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2020 6th International Conference on Science and Technology (ICST)最新文献

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Modelization of Corium from Fukushima-Daichi Powerplant Using PANTHERE Codes 用PANTHERE程序模拟福岛第一核电站堆芯
Pub Date : 2020-09-07 DOI: 10.1109/ICST50505.2020.9732804
Rionaldy Rionaldy, A. W. Harto, S. Sivault
This study is about radioprotection in the case of the Fukushima-Daiichi Nuclear Power Plant accident that happened in 2011. It focusses on the retrieval of the corium in the core of the reactor. OAKRIDGE created a project that also responds to the international call of IRID (International Research Institute for Nuclear Decommissioning). The concept is based on the rapid pneumatic transfer of closed capsules that contain debris of corium. This project is now focused on the utilization of developed computing software that can be experimented on the dose rate of corium based on previous works. This software is called PANTHERE. With PANTHERE, we can propose multiple methods of online attenuation calculation with the dose rate (DED H*(10) in mSv/h, KERMA in the air in mGy/h,flux-dose in particles/cm2/s or energy fluencies in MeV/cm2/s). With PANTHERE, we modelized the corium and ran a corium retrieval simulation based on a point of observation to calculate the dose rate of corium inside the capsule inside the BWR Fukushima reactor. After that, we also modelized the trajectory of the capsule from when it is inside the RPV (Reactor Pressure Vessel) until when it is inside the storage system in SFP (Spent Fuel Pool). The highest dose rate given by the calculation was $3.24times 10^{-3}$ rnSv/h.
本研究是关于2011年发生的福岛第一核电站事故中的辐射防护。它的重点是回收反应堆核心的堆芯。OAKRIDGE创建了一个项目,也响应了国际核退役研究所(IRID)的国际呼吁。这个概念是基于快速气动转移封闭的胶囊,其中包含堆芯碎片。本项目目前的重点是利用开发的计算软件,在以往工作的基础上对堆芯的剂量率进行实验。这个软件叫做PANTHERE。利用PANTHERE,我们可以提出多种剂量率(DED H*(10),单位为mSv/ H,空气中的KERMA,单位为mGy/ H,通量剂量,单位为粒子/cm2/s或能量通量,单位为MeV/cm2/s)的在线衰减计算方法。利用PANTHERE对堆芯进行了建模,并基于观察点进行了堆芯回收模拟,计算了堆芯在福岛堆芯内的剂量率。之后,我们还模拟了太空舱从进入RPV(反应堆压力容器)到进入SFP(乏燃料池)储存系统的轨迹。计算得出的最高剂量率为$3.24乘以10^{-3}$ rnSv/h。
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引用次数: 0
Gait Analysis of Stunting Children Compared to Healthy Children Using 2D Video Data 利用二维视频数据分析发育迟缓儿童与健康儿童的步态
Pub Date : 2020-09-07 DOI: 10.1109/ICST50505.2020.9732840
Ibrahim Aji, A. Wibawa, S. Sumpeno
Stunting is one of the most prevalent forms of child malnutrition with estimated 22.2% children in Indonesia suffered from it. Children with stunting have shorter body height compared with normal children and usually associated with various effects, including cognition, memory, and locomotor skills. As walking is one of the locomotor skills, it is important to evaluating stunting children by their style of walk which refers to a gait. In this present study, twelve normal children and six stunting children with 2 years of age were assessed during gait trials at self-selected speed. Fifty-four gait cycles from three gait trials for all children were selected. Joint angles and angular velocity were computed using 2D video analysis. Statistical analysis was performed to find significant difference on the kinematic parameters between two groups. Based on the current results, we concluded stunting children have similar kinematic gait characteristics with normal children. Future studies should involve kinetic and spatio-temporal parameters to understand clearly the gait character
