance test. The results revealed that using MPPT control on wind turbine systems can greatly increase power output.
本研究为提高孤立式风力发电系统的输出功率提供了一种最优控制技术。由于潜在的强风,可再生能源的使用,特别是风力涡轮机,在印度尼西亚越来越受欢迎。总的来说,根据现有的风力潜力,印度尼西亚部署的风力涡轮机是小规模的。永磁同步发电机(PMSG)型发电机最适合这种小型风力涡轮机。由于风力发电系统能够适应非常难以预测的风速,因此实现了离网系统。本文采用基于最大功率点跟踪(MPPT)控制的方法来提高该风力发电系统的性能。连接到PMSG发生器的转换器使用基于MPPT控制的控制技术。摄动与观测(PO)算法支持这种MPPT控制技术。本研究对某1000w风电场在3 ~ 10m /s风速范围内进行了特性试验。使用Simulink- MA TLAB软件对该性能测试进行仿真。结果表明,在风力发电系统中采用MPPT控制可以大大提高输出功率。
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引用次数: 0
Design of an Adaptive Voltage DC Power Supply using Variable Resistor's of a Boost Converter 基于升压变换器可变电阻的自适应电压直流电源设计
I. Hermawan, M. Ashari, D. Riawan
This paper proposes an adaptive voltage DC power supply design to overcome the voltage sag problem that occurs when starting an induction motor. When an induction motor is started, the inrush current drawn by the motor causes a decrease in the voltage across the grid-connected to this motor. This voltage sag can be compensated by injecting voltage into the grid. Because the voltage drop fluctuates, the injection voltage also needs to be adj usted in magnitude. Instead of using duty cycle control to obtain the appropriate voltage magnitude required, this paper proposes to use a variable resistor (VR) combination to control the output voltage of a boost converter. In this preliminary study, the voltage drop is divided into four regions, with different compensation voltage magnitudes for each region. The magnitude of the injected voltage during the voltage sag will be adjusted according to the magnitude of the voltage drop that occurs. The results of this study indicate that the voltage magnitude required to be injected into the grid can be met appropriately. The selection of the VR resistance value according to the magnitude of the voltage drop provides the appropriate inj ection voltage value as well. Further research is needed to increase the voltage area to be inj ected by the voltage from this power supply so that the voltage difference between the grid and the power supply can be reduced and produce a smaller voltage ripple.
针对异步电动机起动时出现的电压暂降问题,提出了一种自适应电压直流电源设计方案。当感应电动机启动时,电动机产生的浪涌电流使与该电动机相连的电网上的电压降低。这种电压下降可以通过向电网注入电压来补偿。由于电压降是波动的,所以注入电压的大小也需要调整。本文提出使用可变电阻(VR)组合来控制升压变换器的输出电压,而不是使用占空比控制来获得所需的适当电压幅度。在本初步研究中,将电压降划分为四个区域,每个区域的补偿电压幅度不同。电压骤降期间注入电压的大小将根据发生的电压下降的大小进行调整。研究结果表明,注入电网所需的电压值可以得到适当满足。根据压降的大小选择VR电阻值也提供了合适的注入电压值。为了减小电网与电源之间的电压差,产生较小的电压纹波,需要进一步的研究来增加该电源电压注入的电压面积。
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引用次数: 0
Optimal Power Flow With Dynamic Line Rating Using Quadratically Constrained Quadratic Program Method 基于二次约束二次规划方法的动态线路额定最优潮流
Nurdin Sugiantoro, R. S. Wibowo, V. Lystianingrum, Eki Rovianto, S. Triwijaya
This research integrates the dynamic line rating system into an optimal power flow problem. The application is to calculate the line rating using the heat balance equation based on its temperature rating. As a result, line rating that is usually static can be dynamic that makes the value higher so the system would be better. But because of this, the problem of optimal power flow becomes more difficult because of the addition of temperature variable control and heat balance equation constraint that are quite complex. The modelling also requires considering transmission losses into the Direct Current Optimal Power Flow (DCOPF) problem. This study uses a quadratically constrained quadratic program method in a direct current optimal power flow problem considering transmission losses with the integration of dynamic line rating based on the heat balance equation. Testing method are performed on IEEE 9 bus and 30 bus system. The results show that the method used can accommodate the heat balance equation and show that the integration of dynamic line rating makes the system more economical.
