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

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Estimation of Fractional Canopy Cover of Bedul Mangrove Forest Using PlanetScope Imagery 利用PlanetScope影像估算红豆林冠层覆盖度
Pub Date : 2020-09-07 DOI: 10.1109/ICST50505.2020.9732791
S. A. Mahardhika, M. Kamal
The existence of mangrove forests has various roles for coastal ecosystems in terms of physical, biological, and chemical functions. Mangrove forests also play an important role in balancing environmental quality, neutralizing pollutants, and carbon sink in coastal environment. This study aims to (1) estimate the fractional canopy cover (Fcover) of mangroves using a semi-empirical approach utilizing PlanetScope imagery and (2) determine the accuracy of PlanetScope imagery in modeling mangrove Fcover. Field mangrove Fcover was acquired by hemispherical photography technique and calculated using CAN-EYE software. The canopy cover model was built by determining relationship between field Fcover values and PlanetScope pixel values at corresponding locations. The Normalized Difference Vegetation Index (NDVI) was used as proxy for developing the model. The results of field measurement show that mangrove Fcover in Bedul area, East Java Province, Indonesia has a value range of 1 to 66% (n = 24). The estimated canopy cover obtained from PlanetScope is dominated by a range of 44 to 85%. While the accuracy value obtained is moderate with a maximum accuracy value of 48.77%.
红树林的存在在物理、生物和化学功能方面对沿海生态系统具有各种作用。红树林在海岸带环境质量平衡、污染物中和和碳汇等方面也发挥着重要作用。本研究旨在(1)利用PlanetScope图像利用半经验方法估算红树林的冠层覆盖度(Fcover);(2)确定PlanetScope图像在红树林覆盖度建模中的准确性。采用半球面摄影技术获取红树林植被覆盖度,并用CAN-EYE软件进行计算。通过确定相应位置的field Fcover值与PlanetScope像素值之间的关系,建立冠层覆盖模型。采用归一化植被指数(NDVI)作为模型的代表。实地测量结果表明,印度尼西亚东爪哇省Bedul地区红树林覆盖度值范围为1 ~ 66% (n = 24)。PlanetScope估算的冠层覆盖度在44%到85%之间。而得到的精度值适中,最大精度值为48.77%。
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引用次数: 0
Designing an Information System Effectiveness and Efficiency Measurement Model by Modifying The Human Organization Technology-Fit Model 基于人组织技术匹配模型的信息系统有效性和效率度量模型设计
Pub Date : 2020-09-07 DOI: 10.1109/ICST50505.2020.9732780
Sala Elvira Esperanza, Subriadi Apol Pribadi
Assessing the effectiveness and efficiency of the information system remains a challenge. Based on the literature, there is no specific model for measuring the effectiveness and efficiency of the information system. This is in line with the assessment of effectiveness and efficiency information systems in the field of government service. This paper remodeling the domains and indicators of the Human Organization Technology (HOT) Fit model to measure the effectiveness and efficiency of the information system. It was designed to be used on an information system in the local government. Indicators found and developed should be matched to the object. The result of the study is the modified HOT Fit model with the elements of effectiveness and efficiency be used to measure government information systems.
评估信息系统的效力和效率仍然是一项挑战。基于文献,没有具体的模型来衡量信息系统的有效性和效率。这与评估政府服务领域信息系统的有效性和效率是一致的。本文对人类组织技术(Human Organization Technology, HOT)契合模型的领域和指标进行重构,以衡量信息系统的有效性和效率。它被设计用于地方政府的信息系统。发现和制定的指标应与目标相匹配。研究的结果是改进的HOT Fit模型,并使用有效性和效率两个要素来衡量政府信息系统。
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引用次数: 0
Green Supply Chain Performance Improvement Through Green SCOR in an Indonesian Paper Mill 通过印尼造纸厂的绿色SCOR改善绿色供应链绩效
Pub Date : 2020-09-07 DOI: 10.1109/ICST50505.2020.9732884
S. Indrawati, Nurizqi Sarinastiti
The environmental challenges that become a global issue encourages companies to be wise in running their supply chain. One of the industries required to manage the supply chain by considering environmental aspects or called green supply chain management (GSCM) is a paper mill. In Indonesia, this industry has significant increased revenues, especially in the export sector. This research is done in an Indonesian paper mill. Previous research shows that GSCM measurements in paper companies are still very limited. The Green SCOR method is very relevant because it has complex and fit criteria for supply chain context by considering environmental aspects. In this study, researchers used the integrated Green SCOR and analytic hierarchy process (AHP). AHP is used for weighting so that the results obtained were more accurate. The results show that the paper mill is in the marginal category, with a value of 41,47. Then out of 31 KPIs there are 12 KPIs that categorized as red. The red KPI shows their performance is not satisfactory so it needs improvement. The improvement program covers five activities, i.e. supplier selection and negotiation procedures, alternative fuel, eco label, provide fly ash storage and perform preventive maintenance.
