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Rancang Bangun Alat Pengukur Jarak Tempuh Lari Laun Menggunakan Sensor Inertial Measurement Unit (IMU) Berbasis Mikrokontroler
Pub Date : 2022-04-19 DOI: 10.17529/jre.v18i1.22973
Yunidar Yunidar, Yazid Yaskur, Roslidar Roslidar, Mohd. Syaryadhi
Abstrak laun ditentukan oleh wearables Global Positioning System (GPS) dan pedometer. wearables GPS tidak berfungsi dengan baik apabila digunakan kondisi indoor, Sementara pedometer pengukuran jumlah langkah tidak dapat menghitung jarak secara spesifik dikarenakan langkah kaki yang tidak konsisten. Penelitian ini bertujuan untuk merancang alat yang dapat mengukur jarak tempuh dari kegiatan lari laun menggunakan sensor Inertial Measurement Unit (IMU) dengan output percepatan linear, kemudian meredam noise pengukuran dengan menggunakan Kalman Filter . Sinyal percepatan diproses menjadi sinyal kecepatan dan sinyal kecepatan diproses menjadi sinyal jarak melalui pengintegralan. Dari hasil rancangan prototipe tersebut mampu mengukur jarak 25 m dengan error 0,78%, Abstract —Jogging is a form of trotting or running at a slow or leisurely pace. So far, the measurement of running distance is determined by wearables Global Positioning System (GPS) and pedometers. The use of wearables with GPS commonly used by joggers cannot be used in indoor conditions. In addition, the use of a pedometer for measuring the number of steps cannot calculate the specific distance due to the inconsistency of human footsteps. This study aims to design a device to measure the distance traveled in jogging. To measure the distance traveled in a run, an Inertial Measurement Unit (IMU) sensor can be used with a linear acceleration output then reduce the measurement noise by using a Kalman Filter. The acceleration signal is processed into a velocity signal and the velocity signal is processed into a distance signal through integration. From the results of the prototype design, it is able to measure a distance of 25m with an error of 0.78%, a distance of 50m with 0.53% and a distance of 75m with 0.22%.
Abstrak推出了可穿戴设备全球定位系统(GPS)和计步器。可穿戴式GPS无法与室内环境相匹配,因此长时间使用的计步器也无法与不稳定的噪音相匹配。这是一种可以通过使用线性输出的传感器惯性测量单元(IMU)来消除发射活动产生的噪声的设备,并通过卡尔曼滤波器来消除噪声。每一位员工都有自己的能力,每一位同事都有自己独立的能力。这是一个很好的例子,主要是跑了25米,误差为0.78%,摘要——慢跑是一种以缓慢或悠闲的速度小跑或跑步的形式。到目前为止,跑步距离的测量是由可穿戴设备全球定位系统(GPS)和计步器确定的。慢跑者常用的带GPS的可穿戴设备不能在室内使用。此外,由于人类足迹的不一致性,使用计步器测量步数无法计算出具体距离。本研究旨在设计一种测量慢跑行程的装置。为了测量跑步中行驶的距离,惯性测量单元(IMU)传感器可以与线性加速度输出一起使用,然后通过使用卡尔曼滤波器来降低测量噪声。加速度信号被处理成速度信号,并且速度信号通过积分被处理成距离信号。从原型设计的结果来看,它能够测量25米的距离,误差为0.78%,50米的距离为0.53%,75米的距离是0.22%。
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引用次数: 0
Mangosteen Flesh Condition Detector Based on Microwave Non-destructive Technique Using Spiral Resonator Sensor’s 基于螺旋谐振器传感器微波无损技术的山竹果肉状态检测器
Pub Date : 2022-04-19 DOI: 10.17529/jre.v18i1.23761
Cahyo Muvianto, Muhammad Afrizal G. Rasyda, Suthami Ariessaputra, K. Yuniarto, Sudi Mariyanto Al Sasongko, Budi Darmawan, Syafaruddin Ch
The mangosteen fruit has a characteristic thick skin, so it is difficult to know the condition of the flesh. Farmer can only know damage to the fruit flesh after the fruit skin had opened. Detection of the quality of the mangosteen flesh can be detected using a sensor capable of penetrating the thickness of the mangosteen rind. Flesh quality detection is carried out based on the S21 value (attenuation of mangosteen flesh value) using a portable device equipped with a sensor and capable of emitting microwaves. The S21 value of the fruit's flesh was measured using a spiral resonator that functioned as a sensor. The prototype device consists of an oscillator circuit, a power splitter, and a phase detector with 2507 MHz. Fruit flesh had divided into two conditions: damaged for fruit flesh with yellow sap or Translucent Flesh Disorder, and suitable condition for clean fruit flesh. The results showed that the fruit flesh had an average S21 value of 7.041 dB for damaged flesh and 6.007 dB for good flesh condition. The difference in the value of S21 had used as a reference for detecting the shape of the fruit flesh, with the detection threshold calculated by the Support Vector Machine, resulting in a threshold value of 6.712 dB.