本研究将动态线路额定值系统整合为最优潮流问题。应用程序是根据其温度额定值使用热平衡方程来计算线路额定值。因此,通常是静态的线路额定值可以是动态的,这使得该值更高,从而使系统更好。但由于加入了较为复杂的变温控制和热平衡方程约束,使得最优潮流问题变得更加困难。该模型还要求在直流最优潮流问题中考虑传输损耗。在热平衡方程的基础上,采用二次约束二次规划方法求解考虑输电损耗的直流最优潮流问题。在ieee9总线和ieee30总线系统上进行了测试。结果表明,所采用的方法能够适应热平衡方程,并表明动态线路额定值的集成使系统更加经济。
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引用次数: 1
Identification of Herbal Leaf Types Based on Their Image Using First Order Feature Extraction and Multiclass SVM Algorithm 基于一阶特征提取和多类支持向量机算法的草本植物叶片类型图像识别
Rohmat Indra Borman, Farli Rossi, Y. Jusman, Ashrani Aizzuddin Abd. Rahni, Syahrizal Dwi Putra, A. Herdiansah
One way to increase immunity and maintain immunity can be done by consuming herbal plants. This herbal medicine is empirically believed to be useful as a cultural treasure from generation to generation. All parts of the plant can be used as medicine, one of which is the leaves. However, most people do not know the herbal leaves. This herbal leaf can actually be recognized from the characteristics of its shape. This study aims to identify types of herbal leaves using first-order feature extraction and the Multiclass Support Vector Machine (Multiclass SVM) algorithm. First-order feature extraction is able to extract features using the parameters of mean, skewness, variance, kurtosis, and entropy. Meanwhile, Multiclass SVM identifies by obtaining the optimal line in separating the data set of two classes of two-dimensional space points in order to find the maximum hyperplane in separating the data points into classes so that they can be grouped. From the test results, the identification accuracy is an average of 76%. This shows that the algorithm has been able to identify, but needs improvement.
增加免疫力和维持免疫力的一种方法是食用草本植物。根据经验,这种草药被认为是代代相传的文化瑰宝。这种植物的所有部分都可用作药物,其中之一就是叶子。然而,大多数人不知道草药叶。这种草药叶子实际上可以从它的形状特征来识别。本研究的目的是利用一阶特征提取和多类支持向量机(Multiclass Support Vector Machine,简称Multiclass SVM)算法对草药叶片进行类型识别。一阶特征提取能够利用均值、偏度、方差、峰度和熵等参数提取特征。同时,Multiclass支持向量机通过对两类二维空间点的数据集进行分离得到最优直线进行识别,从而找到将数据点划分为类的最大超平面,从而对数据点进行分组。从测试结果来看,识别准确率平均为76%。这说明该算法已经能够识别,但还需要改进。
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引用次数: 20
Cervical Precancerous Classification System based on Texture Features and Support Vector Machine 基于纹理特征和支持向量机的宫颈癌前病变分类系统
Y. Jusman, Brilian Permata Sari, S. Riyadi
Cervical cancer is one of the female reproductive health diseases being a significant issue globally because of the large number of new cases and deaths, particularly among women in developing countries. Cervical cancer can be avoided if detected early. The Pap smear screening procedure is used in industrialized nations to detect cervical cancer early. However, limited human resources, a significant time commitment, high prices, and insufficient infrastructure make it less successful in developing countries. With three types of cervical cell images: Normal, Low-grade Squamous Intraepithelial Lesion (LSIL), and High-grade Squamous Intraepithelial Lesion (HSIL), this study offers a classification system for cervical cell images using an image processing technique called Gray Level Co-occurrence Matrix (GLCM) and a Support Vector Machine (SVM) classification method (HSIL). With HSIL class as positive data and LSIL and Normal as negative data, the classification system used three SVM models: Cubic, Quadratic, and Fine Gaussian. SVM classification accuracy was 97.5 percent for 3.54s using the GLCM feature extraction approach.