环境挑战已成为一个全球性问题,这促使企业在管理供应链时更加明智。造纸厂是需要通过考虑环境因素来管理供应链或称为绿色供应链管理(GSCM)的行业之一。在印度尼西亚,这一行业的收入显著增加,特别是在出口部门。这项研究是在印度尼西亚的一家造纸厂进行的。以前的研究表明,GSCM在纸业公司的测量仍然非常有限。绿色SCOR方法是非常相关的,因为它有复杂的和合适的标准,考虑到环境方面的供应链背景。在本研究中,研究者采用了综合的Green SCOR和层次分析法(AHP)。采用层次分析法进行加权,使所得结果更加准确。结果表明,该造纸厂处于边缘类别,其值为41,47。然后在31个kpi中,有12个kpi被分类为红色。红色的KPI表示他们的表现不令人满意,需要改进。改进计划包括五个方面,即供应商选择和谈判程序、替代燃料、生态标签、提供飞灰储存和进行预防性维护。
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引用次数: 0
Applying fuzzy logic to improve the accuracy of Duval Triangle State Estimation Analysis for DGA based transformer fault classification 应用模糊逻辑提高Duval三角状态估计分析在DGA变压器故障分类中的准确性
Pub Date : 2020-09-07 DOI: 10.1109/ICST50505.2020.9732786
Teguh Handjojo Dwiputranto, N. A. Setiawan, T. B. Adji
In the electricity transmission and distribution network, power transformers are one of the most important and expensive equipment. This transformer equipment determines the availability and reliability of the power grid. Availability and reliability of transformer equipment will have a direct impact on the distribution of electricity to consumers so that it also has an impact on the financial sector. One of the most popular methods to keep the transformer from failing is to conduct dissolved gas analysis on transformer oil that is called Dissolved Gas-In-Oil Analysis (DGA). Duval's Triangle State Estimation Analysis is one of the popular DGA based methods. Because the behavior of DGA data is considered not linear, then a non-linear approach to improve the accuracy of this method is required. The purpose of this experiment is to demonstrate whether the non-linear approach based on fuzzy logic is able to provide an improvement in the accuracy of the Duval's method in diagnosing power transformer potential fault types based on DGA data. The result of this experiment shows that in overall the fuzzy logic approach increase the accuracy of 91.88% compared to the 82.90% of the original Duval's method.
