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2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)最新文献

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Simulation and Experimental Analysis of Indoor Localization Systems 室内定位系统仿真与实验分析
A. Alhammadi, F. Hashim, M. Rasid, Saddam Alraih, Abdullah Aquhali
Indoor localization systems, especially its accuracy, have become a major topic in recent research. Moreover, location-based services have been used in many mobile applications and wireless sensor networks. High accuracy and fast convergence are crucial requirements for a good localization system. However, the type of obtained received signal strength (RSS) data is vital to obtain high accuracy. In this paper, we perform a simulation and an experimental analysis for an indoor localization system. Moreover, 2D and 3D localization models are considered to investigate the localization error. The simulation is de veloped to provide an accurate RSS compared with an experimental testbed by considering the multiwall path loss model. Results demonstrate that the simulated RSS data are consistent with the experimental RSS data; that is, the simulated data almost have same distribution form as the experimental data. Therefore, the simulation can be used to develop high-accuracy localization systems.
室内定位系统,尤其是其精度问题,已成为近年来研究的热点。此外,基于位置的服务已经在许多移动应用程序和无线传感器网络中使用。高精度和快速收敛是一个好的定位系统的关键要求。然而,获得的接收信号强度(RSS)数据的类型对于获得高精度至关重要。本文对室内定位系统进行了仿真和实验分析。此外,还考虑了二维和三维定位模型来研究定位误差。在考虑多壁路径损耗模型的情况下,通过与实验试验台的比较,建立了仿真模型,以提供准确的相对导向比。结果表明,模拟RSS数据与实验RSS数据吻合较好;即模拟数据与实验数据几乎具有相同的分布形式。因此,该仿真可用于开发高精度定位系统。
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引用次数: 1
2D Heat Distribution Mapping of Monocrystalline Type Photovoltaic Placed in Universitas Budi Luhur Jakarta 雅加达Budi Luhur大学单晶型光伏的二维热分布图
Eka Purwa Laksana, Yani Prabowo, Sujono, Rummi Sirait, Nifty Fath, A. Priyadi, V. Lystianingrum, M. Purnomo, I. Riyanto
Due to exposure to direct sunlight, rooftop PV panels often suffers from heating. Performance of monocrystalline photovoltaic (MCPV) cell/panel is affected by its thermal properties, therefore, this research aims to measure the performance of MCPV through 2-dimensional heat mapping to determine the most efficient cooling scheme for the PV to maintain its most optimum performance. The measurement, mapping, and calculation is conducted on an array of experimental rooftop PV panel installed on a building, heat mapping data is taken from 55 points on PV surface. Measurement result shows that the high temperature of the MCPV panel is around 58,6oC - 64,7oC. Based on the results, the recommendation of temperature sensor placement for the cooling process is located at point 23 and 47.
由于暴露在阳光直射下,屋顶光伏板经常受到加热的影响。单晶光伏(MCPV)电池/面板的性能受到其热性能的影响,因此,本研究旨在通过二维热成像来测量MCPV的性能,以确定最有效的冷却方案,使PV保持其最佳性能。对安装在建筑物上的一组实验性屋顶光伏板进行测量、测绘和计算,热图数据取自光伏表面的55个点。测量结果表明,MCPV面板的高温在58.6℃~ 64.7℃之间。根据结果,建议冷却过程的温度传感器位置位于点23和47。
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引用次数: 0
Method for Linear Satellite Pay Television Censor Inappropriate Movie Scene in Indonesia 线性卫星付费电视审查印度尼西亚不适当电影场景的方法
Ariesta Satryoko, A. I. Munandar
To censor an inappropriate scene in a movie take a long time to process. The aim of this research is to design and to implement a working tested faster model of a censor system compared to a censor using a video editing method. This method demonstrates a Linear Satellite Pay Television Direct to Home, so it will be able to censor for an Inappropriate movie scene such as porn, violence, and radicalize content effectively and efficiently. Censor system becomes easy to implement without cutting and re-render the original movie file, and faster compare to re-encode the movie file. Satellite Pay Television operator can easily censor its content and align with Indonesian Broadcasting Law Number 44 2008 about pornography. We create the application to shorten the process of the re-encodes after censoring the inappropriate scene in a movie called Vlarm.
