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2019 6th International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE)最新文献

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Development of Omni-Wheeled Mobile Robot Based-on Inverse Kinematics and Odometry 基于逆运动学和里程计的全轮式移动机器人研制
A. Sofwan, Hafidz Rizqi Mulyana, H. Afrisal, Abdul Goni
This paper presents the development of an omni-wheeled mobile robot based on inverse kinematics and odometry for local and indoor navigation purposes, such as for automatic warehousing in industry or healthcare environment. The robot uses four-wheeled diagonal configuration to conform directional angles of $pmb{alpha_{1}=45^{mathrm{o}}, alpha_{2}=135^{mathrm{o}}, alpha_{3}=225^{mathrm{o}}}$, and $pmb{alpha_{4}=315^{mathrm{o}}}$ Inverse kinematics is utilized to drive the robot to a point with specific trajectory and heading angle. Internal wheeled-encoders mounted in each DC-motors are used to read the angular speed and position. This research utilizes odometry technique to estimate the robot's position relative to the initial position. In order to develop a more precise odometry result, we combine the use of wheeled-encoders and an IMU. In order to maintain robot's position relative to the desired position, a PID control is applied to the algorithm. The result of the tests show that the developed omni-wheeled mobile robot is capable of performing locomotion to the desired position and to follow a controlled trajectory by maintaining a minimum error relative to the referenced trajectory.
本文介绍了一种基于逆运动学和里程计的全轮式移动机器人的开发,用于局部和室内导航,如工业或医疗环境中的自动仓储。机器人采用四轮对角配置,使方向角符合$pmb{alpha_{1}=45^{mathrm{o}}, alpha_{2}=135^{mathrm{o}}}, alpha_{3}=225^{mathrm{o}} $, $pmb{alpha_{4}=315^{mathrm{o}}}$,利用逆运动学将机器人驱动到具有特定轨迹和航向角的点。内部轮式编码器安装在每个直流电机是用来读取角速度和位置。本研究利用里程计技术来估计机器人相对于初始位置的位置。为了得到更精确的里程计结果,我们将轮式编码器和IMU结合使用。为了保持机器人相对于期望位置的位置,在算法中应用了PID控制。试验结果表明,所研制的全轮式移动机器人能够在相对于参考轨迹误差最小的情况下,沿受控轨迹运动到期望位置。
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引用次数: 10
Success Factor of Implementation Blockchain Technology in Pharmaceutical Industry: A Literature Review 医药行业实施区块链技术的成功因素:文献综述
Erick Fernando, Meyliana, Surjandy
In the pharmaceutical industry, the implementation of blockchain technology in its supply chain has begun to achieve commercial objectives. However, there are still many who do not yet know the benefits or are not sure of the implementation. This study aims to find success factors in the application of blockchain technology in the pharmaceutical industry. Therefore the process used in the literature review by the meta-analysis method. The results of this study found 21 factors, and five factors found to be the most dominant in the application of blockchain technology are Track, Trust, Traceability, Transparency, And Real-Time. By knowing this success factor, other pharmaceutical industries are encouraged to implement blockchain technology as a solution to the problems that they have.
在医药行业,区块链技术在其供应链中的实施已经开始实现商业目标。然而,仍有许多人不知道其好处或不确定实施。本研究旨在寻找区块链技术在制药行业应用的成功因素。因此在文献综述的过程中采用了meta分析的方法。本研究的结果发现了21个因素,其中在区块链技术应用中最主要的五个因素是跟踪、信任、可追溯性、透明度和实时性。通过了解这一成功因素,鼓励其他制药行业实施区块链技术,以解决他们所面临的问题。
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引用次数: 21
Power Consumption Analysis in Resonant Converter 谐振变换器的功耗分析
M. Facta, Hermawan, M. Amjad
Resonant converter equipped with single switch and resonant bank is the simplest converter to generate alternating higher voltage at high frequency. This topology is suitable to convert a considerable lower voltage such as battery or photovoltaic to higher voltage in order of kilo Volt, so that it crucial to estimate the power consumption inside the resonant converter. Most of previous records revealed only the work mechanism of the resonant converter, but explicit records present their power consumption. This paper describes the power consumption for single switch resonant converters as direct to alternating current converter. The converter is combined with parallel bank converter, piezoelectric transformer and ferrite transformer. As the results of formulation the power consumption of resonant converters with three variation of bank, the efficiency of three kind of converter is obtained.