山竹果实具有厚皮的特点,因此很难了解果肉的状况。农民只有在水果皮打开后才能知道水果果肉受到的损害。可以使用能够穿透山竹皮厚度的传感器来检测山竹肉的质量。使用配备有传感器并能够发射微波的便携式设备,基于S21值(山竹果肉值的衰减)进行果肉质量检测。水果果肉的S21值是使用起传感器作用的螺旋谐振器测量的。原型装置由振荡电路、功率分配器和2507MHz的鉴相器组成。果肉可分为两种情况:果肉黄液或半透明果肉紊乱受损和果肉清洁的适宜条件。结果表明,受损果肉的S21平均值为7.041dB,良好果肉条件下的S21值为6.007dB。S21的值的差异被用作检测果肉形状的参考,通过支持向量机计算检测阈值,得到6.712dB的阈值。
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引用次数: 0
Fine Tuning CNN Pre-trained Model Based on Thermal Imaging for Obesity Early Detection 基于热成像的CNN预训练模型微调用于肥胖早期检测
Pub Date : 2022-04-19 DOI: 10.17529/jre.v18i1.25100
Hendrik Leo, F. Arnia, K. Munadi
Obesity is a complex disease that causes serious impact health, such as diabetes mellitus, cardiovascular disease, cancer, and stroke. An early obesity diagnosis/ detection method is required to prevent the increasing number of obese people. This study aims to: (i) fine-tune the pre-trained Convolutional Neural Network (CNN) models to build an early detection of obesity and (ii) evaluate the model performance in terms of classifying performance, computation speed, and learning performance. The thermal images acquisition procedure was conducted with 18 normal subjects and 15 obese subjects to build a thermal images dataset of obesity. Pre-trained CNN models: VGG19, MobileNet, ResNet152V, and DenseNet201 were modified and trained using the acquired dataset as the input. The training results show that the DenseNet201 model outperformed other models regarding classifying accuracy: 83.33 % and learning performances. At the same time, the MobileNet model outperformed other models in terms of computation speed with training elapsed time: 12 seconds/epoch. The proposed DenseNet201 model was suitable for implementation as an early screening system of obesity for health workers or physicians. Meanwhile, the proposed MobileNet model was suitable for mobile applications' early detection/diagnosis of obesity.
肥胖是一种严重影响健康的复杂疾病,如糖尿病、心血管疾病、癌症和中风。为了防止肥胖人数的增加,需要一种早期的肥胖诊断/检测方法。本研究旨在:(i)对预训练的卷积神经网络(CNN)模型进行微调,以建立肥胖的早期检测;(ii)从分类性能、计算速度和学习性能方面评估模型的性能。对18名正常受试者和15名肥胖受试者进行热图像采集,构建肥胖热图像数据集。使用获取的数据集作为输入,对预训练的CNN模型:VGG19、MobileNet、ResNet152V和DenseNet201进行修改和训练。训练结果表明,DenseNet201模型的分类准确率为83.33%,学习性能优于其他模型。同时,MobileNet模型在训练时间为12秒/epoch的计算速度方面优于其他模型。提出的DenseNet201模型适合作为卫生工作者或医生的肥胖早期筛查系统实施。同时,提出的MobileNet模型适用于移动应用对肥胖的早期检测/诊断。
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引用次数: 1
Analisis Perbandingan Kinerja Sensor Jarak HC-SR04 dan GP2Y0A21YK Dengan Menggunakan Thingspeak dan Wireshark 基于Thingspeak和Wireshark的HC-SR04和GP2Y0A21YK遥感发动机对比分析
Pub Date : 2022-04-19 DOI: 10.17529/jre.v18i1.23359
I. Santoso, A. Irawan
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引用次数: 2
Mobile Robot Pendeteksi Gas Karbon Monoksida dan Metana Berbasis IoT Menggunakan Metode Finite State Machine (FSM) dan Fuzzy Logic 移动机器人一氧化碳和甲烷检测采用了Finite State Machine (FSM)和Fuzzy Logic的方法
Pub Date : 2022-04-19 DOI: 10.17529/jre.v18i1.24485
Wira Adi Winanta, Khairul Anam, Ali Rizal Chaidir
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引用次数: 2
Potential Usage of Solar Energy as a Renewable Energy Source in Petukangan Utara, South Jakarta 南雅加达Petukangan Utara地区太阳能作为可再生能源的潜在用途
Pub Date : 2021-12-30 DOI: 10.17529/jre.v17i4.22538
Eka Purwa Laksana, Yani Prabowo, S. Sujono, Rummi Sirait, Nifty Fath, A. Priyadi, M. Purnomo
Indonesia is a tropical country located on the equator. The average intensity of solar radiation in Indonesia is 4.8 kWh/m2. This makes Indonesia a country with new and ren ewable energy potential, one of which is solar panel technology. The first step that must be done in the process of installing solar panels in a place is to analyze the potential of solar energy. In this study, an analysis of the potential of solar energy as a new renewable energy source has been carried out at Budi Luhur University, North Petukangan, South Jakarta. Based on the research results, the maximum photovoltaic efficiency that can be achieved is 21.45%. During the day, the efficiency of the solar panels increases along with the ncrease in the value of the voltage obtained. However, the higher the panel temperature, the lower the efficiency of the solar panel. Therefore, a cooling system is needed to anticipate this.