审查电影中不合适的场景需要很长时间。本研究的目的是设计和实现一个工作测试更快的模型的审查系统相比,使用视频编辑方法的审查。这种方法演示了一个直接到家庭的线性卫星付费电视,因此它将能够审查不适当的电影场景,如色情,暴力,并有效地激进内容。审查系统变得易于实现,无需剪切和重新渲染原始电影文件,并且比重新编码电影文件更快。卫星付费电视运营商可以很容易地审查其内容,并符合印尼广播法2008年第44号关于色情。我们创建的应用程序,以缩短重新编码的过程后,审查不适当的场景,在电影名为Vlarm。
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引用次数: 0
Voting-Based Music Genre Classification Using Melspectogram and Convolutional Neural Network 基于投票的音乐类型分类——基于melspectrum和卷积神经网络
S. Sugianto, S. Suyanto
The music genre is a categorical label created by humans to describe music. Huge digital music nowadays makes the classification process manually requires much effort and time. Hence, an automatic system that is capable of classifying musical genres is needed. Most systems are commonly developed using Mel Frequency Cepstral Coefficients (MFCC) but they give low accuracies. A new system is proposed here using Melspectogram and Convolutional Neural Network (CNN) with a voting scheme. The Melspectogram provides a better representation than MFCC since it gives various information about music, such as frequency, time, amplitude, etc. It is used as an input for training CNN to develop some unique patterns in each musical genre. Evaluation on the GTZAN dataset shows that the proposed system is capable of predicting music genres, where voting scheme produces a higher accuracy of 71.87% than the commonly used single scheme that gives an accuracy of 63.49%.
音乐类型是人类创造的用来描述音乐的分类标签。如今庞大的数字音乐使得手工分类过程需要耗费大量的精力和时间。因此,需要一种能够对音乐类型进行分类的自动系统。大多数系统通常使用Mel频率倒谱系数(MFCC)开发,但它们的精度较低。本文提出了一种基于melspectrum和卷积神经网络(CNN)的投票系统。melspectrum提供了比MFCC更好的表示,因为它提供了关于音乐的各种信息,如频率、时间、幅度等。它被用作训练CNN的输入,以在每种音乐类型中开发一些独特的模式。对GTZAN数据集的评估表明,所提出的系统能够预测音乐类型,其中投票方案的准确率为71.87%,高于常用的单一方案的准确率为63.49%。
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引用次数: 20
Designing a Sustainable Green Accounting System Based on Enterprise Resource Planning for Leather Tanning Industry 基于企业资源规划的皮革制革行业可持续绿色会计体系设计
Muhammad Rasyid Ridho Tobing, Ari Yanuar Ridwan, M. Saputra
This study designs a Supply Chain Management (SCM) system using Enterprise Resource Planning (ERP) based on a green accounting module. ERP is an information system that can integrate, monitor, and record every process and transaction in the company. This study also uses literature related to the application of environmental quality management and green standards in Indonesia. The result of this study is an ERP system design using open source software and green accounting modules and will integrate cost, environmental, and social aspects to enhance sustainable industry and increase its value. This study resulted in several user requirements, system requirements, and made into the proposed business process design. Then, the system designed will be developed and will be implemented if needed by the user of the system.