发育迟缓是儿童营养不良最普遍的形式之一,印度尼西亚估计有22.2%的儿童患有这种疾病。与正常儿童相比,发育迟缓儿童的身高较矮,通常与各种影响有关,包括认知、记忆和运动技能。由于行走是运动技能的一种,因此通过儿童的行走方式(即步态)来评价发育迟缓儿童是非常重要的。在本研究中,12名正常儿童和6名2岁的发育迟缓儿童以自我选择的速度进行步态试验。从所有儿童的三个步态试验中选择54个步态周期。利用二维视频分析计算关节角和角速度。通过统计分析发现两组的运动学参数有显著差异。基于目前的结果,我们得出结论,发育迟缓儿童与正常儿童具有相似的运动学步态特征。未来的研究应包括动力学和时空参数,以清楚地了解步态特征
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引用次数: 0
Spatio-Temporal Analysis of Post-Disaster Built-up Expansion in Banda Aceh City, Indonesia 印度尼西亚班达亚齐市灾后建筑扩张的时空分析
Pub Date : 2020-09-07 DOI: 10.1109/ICST50505.2020.9732823
I. Amri, I. W. Prabaswara, S. Giyarsih
The 2004 tsunami destroyed most of the built-up areas in the city of Banda Aceh, Indonesia. The physical development recoveries were immediately taken place to restore urban function. This study aims to identify spatio-temporal patterns of built-up expansion in the city of Banda Aceh during the recovery (2005–2009) and post-recovery period (2009–2019). Urban land cover was classified from Landsat imagery using the supervised classification method with maximum likelihood. The results indicate that the built-up area has increased from 1426 ha in 2005 to 3321 ha in 2019. The intensity of growth in the initial period was high, while the intensity in the following period has decreased significantly. Urban recovery had contributed greatly to the built-up expansion in a relatively short period of time. This study also proved the difference in the direction of expansion at the micro-scale (sub-district level) in the two periods.
2004年的海啸摧毁了印度尼西亚班达亚齐市的大部分建成区。为了恢复城市功能,立即进行了物理发展恢复。本研究旨在确定班达亚齐市在恢复期间(2005-2009年)和恢复后(2009-2019年)建成区扩张的时空格局。采用最大似然监督分类方法对Landsat影像中的城市土地覆盖进行分类。结果表明:建成区面积从2005年的1426 ha增加到2019年的3321 ha;初期生长强度较高,后期生长强度明显下降。在相对较短的时间内,城市恢复对建筑扩张作出了巨大贡献。研究还证明了两个时期在微观尺度(街道层面)的扩张方向存在差异。
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引用次数: 1
Embedded Application for Driver Drowsiness Monitoring System A Review 驾驶员困倦监测系统的嵌入式应用综述
Pub Date : 2020-09-07 DOI: 10.1109/ICST50505.2020.9732817
Susaf Noor Azhar, I. Ardiyanto, Agus Bejo
In recent years, road accident becomes one of the primary causes of death in the world. One of the main factors is the driver drowsiness. To prevent those accidents, many automobile manufacturers have installed driver assistance technology with drowsiness detection feature that controlled by a real-time embedded system. Meanwhile, researchers also have attempted to develop a better method to detect and implement a driver drowsiness monitoring system. This paper presents a state-of-the-art review of recent advancement in the field of Embedded implementation of driver fatigue detection. Each overview will focus on the implementation method using the embedded system.