印度尼西亚是一个位于赤道上的热带国家。印度尼西亚的平均太阳辐射强度为4.8 kWh/m2。这使得印尼成为一个拥有新能源和可再生能源潜力的国家,其中之一就是太阳能电池板技术。在一个地方安装太阳能板的过程中必须做的第一步是分析太阳能的潜力。在这项研究中,在南雅加达北Petukangan的Budi Luhur大学对太阳能作为一种新的可再生能源的潜力进行了分析。根据研究结果,可实现的最大光伏效率为21.45%。在白天,太阳能电池板的效率随着获得的电压值的增加而增加。然而,面板温度越高,太阳能电池板的效率越低。因此,需要一个冷却系统来预测这一点。
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引用次数: 5
Priority modeling for public urban park development in feasible locations using GIS, Intuitionistic Fuzzy AHP, and Fuzzy TOPSIS 基于GIS、直觉模糊AHP和模糊TOPSIS的可行地点城市公园开发优先级建模
Pub Date : 2021-12-30 DOI: 10.17529/jre.v17i4.23138
Arif Wicaksono
As feasible locations of public urban park in Bogor Municipality have been acquired in a previous study, decision makers are urgently needed to be informed on which locations should be prioritized for public urban park (PUP) development. Therefore, this study aggregates four multi-spatial criteria for PUP development priority modeling, namely distance to slum neighborhood, accessibility, slope, and land value. These four criteria in form of vector datasets were weighted using intuitionistic fuzzy analytical hierarchy process (IF-AHP) to consider the hesitancy, vagueness, and fuzziness might arise from experts’ judgement as well as from multi-spatial data processing. Resulted criteria weights from IF-AHP show that accessibility weight 0.261, land value weight 0.259, distance to slum weight 0.255, and slope weight 0.225, respectively. Criteria weights were inputted into fuzzy technique for order preference by similarity to the ideal solution (TOPSIS) and geographic information system (GIS) to rank location priority. Results from fuzzy TOPSIS show that very high priority class which has the biggest CCi values range (0.654-0.76) provides 0.14 km2 area of feasible PUP development scattered in 10 locations. The biggest area for feasible PUP development is generated by medium priority class (CCi values 0.439-0.546) in 26 locations and approximately area of 0.38 km2.
由于先前的研究已经获得了茂物市公共城市公园的可行位置,迫切需要决策者了解公共城市公园的优先发展位置。因此,本研究汇总了四个多空间标准,即与贫民窟社区的距离、可达性、坡度和土地价值,用于PUP发展优先级建模。利用直觉模糊层次分析法(IF-AHP)对向量数据集形式的这四个标准进行加权,以考虑专家判断和多空间数据处理可能产生的犹豫、模糊和模糊性。结果表明:可达性权重为0.261,土地价值权重为0.259,到贫民窟距离权重为0.255,坡度权重为0.225。将标准权重输入到模糊排序技术中,通过与理想解的相似性(TOPSIS)和地理信息系统(GIS)对位置优先级进行排序。模糊TOPSIS结果表明,CCi值范围最大(0.654 ~ 0.76)的非常高优先级提供了0.14 km2的可行的PUP开发面积,分布在10个地点。在26个地点(CCi值为0.439 ~ 0.546)中,可行的PUP发展面积最大,面积约为0.38平方公里。
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引用次数: 2
Interference Management with Dynamic Resource Allocation Method on Ultra-Dense Networks in Femto-Macrocellular Network 基于动态资源分配方法的超密集网络中飞蜂窝网络干扰管理
Pub Date : 2021-12-30 DOI: 10.17529/jre.v17i4.23157
M. Susanto, Sitronella Nurfitriani Hasim, H. Fitriawan
Ultra-Dense Network (UDN) which is formed from femtocells densely deployed is known as one of key technologies for 5th generation (5G) cellular networks. UDN promises for increased capacity and quality of cellular networks. However, UDN faces more complex interference problems than rarely deployed femtocells, worse on femtocells that are located on cell edge area of macrocell. Therefore, mitigating or reducing effects of interferences is an important issue in UDN. This paper focuses on interference management using dynamic resource allocation for UDN. Types of interference considered in this study are cross-tier (macrocell-to-femtocell) and co-tier (femtocellto-femtocell) interferences for uplink transmission. We consider several scenarios to examine the dynamic resource allocation method for UDN in case of femtocells deployed in the whole area of microcell and in the cell edge area of macrocell. Simulation experiment using MATLAB program has been carried out. The performance parameters that are collected from the simulation are Signal to Interference and Noise Ratio (SINR), throughput, and Bit Error Rate (BER). The obtained simulation results show that system using dynamic resource allocation method outperforms conventional system and the results were consistent for the collected performance parameters. The dynamic resource allocation promises to reduce the effects of interference in UDN.