本研究设计了一个基于绿色会计模块的企业资源计划(ERP)供应链管理系统。ERP是一个信息系统,可以集成、监控和记录公司的每一个流程和交易。本研究还使用了与印尼环境质量管理和绿色标准应用相关的文献。本研究的结果是一个ERP系统设计使用开源软件和绿色会计模块,并将整合成本,环境和社会方面,以促进可持续发展的产业和增加其价值。本研究产生了若干用户需求、系统需求,并制成了建议的业务流程设计。然后,将设计的系统进行开发,并在系统用户需要时实施。
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引用次数: 3
Usability Testing based on System Usability Scale and Net Promoter Score 基于系统可用性量表和净推荐值的可用性测试
Ginanjar Wiro Sasmito, L. Zulfiqar, M. Nishom
In a variety of software development methods and their models of the activity process, no one does not have testing activities in their application. System testing is the last phase of testing that done by the developer in the internal work- space. However, phase of testing is not the end of the whole testing phase, since there is another stage to pass before the product deployment process, it is the acceptance testing. A popular method to perform the user acceptance testing is the usability testing, which in this method, the result provides the indication of the essential quality for the client to decide whether to approve or to deny the product. In this research of paper, we are going to do the usability testing by utilizing the System Usability Scale technique and the Net Promoter Score technique to measure appropriateness of the population information systems in the city of Tegal while we are also finding optimum testers required using the sampling technique. The result we earn trough this research is according to the Usability Testing result the proposed system developed by researchers is better than the current running system and the total testers participating on system testing is able to optimize using the sampling method.
在各种软件开发方法及其活动过程模型中,没有人在其应用程序中不具有测试活动。系统测试是开发人员在内部工作空间中完成的测试的最后阶段。然而,测试阶段并不是整个测试阶段的结束,因为在产品部署过程之前还有另一个阶段要通过,那就是验收测试。可用性测试是执行用户验收测试的一种常用方法,在这种方法中,结果为客户决定是否批准或拒绝产品提供了基本质量的指示。在本文的研究中,我们将利用系统可用性量表技术和净推荐值技术进行可用性测试,以衡量泰加尔市人口信息系统的适当性,同时我们也将使用抽样技术寻找所需的最佳测试人员。通过本研究得出的结果是,根据可用性测试结果,研究人员开发的系统优于当前运行的系统,并且参与系统测试的测试人员总数可以通过抽样方法进行优化。
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引用次数: 20
Fog Computing Concept Implementation in Work Error Detection System of The Industrial Machine Using Support Vector Machine (SVM) 基于支持向量机的雾计算概念在工业机械工作误差检测系统中的实现
J. Rusman, Z. Tahir, A. Salam
The implementation of industry 4.0 to integrate various infrastructures is inseparable from the application of sensors, which is then followed by intensive data analysis. One form of the applications is the work error detection system for the industrial machine with the Fog Computing concept. In this study, the Fog Computing architecture was studied to support infrastructure integration for the development of smart industries. This study covers sensor network architecture, device communication, and smart computing with a robotic arm infrastructure. The sensor is installed to monitor the work process of the robot arm; then, the measurement values obtained sent to the fog device for analysis. The results of the analysis to determine the movement patterns then classified by the Support Vector Machine (SVM) method. The result of the system is that it can detect the movement of a robot arm. The test results of this study showed an average accuracy of 90%. Therefore this research can later be used as an initial demonstration and real learning to applied to other machine components and services in supporting the application of smart industries, especially in Indonesia, in the future.
实现工业4.0整合各种基础设施离不开传感器的应用,传感器的应用随后是密集的数据分析。其中一种应用形式是基于雾计算概念的工业机器工作误差检测系统。本研究研究了雾计算架构,以支持智能产业发展的基础设施集成。本研究涵盖感测器网路架构、装置通讯、与机械臂架构的智慧运算。安装传感器,监控机械臂的工作过程;然后,将获得的测量值发送到雾装置进行分析。分析结果确定运动模式,然后用支持向量机(SVM)方法进行分类。该系统的结果是,它可以检测机器人手臂的运动。本研究的测试结果显示平均准确率为90%。因此,这项研究可以作为一个初步的示范和真正的学习,应用于其他机器部件和服务,以支持未来智能产业的应用,特别是在印度尼西亚。
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引用次数: 2
Web Based Ontology Implementation for Information Search System 基于Web的信息搜索系统本体实现
Lely Prananingrum, N. Aziz, Lily Wulandari, L. Y. Banowosari, Adang Suhendra
Currently, search engine websites are often used by people in searching for information about the profession. Such information can help job seekers to develop training strategies to master the competence of job skills, so that job seekers get jobs that match their competencies. Thus, this research develops a website that can be used to search professional information based on the name of the profession or competence in the field of Information Technology in the domain of the National Occupational Map of ICT mapped with ontology. Ontology is a hierarchical structure that describes a domain used as a representation of a knowledge base. Ontology design method used in this research is Seven Step method. Implementation of ontology using Protégé 5.2 tool as an ontology editor, while for the implementation of ontology into the web used XML. Search on the website is done based on keywords that are input by the user, the keyword can be a profession or competence. Based on the results of trials conducted, the website created able to provide information about the profession in the field of Information Technology, the use of ontology also makes the information submitted to be more structured.