在输配电网络中,电力变压器是最重要也是最昂贵的设备之一。这种变压器设备决定了电网的可用性和可靠性。变压器设备的可用性和可靠性将对消费者的电力分配产生直接影响,因此它也对金融部门产生影响。对变压器油进行溶解气体分析是防止变压器故障的一种常用方法,即油中溶解气体分析(DGA)。Duval三角状态估计分析是一种流行的基于DGA的方法。由于DGA数据的行为被认为是非线性的,因此需要采用非线性方法来提高该方法的精度。本实验的目的是验证基于模糊逻辑的非线性方法是否能够提高基于DGA数据诊断电力变压器潜在故障类型的Duval方法的准确性。实验结果表明,与原始Duval方法的82.90%的准确率相比,模糊逻辑方法总体上提高了91.88%的准确率。
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引用次数: 0
Multi-Objective Location Routing Problem with Time Windows for Cost Minimization and Customer Service Level Maximization 具有成本最小化和客户服务水平最大化的时间窗口的多目标位置路由问题
Pub Date : 2020-09-07 DOI: 10.1109/ICST50505.2020.9732826
Nararya Ahmad Dharmika, Sugandhini Cakra Maruti, S. Sakti, Anna Maria Sri Asih
Distribution is a key factor for a company's profit as it directly impacts the overall supply chain cost. Location Routing Problem (LRP) is a well-known concept to reduce facility location and vehicle costs. Currently, the time aspect has been considered a lot in LRP to bring better service levels for a company as it shows how responsive a supply chain is. In completing service level objective, time windows have been used to measure whether the delivery is successful in the planned time or not. Moreover, LRP research has been advised to take on a multiple-objective approach, which are not available much. Therefore developing and testing a model with multiple objectives such as cost and service level is at most important. The model for this specific problem is designed and tested using exact goal programming method for small-case instance, i.e. 4 distribution centers and 8 retailers. This research has brought modeling of multi-objective location routing problem with time windows to minimize the total cost and maximize the service level (MOLRPTW-SL). It gives a set of solutions for deciding the right distribution center, vehicles, and routes depending on the scenario considered. The trade-off between cost and service level is also provided.
分销是公司利润的关键因素,因为它直接影响到整个供应链的成本。定位路径问题(LRP)是一个众所周知的概念,以减少设施的位置和车辆的成本。目前,在LRP中,时间方面已经被考虑了很多,以便为公司带来更好的服务水平,因为它显示了供应链的响应速度。在完成服务水平目标时,时间窗口被用来衡量交付是否在计划时间内成功。此外,建议LRP研究采取多目标方法,而这种方法并不多见。因此,开发和测试具有多个目标(如成本和服务水平)的模型是最重要的。针对这一具体问题,采用小案例(4个配送中心和8个零售商)的精确目标规划方法对模型进行了设计和测试。本文提出了带时间窗的多目标定位路由问题建模方法,以最小化总成本和最大化服务水平为目标。它给出了一套解决方案,根据所考虑的场景来决定正确的配送中心、车辆和路线。还提供了成本和服务水平之间的权衡。
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引用次数: 0
A Study of Event Detection Methods in Eye-Tracking Based on Its Properties 基于眼动追踪特性的事件检测方法研究
Pub Date : 2020-09-07 DOI: 10.1109/ICST50505.2020.9732839
Hafzatin Nurlatifa, S. Wibirama, Rudy Hartanto
The eye is one of means of human and computer interaction. Naturally, someone will direct their gaze to interesting objects. Eye-tracking is a technology aimed at understanding the direction of human gaze. Event-detection is a process of detecting and classifying eye movements that are divided into several types. Various studies in the field of event detection play an essential role in improving the quality of eye-tracking technology. Discussion of research properties is important to see trends in event detection research and to introduce this research to new researchers. This paper reviews some properties used in eye-tracking research, especially in the field of event detection, including eye data, sampling frequency, types of video-based eye-trackers, types of stimulus, types of eye movements, and signal denoising. This paper also discusses the development of research over the past few years and the challenges faced in event detection research. This review paper can be a guide for new researchers who wish to continue research in the field of eye-tracking, especially event detection.
眼睛是人机交互的手段之一。很自然地,有人会把目光投向有趣的物体。眼球追踪是一项旨在了解人类视线方向的技术。事件检测是对眼球运动进行检测和分类的过程,眼球运动分为几种类型。事件检测领域的各种研究对提高眼动追踪技术的质量起着至关重要的作用。研究性质的讨论对于了解事件检测研究的趋势和向新研究人员介绍这一研究非常重要。本文综述了眼动追踪研究中常用的一些特性,特别是在事件检测领域,包括眼动数据、采样频率、基于视频的眼动仪类型、刺激类型、眼动类型和信号去噪。本文还讨论了近年来的研究进展以及事件检测研究面临的挑战。本文对希望在眼动追踪特别是事件检测领域继续研究的新研究者具有一定的指导意义。
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引用次数: 1
Review on Battery Energy Storage System for Power System with Grid Connected Wind Farm 并网风电场电力系统电池储能系统研究进展
Pub Date : 2020-09-07 DOI: 10.1109/ICST50505.2020.9732801
Evando Diotama, Lesnanto Multa Putranto, S. Sarjiya, R. Irnawan
Wind power has massive potency to be developed, by the fact that wind resource is more environmentally friendly than conventional non-renewable resources. However, wind power generation tends to unstable due to its intermittency. The installation of BESS (Battery Energy Storage System) on the power system which utilizes wind resource may overcome this intermittency problem. In this paper, a review on placement and sizing optimization of BESS in power system with wind farm integration has presented. The comparison of various methods indicates that placement and sizing optimization of BESS can reduce the loss. Hence the better stability can be obtained.