近年来,道路交通事故已成为世界上主要的死亡原因之一。其中一个主要因素是司机的困倦。为了防止这些事故,许多汽车制造商已经安装了驾驶员辅助技术,该技术具有由实时嵌入式系统控制的嗜睡检测功能。与此同时,研究人员也试图开发一种更好的方法来检测和实施驾驶员困倦监测系统。本文介绍了驾驶员疲劳检测嵌入式实现领域的最新进展。每个概述将重点介绍使用嵌入式系统的实现方法。
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引用次数: 1
Gravity Disturbance Derived from Airborne Gravity and Its Geodynamics Interpretation of Sulawesi Island 苏拉威西岛航空重力扰动及其地球动力学解释
Pub Date : 2020-09-07 DOI: 10.1109/ICST50505.2020.9732783
F. Fadhilah, L. Heliani
Airborne gravity technique is more effective for geodetic and geophysical purposes especially over large and varied areas. However, the use of airborne gravity of Sulawesi Island has not been optimal, including the use of gravity disturbance data components compared to gravity anomaly data that is more commonly used. In this research, mapping of gravity disturbance was done based on airborne gravity data and subsequently was applied for interpretation of the geodynamics of Sulawesi Island region. Gravity disturbance value was obtained through the conversion of free-air anomaly. The results showed that the gravity disturbance of Sulawesi Island ranged from -206.10 to 352.58 mGal with a pattern similar to the free-air anomaly and two global models (EGM2008 and EIGEN-6C4). The difference with EGM2008 and EIGEN-6C4 was an average of -3.77 and -3.43 mGal with a standard deviation of ±26.59 and ±26.21 mGal. The large difference is probably due to a data gap and topographic area of the mountains. Map of gravity disturbance can also be used for the initial interpretation of active faults such as Palu Koro and Matano which showed a significant color deviation from the representation of significant differences in subsurface geological structures.
航空重力技术在大地测量和地球物理方面尤其适用于大范围和多变的区域。然而,苏拉威西岛航空重力数据的利用并不是最优的,包括使用重力扰动数据分量,而不是使用更常用的重力异常数据。本研究基于航空重力数据进行重力扰动制图,并将其应用于苏拉威西岛地区的地球动力学解释。通过对自由空气异常的转换得到重力扰动值。结果表明,苏拉威西岛的重力扰动范围为-206.10 ~ 352.58 mGal,与自由空气异常和EGM2008和EIGEN-6C4两种全球模式相似。与EGM2008和EIGEN-6C4的平均差异为-3.77和-3.43 mGal,标准差为±26.59和±26.21 mGal。这种巨大的差异可能是由于数据差距和山脉的地形面积。重力扰动图也可以用于Palu Koro和Matano等活动断层的初始解释,这些断层与地表下地质构造的显着差异表示存在明显的颜色偏差。
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引用次数: 0
Hybrid Remote Sensing for Estimating Timber Production and Carbon in Tropical Rainforest 热带雨林木材产量与碳的混合遥感估算
Pub Date : 2020-09-07 DOI: 10.1109/ICST50505.2020.9732844
W. Wardhana, W. Widyatmanti, E. Soraya, D. Soeprijadi, B. Larasati, D. Umarhadi, Rian Sumarto, F. Idris, Pandu Yudha Adi Putra Wirabuana
Sustainable timber production and global climate change mitigation become important issues in tropical rainforests management around the world, including Indonesia. In this case, the existence of a tropical rainforest is not only directed to stabilize wood supply but also reduce carbon emission in the atmosphere. Estimation of timber production and carbon storage in a tropical rainforest using field inventory requires long-time consuming and high cost. Therefore, an alternative method is proposed to support a more efficient forestry inventory. This study aims to evaluate the potential of remote sensing for facilitating the implementation of forest inventory in a tropical rainforest area. A hybrid approach of remote sensing using two different images resolution, i.e. medium and high was developed to estimate timber production and carbon storage with three predictor variables, namely canopy closure (C), crown diameter (D), and tree density (N). Then, a computational model was constructed from database management systems using a case-based reasoning approach. Results demonstrated that using remote sensing for tropical rainforest inventory provided a good accuracy to estimate timber production and carbon storage with Normalized Root Mean Square Error (NRMSE) around 18%. This study recorded the mean timber production in the study area was 79.91 m3ha -1 with average carbon storage by approximately 14.33 Mg ha -1. Reviewed from these findings, there was an opportunity to use a hybrid approach of remote sensing for supporting forest inventory in the tropical rainforest.