采用单开关和谐振组的谐振变换器是产生高频交变高压的最简单的变换器。这种拓扑结构适用于将相当低的电压(如电池或光伏)转换为千伏特量级的较高电压,因此对谐振变换器内部功耗的估计至关重要。以往的记录大多只揭示了谐振变换器的工作机理,而明确地记录了其功耗。本文介绍了单开关谐振变换器作为直流到交流变换器的功耗。该变换器由并联变换器、压电变压器和铁氧体变压器组成。通过对三种电压组变化时谐振变换器功耗的计算,得到了三种变换器的效率。
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引用次数: 0
Intelligent Multiple-Vehicular-Attributes (iMVA) Broadcast Protocol for VANETs 面向vanet的智能多车属性(iMVA)广播协议
A. Prasetijo, S. Alwakeel, Hesham Altwaijry
Any vehicular network attributes in VANETs (e.g., sender-receiver distance and number of neighboring vehicles) can be used to determine candidate rebroadcast vehicles. The use of only limited number of attributes, however, may rule out potential broadcast candidates. For example, a counter-based scheme broadcast will never take specific nodes (vehicles) into consideration even though they have great sender-receiver distance. This research employs multiple vehicular attributes to tackle such an issue. The use of naïve-Bayes probability in our protocol combines the individual strengths of the incorporated vehicular attributes to obtain a broadcast decision. The results suggest that the proposed method is intelligent to the variation of node density and its performance outperformed both the distance-based scheme and the Efficient Counter-based Scheme (ECS) broadcast scheme at any network densities experimented. Our broadcast method contributes to the increase of 1.8% average reachability, 30.3% saving on rebroadcast tries, 5% reduction on delivery cost and shortens the total delay time by about 19.6% over the ECS scheme. An analytical model justifies the simulated reachability and saved-rebroadcast results showing similar trends over network density experimented.
VANETs中的任何车辆网络属性(例如,发送-接收距离和相邻车辆的数量)都可以用于确定候选重播车辆。然而,只使用有限数量的属性可能会排除潜在的广播候选。例如,基于计数器的方案广播永远不会考虑特定的节点(车辆),即使它们有很大的发送-接收距离。本研究采用多种车辆属性来解决这一问题。在我们的协议中使用naïve-Bayes概率结合了合并的车辆属性的各个优势来获得广播决策。结果表明,该方法对节点密度变化具有较强的智能感知能力,在任何网络密度下,其性能都优于基于距离的广播方案和基于高效计数器的广播方案(ECS)。与ECS方案相比,我们的广播方法平均可达性提高1.8%,重播次数减少30.3%,传输成本降低5%,总延迟时间缩短约19.6%。分析模型验证了模拟可达性和节省重播的结果,在不同网络密度的实验中显示出相似的趋势。
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引用次数: 1
Design Semi-Automatic Control System using PLC for Stalling Materials in the Forming Machine 采用PLC设计成型机的半自动控制系统
S. Ardi, Ikhtiar Dwi Arifudin
This research was conducted in Manufacturing Industry in Indonesia. The company, especially at the Plant, does the TPM (Total Productive Maintenance) activity carried out by a small group of various divisions, especially maintenance. Maintenance implements these results into the LOR (Line Operation Ratio). LOR standards is set by the company is 85%. So it can be made the target of a higher LOR future. For it must lower the existing downtime. Downtime highest Fin Forming machines are Dandori Models that are equal to 2,608 minutes or about 9.30% of LOR. Standard downtime allowed 5% of LOR. In the process, dandori models required a process of stretching aluminum material manually along with the crank process forming roller. In this process the operator must perform movement to the uncoiler machine to stretch the material and the operator moves to the forming to crank on forming roller. There is no time which required operators to perform movements from the uncoiler to forming. We design a special controller using the PLC (Programmable Logic Controllers) to turn on the motor servo feed rollers on the fin forming machine. The material can move automatically when operators do crank forming roller, and the operator does not need to move to the position of the engine to stall uncoiler material reels manually.