由密集部署的毫微微小区组成的超密集网络(UDN)是第五代(5G)蜂窝网络的关键技术之一。UDN承诺提高蜂窝网络的容量和质量。然而,与很少部署的毫微微小区相比,UDN面临更复杂的干扰问题,更糟糕的是,位于宏小区的小区边缘区域的毫微微蜂窝。因此,减轻或减少干扰的影响是UDN中的一个重要问题。本文主要研究UDN中使用动态资源分配的干扰管理。本研究中考虑的干扰类型是用于上行链路传输的跨层(宏小区到毫微微小区)和共层(毫微微小区到毫微小区)干扰。在毫微微小区部署在微小区的整个区域和宏小区的小区边缘区域的情况下,我们考虑了几种场景来检查UDN的动态资源分配方法。利用MATLAB程序进行了仿真实验。从仿真中收集的性能参数是信号干扰噪声比(SINR)、吞吐量和误码率(BER)。所获得的仿真结果表明,使用动态资源分配方法的系统优于传统系统,并且所收集的性能参数的结果是一致的。动态资源分配有望减少UDN中干扰的影响。
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引用次数: 3
Performa Konfigurasi Modul Surya Seri dan Seri Paralel pada Kondisi Mismatch Karakteristik Arus-Tegangan (I-V) terhadap Daya Output 关于输出特性失联(I-V)异常条件下的并行太阳能模块的配置性能
Pub Date : 2021-12-30 DOI: 10.17529/jre.v17i4.22467
Nurlaila Amna, Ira Devi Sara, Tarmizi Tarmizi
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引用次数: 0
Feasibility Study on Electrical Properties of 20 kV Polymeric Insulator Dry Test and Rainwater Test 20kV聚合物绝缘子电气性能干式和雨水试验的可行性研究
Pub Date : 2021-12-30 DOI: 10.17529/jre.v17i4.22396
A. Syakur, Agung Nugroho, H. Hermawan
Insulator is a very important equipment in an electric power system. Ceramic insulators have been widely used to support conductors in 20 kV power lines. The problem of ceramic insulators is that they are heavy, easily contaminated on the surface and require a lot of energy in the manufacturing process. Therefore, polymer insulators were developed. This paper presents the design of an epoxy resin polymer insulator with Titanium Dioxide (TiO2) as a nanofiller. The leakage current test was carried out in a high voltage laboratory by applying an AC high voltage of 50 Hz to the insulator dry conditions and the insulator wetted by rainwater contaminants. The results of the leakage current test in dry conditions are 487.6 μA, rainwater contaminated conditions are 594.93 μA, insulation resistance in dry conditions is 2.07 G-Ohms, and contaminated conditions are 1.41 G-Ohms. Based on the test results show that the insulator leakage current increases up to 22% when the surface of the insulator is contaminated with rainwater. Meanwhile, the insulation resistance decreased by up to 32% in conditions contaminated with rainwater. The value of leakage current and insulation resistance indicates that the epoxy resin insulator with TiO2 as filler is electrically feasible to use.
绝缘子是电力系统中非常重要的设备。在20kv电力线中,陶瓷绝缘子被广泛用于支撑导体。陶瓷绝缘子的问题是它们很重,表面容易被污染,并且在制造过程中需要大量的能量。因此,聚合物绝缘体得到了发展。介绍了一种以二氧化钛(TiO2)为纳米填料的环氧树脂聚合物绝缘子的设计。漏电试验在高压实验室进行,在绝缘子干燥和被雨水污染物浸湿的条件下,施加50 Hz的交流高压。干燥条件下的泄漏电流为487.6 μA,雨水污染条件下的泄漏电流为594.93 μA,干燥条件下的绝缘电阻为2.07 g -欧姆,污染条件下的绝缘电阻为1.41 g -欧姆。试验结果表明,当绝缘子表面被雨水污染时,绝缘子泄漏电流增大22%。同时,在雨水污染的条件下,绝缘电阻降低了32%。泄漏电流和绝缘电阻值表明,以TiO2为填料的环氧树脂绝缘子在电气上是可行的。
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引用次数: 0
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