可持续木材生产和减缓全球气候变化已成为包括印度尼西亚在内的世界各地热带雨林管理的重要问题。在这种情况下,热带雨林的存在不仅是为了稳定木材供应,而且还可以减少大气中的碳排放。利用野外库存估算热带雨林木材产量和碳储量耗时长,成本高。因此,提出了另一种方法来支持更有效的林业清查。本研究旨在评价遥感在促进热带雨林地区森林清查方面的潜力。以冠层闭合度(C)、树冠直径(D)和树密度(N)为预测变量,采用中、高两种不同分辨率的混合遥感方法估算木材产量和碳储量,并利用基于案例的推理方法在数据库管理系统中构建计算模型。结果表明,利用遥感技术估算热带雨林木材产量和碳储量具有较好的精度,标准化均方根误差(NRMSE)约为18%。研究区平均木材产量为79.91 m3ha -1,平均碳储量约为14.33 Mg ha -1。从这些调查结果来看,有机会使用遥感的混合方法来支持热带雨林的森林清查。
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引用次数: 0
Linear Dislocated Time Series - Deep Neural Network for Bearing Fault Classification 线性错位时间序列-深度神经网络轴承故障分类
Pub Date : 2020-09-07 DOI: 10.1109/ICST50505.2020.9732816
Pramudyana Agus Harlianto, N. A. Setiawan, T. B. Adji
Bearing is a critical component in an induction motor. Diagnosing bearing fault is one of important task in maintenance activities. Deep learning has been applied for diagnosing bearing fault. This paper compares several dislocating methods as the input for Deep Neural Network (DNN) which will be used for classifying electric motor bearing fault. Linear Dislocated Time Series (LDTS) is proposed and evaluated for feeding (input) of Deep Neural Network. The result shows that LDTS gives the better accuracy (97.29%) compared to other dislocating methods.
轴承是感应电动机的关键部件。轴承故障诊断是维修活动中的一项重要任务。深度学习已被应用于轴承故障诊断。本文比较了几种错位方法作为深度神经网络(DNN)的输入,并将其用于电动机轴承故障分类。提出并评估了线性错位时间序列(LDTS)作为深度神经网络的输入输入。结果表明,LDTS与其他错位方法相比,准确率达到97.29%。
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引用次数: 1
Organizing Committee: ICST 2020 组委会:ICST 2020
Pub Date : 2020-09-07 DOI: 10.1109/icst50505.2020.9732818
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引用次数: 0
Estimation Soil Erosion Using MUSLE Method and TRMM Data in Mongo Watershed, Purworejo 基于MUSLE法和TRMM数据估算内蒙古蒙戈流域土壤侵蚀
Pub Date : 2020-09-07 DOI: 10.1109/ICST50505.2020.9732871
S. Y. Saputri, Sudaryatno, N. Rahardjo
The use of unbalanced land function with the ability and availability of land can increase land degradation from one of the erosion. This case in the Mongo Watershed which has a high level of soil criticism based on the data management plan of the Bogowonto 2018. This erosion can lead to decreased soil quality and loss of fertile soil, resulting in a direct impact on crop productivity. It can be minimized by doing erosion forecasts so that it can determine the appropriate mitigation. Estimate erosion by utilizing remote sensing technology and Geographic Information Systems (GIS) because the updates can be done quickly, covering a large and hard-to-reach area, and cheaper costs, so that it can be more effective and efficient. The modeling method used is the MUSLE method (Modified Universal Soil Equation). Modeling uses remote sensing data such as Sentinel 2A imagery, DEM ALOS PALSAR, and TRMM data. The use of TRMM data has improved the model through the addition of more accurate rainfall spatial information. The results of the erosion estimation in Mongo Watershed are dominated by very light and the overall erosion rate has a value from 0 to 221.483 tons/ha/yr.