目前,人们经常使用搜索引擎网站来搜索有关该专业的信息。这些信息可以帮助求职者制定培训策略,掌握工作技能的能力,从而使求职者获得与自己能力相匹配的工作。因此,本研究开发了一个网站,该网站可用于在以本体映射的ICT国家职业地图领域中,根据信息技术领域的专业名称或能力搜索专业信息。本体是一种层次结构,用于描述作为知识库表示的领域。本研究采用的本体设计方法是七步法。本体的实现使用proprot 5.2工具作为本体编辑器,而本体的实现则使用XML实现到web中。网站上的搜索是根据用户输入的关键字完成的,关键字可以是职业或能力。根据所进行的试验结果,所创建的网站能够提供有关信息技术领域的专业信息,本体的使用也使得所提交的信息更加结构化。
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引用次数: 3
Fire Detection Using Image Processing Techniques with Convolutional Neural Networks 基于卷积神经网络图像处理技术的火灾探测
Raam Pujangga Sadewa, Budhi Irawan, C. Setianingsih
Fire is a flame, whether it is small or large, an undesirable place, situation and time. In general, every place has the potential to experience a fire. But at this time, the smoke sensors are the most widely used devices to detect fires. Where the smoke sensors can only detect fires if the fire is large. So that a system is needed to detect early fires. In this paper, an image-based fire alarm system is designed, using a laptop and webcam as the main equipment. The method for using Convolutional Neural Networks (CNN) to identify fire. The system created has an accuracy rate of 92%.
火是一种火焰,无论大小,都是不受欢迎的地点、情况和时间。一般来说,每个地方都有可能发生火灾。但在这个时候,烟雾传感器是最广泛使用的设备来探测火灾。烟雾传感器只有在火势较大时才能探测到火灾。所以需要一个系统来探测早期火灾。本文以笔记本电脑和网络摄像头为主要设备,设计了一种基于图像的火灾报警系统。使用卷积神经网络(CNN)识别火灾的方法。该系统的准确率为92%。
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引用次数: 17
Network Architecture Design of Indonesia Research and Education Network (IDREN) 印度尼西亚研究与教育网络(IDREN)网络架构设计
A. Affandi, Achmad Basuki, Widyawan Widyawan
In 2015, five universities (University of Indonesia, Institut Teknologi Bandung, University of Gadjah Mada, University of Brawijaya, and Institut Teknologi Sepuluh Nopember) took the initiative to build Indonesian Research and Education Network (IDREN) by building networks between universities in collaboration with Internet Service Providers (ISP). This paper presents the network architecture of IDREN. It discusses the collaborative action offered to ISPs that decouples the responsibility of managing the Layer 2 and Layer 3 connections from the IDREN gateway to research or educational institutes. The IDREN team manages the Layer 2 connection, whereas each ISP team manages the Layer 3 connection. The upstream connectivity to other RENs is managed via INHERENT gateway to TEIN4, which is supported by the Government.
2015年,五所大学(印度尼西亚大学、万隆理工学院、Gadjah Mada大学、Brawijaya大学和sepulu11理工学院)通过与互联网服务提供商(ISP)合作建立大学之间的网络,主动建立了印度尼西亚研究与教育网络(IDREN)。本文介绍了IDREN的网络体系结构。它讨论了提供给isp的协作行动,将管理第2层和第3层连接的责任从IDREN网关分离到研究或教育机构。IDREN团队管理第二层连接,而每个ISP团队管理第三层连接。与其他区域的上游连接是通过通往TEIN4的固有网关进行管理的,该网关得到了政府的支持。
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引用次数: 0
期刊
2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)
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