风力资源比传统的不可再生资源更环保,因此风力发电有巨大的潜力有待开发。然而,风力发电因其间歇性而趋于不稳定。在利用风力资源的电力系统上安装BESS(电池储能系统)可以克服这一间歇性问题。本文综述了风电场集成电力系统中BESS的布局和尺寸优化问题。各种方法的比较表明,优化BESS的布局和尺寸可以减少损耗。因此可以获得较好的稳定性。
{"title":"Review on Battery Energy Storage System for Power System with Grid Connected Wind Farm","authors":"Evando Diotama, Lesnanto Multa Putranto, S. Sarjiya, R. Irnawan","doi":"10.1109/ICST50505.2020.9732801","DOIUrl":"https://doi.org/10.1109/ICST50505.2020.9732801","url":null,"abstract":"Wind power has massive potency to be developed, by the fact that wind resource is more environmentally friendly than conventional non-renewable resources. However, wind power generation tends to unstable due to its intermittency. The installation of BESS (Battery Energy Storage System) on the power system which utilizes wind resource may overcome this intermittency problem. In this paper, a review on placement and sizing optimization of BESS in power system with wind farm integration has presented. The comparison of various methods indicates that placement and sizing optimization of BESS can reduce the loss. Hence the better stability can be obtained.","PeriodicalId":125807,"journal":{"name":"2020 6th International Conference on Science and Technology (ICST)","volume":"11 14","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113965160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
The Improvement of Character Recognition on ANPR Algorithm using CNN Method with Efficient Grid Size Reduction 基于有效网格缩减的CNN方法改进ANPR算法的字符识别
Pub Date : 2020-09-07 DOI: 10.1109/ICST50505.2020.9732877
Ahmad Mushthofa, Agus Bejo, Risanuri Hidayat
Automatic Number Plate Recognition (ANPR) is mainly divided into three steps: plate localization, character segmentation, and character recognition. Among those steps, character recognition is the most significant influencer on ANPR accuracy. One of the popular methods that have impressive performance and commonly used recently is Convolution Neural Network (CNN). However, max-pooling layers within CNN architecture are prone to lose information during the downsampling of feature maps. Our proposed method is using efficient grid size reduction, replacing the max-pooling layer to overcome the problem. To evaluate our proposed method, a dataset that contains images of number plate characters divided into 36 classes, which represent letters A - Z and numbers 0 - 9. Each class consists of 100 images as a data test and 400 images as a data train. Experiments showed that our proposed method improved accuracy from 91.51% to 93.87%, which is 2.36% better.