利用不平衡的土地功能与土地的利用能力和可利用性可以增加土地退化的侵蚀之一。该案例发生在基于2018年波哥大数据管理计划的土壤批评程度很高的蒙戈流域。这种侵蚀会导致土壤质量下降和肥沃土壤流失,从而对作物生产力产生直接影响。可以通过进行侵蚀预报来将其最小化,以便确定适当的缓解措施。利用遥感技术和地理信息系统(GIS)估算侵蚀,因为更新可以快速完成,覆盖面积大且难以到达的区域,而且成本更低,因此可以更有效和高效。建模方法为修正通用土壤方程(MUSLE)法。建模使用遥感数据,如Sentinel 2A图像、DEM ALOS PALSAR和TRMM数据。TRMM数据的使用通过增加更精确的降雨空间信息来改进模型。蒙戈流域侵蚀估算结果以极轻为主,总体侵蚀速率为0 ~ 221.483 t /ha/yr。
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引用次数: 0
Low-cost and Simple Configuration Device-free Indoor Localization: A Review 低成本和简单配置的无设备室内定位:综述
Pub Date : 2020-09-07 DOI: 10.1109/ICST50505.2020.9732779
Dwi Joko Suroso, N. A. Siddiq, Refa Rupaksi, A. Krisnawan
This paper focuses on the review of the recent advancement and development of indoor localization focusing on device-free indoor localization (DFIL). DFIL offers more flexibility for the user or object point-of-view. The basic idea is to free the object from the device attached for localization process. The most popular technologies for DFIL are based on wireless technology. However, if we discuss the low-cost system, we have to discuss the fusion or hybrid of many sensors output data to increase accuracy. Some of the accessible technology used for these low-cost systems are wireless-based, i.e., Wi-Fi, ZigBee, radio frequency identification (RFID) and an optical-based, visible light communication (VLC). Wireless-based probably the most used in the low-cost and simple configuration of an indoor localization since the parameter used can be directly obtained from its device. The most used parameter in the wireless-based system is received signal strength indicator (RSSI), which merely the derivation of power by the distance. By this parameter, the technique such as trilateration, min-max, and RSSI database can be used as the location. In the DFIL, RSSI can be applied as the Wi-Fi -based radio map from two or more links and applying an algorithm such as the Bayes Inference, resulting in the accuracy of object tracking up to 86%. On the other hand, ZigBee applies to mesh network and need more nodes to gather more information for higher accuracy results. The RFID has advantages in no-contact, and a good accuracy even in non-line-of-sight (LoS) condition. Optical-based VLC can provide high accuracy but dependent on the light noise and shadow effect in the object. From these benefits and disadvantages of some low-cost systems, we can make the best of them by fusing the sensor or developing the hybrid system.
本文以无设备室内定位(DFIL)为重点,综述了室内定位的最新进展和发展。DFIL为用户或对象的视角提供了更大的灵活性。其基本思想是将对象从附加的设备中解放出来进行定位过程。最流行的DFIL技术是基于无线技术的。然而,如果我们讨论低成本系统,我们必须讨论多个传感器输出数据的融合或混合以提高精度。用于这些低成本系统的一些可访问技术是基于无线的,即Wi-Fi, ZigBee,射频识别(RFID)和基于光学的可见光通信(VLC)。基于无线的可能是最常用的一种低成本且配置简单的室内定位方法,因为所使用的参数可以直接从其设备中获得。在基于无线的系统中,最常用的参数是接收信号强度指标(RSSI),它仅仅是距离对功率的推导。通过该参数,可以使用三边测量、最小最大值、RSSI数据库等技术作为定位。在DFIL中,RSSI可以作为来自两个或多个链路的基于Wi-Fi的无线地图,并应用Bayes Inference等算法,使目标跟踪精度达到86%。另一方面,ZigBee适用于网状网络,需要更多的节点来收集更多的信息,以获得更高的精度结果。RFID具有无接触的优点,即使在非视距(LoS)条件下也具有良好的精度。基于光学的VLC可以提供较高的精度,但依赖于物体中的光噪声和阴影效应。从一些低成本系统的这些优点和缺点来看,我们可以通过融合传感器或开发混合系统来充分利用它们。
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引用次数: 0
期刊
2020 6th International Conference on Science and Technology (ICST)
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