宫颈癌是女性生殖健康疾病之一,是全球的一个重大问题,因为有大量新病例和死亡,特别是在发展中国家的妇女中。如果及早发现,子宫颈癌是可以避免的。在工业化国家,巴氏涂片检查被用于早期发现宫颈癌。然而,有限的人力资源、大量的时间投入、高昂的价格和不足的基础设施使其在发展中国家不太成功。本研究针对正常、低级别鳞状上皮内病变(LSIL)和高级别鳞状上皮内病变(HSIL)三种宫颈细胞图像,采用灰度共生矩阵(GLCM)图像处理技术和支持向量机(SVM)分类方法(HSIL)对宫颈细胞图像进行分类。分类系统以HSIL类为正数据,LSIL和Normal为负数据,使用三种SVM模型:Cubic, Quadratic, Fine Gaussian。使用GLCM特征提取方法,SVM分类准确率为97.5% (3.54s)。
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引用次数: 2
Stroke Severity Classification based on EEG Statistical Features 基于脑电图统计特征的脑卒中严重程度分类
Rosita Devi Kusumastuti, A. Wibawa, M. Purnomo
Stroke is one of the leading causes of death and disability in the world. Therefore, it is necessary to diagnose stroke at an early stage and provide an accurate prognostic assessment. This study attempts to classify the severity of stroke based on EEG signals by using statistical parameters of time domain features. The results of this study are expected to diagnose the severity of stroke from the parameters used in the time domain and make decisions about the next treatment steps. In this study, the EEG data was obtained from measurement to stroke patients in public hospital in the city of Kediri. From the EEG, 3 statistical features such as Mean Absolute Value (MA V), Standard Deviation (STD) and Variance were calculated. Stroke severity classes were defined as severe, moderate, and mild. The analyzed EEG frequency sub-bands were Alpha Low (8–9 Hz), Alpha High (9–13 Hz), Beta Low (13–17), and Beta High (17–30 Hz). The label for stroke severity classification as a ground truth uses the NIHSS scale which is assessed by doctors based on visual observations. The results showed that stroke severity classification can be identified by using statistical feature such as MA V, STD and Variance, with EEG sub-band frequency are Alpha Low and Alpha High for grasp motion, Beta Low and Beta High for Elbow motion, and Alpha High and Beta High for shoulder motion. This result showed the potential of using this information as a basic for determining the patient-specific rehabilitation program in the future.
中风是世界上导致死亡和残疾的主要原因之一。因此,有必要在早期诊断卒中并提供准确的预后评估。本研究尝试利用时域特征的统计参数对脑电信号进行脑卒中严重程度的分类。这项研究的结果有望从时域中使用的参数诊断中风的严重程度,并决定下一步的治疗步骤。本研究对Kediri市公立医院脑卒中患者的脑电图数据进行测量。从脑电图中计算平均绝对值(Mean Absolute Value, MA V)、标准差(Standard Deviation, STD)和方差(Variance) 3个统计特征。中风严重程度分为严重、中度和轻度。分析的脑电频率子带为Alpha Low (8 ~ 9 Hz)、Alpha High (9 ~ 13 Hz)、Beta Low(13 ~ 17)、Beta High (17 ~ 30 Hz)。中风严重程度分类的标签作为基本事实使用NIHSS量表,由医生根据视觉观察评估。结果表明,脑卒中严重程度分类可以通过MA V、STD和方差等统计特征进行识别,其中抓握动作的脑电子频次为Alpha Low和Alpha High,手肘动作的脑电子频次为Beta Low和Beta High,肩关节动作的脑电子频次为Alpha High和Beta High。这一结果显示了利用这些信息作为确定未来患者特定康复计划的基础的潜力。
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引用次数: 1
期刊
2021 1st International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS)
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