车牌自动识别主要分为车牌定位、字符分割和字符识别三个步骤。在这些步骤中,字符识别对ANPR的准确性影响最大。卷积神经网络(convolutional Neural Network, CNN)是目前最常用的一种具有令人印象深刻的性能的方法。然而,CNN架构中的最大池化层在特征图的下采样过程中容易丢失信息。我们提出的方法是使用有效的网格尺寸缩减,取代最大池化层来克服这个问题。为了评估我们提出的方法,我们使用了一个包含车牌字符图像的数据集,该数据集分为36类,分别代表字母a - Z和数字0 - 9。每个类由100个图像作为数据测试和400个图像作为数据训练组成。实验表明,该方法将准确率从91.51%提高到93.87%,提高了2.36%。
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引用次数: 0
Multi-Agent Formation with Size Scaling via Self-Position Feedback 基于自位置反馈的尺寸缩放多智能体形成
Pub Date : 2020-09-07 DOI: 10.1109/ICST50505.2020.9732849
Djati Wibowo Djamari, Muhamad Rausyan Fikri, Malik Athafarras, N. Maulidati, Steven Mark Levy, Abdul Dwi Nur Cahyo, Maria Anggi Octaviani, Mohammad Farhan Ramdhany, F. Triawan
This work studies formation control of Multi-Agent Systems (MASs) where its formation size is scalable via a scaling factor (scalable formation). Past works on scalable formation are limited to either fixed undirected graph or fixed directed graph with k-rooted graph condition. This work proposes a new distributed algorithm for scalable formation based on self-position feedback. When agent is assumed to be able to measure its own position, the proposed algorithm is shown to work under directed switching graph. Under directed fixed graph setting, a distributed observer is designed such that only relative position is needed in the algorithm. Spanning tree condition on directed fixed graph setting is shown to be the necessary and sufficient condition to achieve the scalable formation.
本工作研究了多智能体系统(MASs)的地层控制,其地层大小可通过缩放因子(可扩展地层)进行扩展。以往关于可伸缩形的研究仅限于固定无向图或具有k根图条件的固定有向图。本文提出了一种基于自位置反馈的分布式可扩展编队算法。当假设智能体能够测量自身位置时,该算法在有向交换图下是有效的。在有向固定图设置下,设计了一种只需要相对位置的分布式观测器。证明了有向固定图集合上的生成树条件是实现可伸缩生成的充分必要条件。
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引用次数: 0
An Augmented Reality Application for Animal Learning Media at Alian Butterfly Park 增强现实在动物学习媒体中的应用
Pub Date : 2020-09-07 DOI: 10.1109/ICST50505.2020.9732881
A. E. Permanasari, Indriana Hidayah, Faizal M. Priyowibowo, M. Hidayat, Fachrul Budi Prayoga, Intan Sulistyaningrum Sakkinah
Augmented Reality (AR) is an interactive computer program that combines real and virtual objects. In this study, we developed an AR technology that aims to educate visitors to the Alian butterfly park. The application development is based on a preliminary study to the Alian butterfly park location, there are several obstacles in the system of providing educational information to visitors, including butterfly education depending on the facilitator, in an uncertain season the butterflies result in the number of butterflies in the park having small amount, the butterfly museum collection does not display complete information because there is only the name of the butterfly and a brief explanation and the absence of interactive learning support media. Based on the problems, AR application developed packaged in the form of interactive information and educational games targeted to kindergarten to elementary school students. The development method used in this study id Feature-Driven Development. The result of this development, there are three main features developed in this application, namely, butterfly introduction game, quiz, and collecting butterfly cards. From the result of black box testing, it concludes that all the features are well functioned. Therefore, this application is ready to use. This research is limited to the features development, for further research can evaluate the developed application.
增强现实(AR)是一种结合真实和虚拟对象的交互式计算机程序。在这项研究中,我们开发了一种AR技术,旨在向游客介绍意大利蝴蝶公园。应用程序的开发是基于对阿利安蝴蝶公园位置的初步研究,在向游客提供教育信息的系统中存在几个障碍,包括蝴蝶教育依赖于促进者,蝴蝶在一个不确定的季节导致公园里的蝴蝶数量很少;蝴蝶博物馆的藏品没有展示完整的信息,因为只有蝴蝶的名字和简短的解释,没有互动学习支持媒体。针对这些问题,开发了以互动信息和教育游戏的形式包装的面向幼儿园到小学学生的AR应用程序。本研究使用的开发方法是功能驱动开发。经过这一开发,本应用程序开发了三个主要功能,即蝴蝶介绍游戏,测验和收集蝴蝶卡片。从黑盒测试的结果来看,所有功能都运行良好。因此,这个应用程序已经可以使用了。本文的研究仅限于特性开发,进一步的研究可以对已开发的应用进行评价。
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引用次数: 2
期刊
2020 6th International Conference on Science and Technology (ICST)
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