这项研究是在印度尼西亚的制造业进行的。公司,特别是在工厂,进行TPM(全面生产维护)活动,由各个部门组成的小组执行,特别是维护。维护将这些结果执行到LOR(线路运行比)中。LOR的标准是由公司设定的85%。因此,它可以成为一个更高的LOR未来的目标。因为它必须降低现有的停机时间。停机时间最长的翅片成型机是Dandori型号,等于2,608分钟,约占总停机时间的9.30%。标准停机时间允许5%的LOR。在此过程中,丹多利模型需要手动拉伸铝材料的过程与曲柄工艺成形辊。在这一过程中,操作者必须移动到开卷机以拉伸材料,操作者移动到成形辊上的曲柄。没有时间需要操作人员执行从开卷机到成形的动作。我们设计了一种特殊的控制器,利用PLC(可编程逻辑控制器)来控制鳍片成型机上的电机伺服进给辊。操作人员在做曲柄成型辊时,物料自动移动,无需手动移动到发动机位置使开卷机物料卷筒熄火。
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引用次数: 0
Welcome Message from General Chair ICITACEE 2019 2019年国际刑事司法顾问会议主席欢迎辞
W. Syafei, A. Hidayatno
Copyright and Reprint Permission: Abstracting is permitted with credit to the source. Libraries are permitted to photocopy beyond the limit of U.S. copyright law for private use of patrons those articles in this volume that carry a code at the bottom of the first page, provided the per-copy fee indicated in the code is paid through Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923. For other copying, reprint or republication permission, write to IEEE Copyrights Manager, IEEE Operations Center, 445 Hoes Lane, Piscataway, NJ 08854. All rights reserved. Copyright © 2019 by IEEE. WELCOME MESSAGE FROM GENERAL CHAIR ICITACEE 2019
版权和转载许可:允许文摘并注明出处。在美国版权法的限制之外,图书馆允许影印本卷中第一页底部带有代码的文章,供用户私人使用,前提是代码中显示的每本费用由版权清算中心支付,地址:222 Rosewood Drive, Danvers, MA 01923。如需其他复制、转载或转载许可,请致函IEEE版权经理,IEEE运营中心,地址:445 Hoes Lane, Piscataway, NJ 08854。版权所有。IEEE版权所有©20192019年国际刑事司法委员会总主席欢迎辞
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引用次数: 2
Centralized Dynamic Host Configuration Protocol and Relay Agent for Smart Wireless Router 智能无线路由器的集中式动态主机配置协议和中继代理
W. Syafei, Yosua Alvin Adi Soetrisno, A. Prasetijo
Serving a Dynamic Host Configuration Protocol (DHCP) request with some additional services package may cause a conventional wireless router consumes more memory resources. High memory usage would break the DHCP request process if the wireless router becomes busy. In this paper, the centralized DHCP servers is proposed to overcome this situation. In term of Cisco product there is Wireless LAN Controller that can solve that situation. In this research, we suggest an open source solution for this situation. The original master and backup algorithm are modified to reserve DHCP request. DHCP master server serves many connected network under the main router. The modification of original master and backup algorithm is located in resource allocation calculation in the main router. Computer agent checks the memory of the main router to decide a diversion of DHCP pool to the backup router. Run test results show that the proposed method has an acceptable lease time. It can handle 254 DHCP requests within only 0.6 seconds longer than the conventional method. Further, the number of client that could be reserved by the proposed method is better than the method used in OpenWRT router, which is about 100 more clients successfully receive their IP.
在处理DHCP (Dynamic Host Configuration Protocol,动态主机配置协议)请求时,使用一些附加的服务包可能会导致传统无线路由器消耗更多的内存资源。如果无线路由器处于繁忙状态,内存使用率过高会导致DHCP请求进程中断。为了克服这种情况,本文提出了集中式DHCP服务器。就思科产品而言,无线局域网控制器可以解决这种情况。在本研究中,我们针对这种情况提出了一个开源解决方案。将原有的主备算法修改为保留DHCP请求。DHCP主服务器服务于主路由器下的多个连接网络。对原有主备算法的修改位于主路由器的资源分配计算中。计算机代理检查主路由器的内存,以决定将DHCP池转移到备份路由器。运行测试结果表明,该方法具有可接受的租用时间。它可以在0.6秒内处理254个DHCP请求。此外,该方法可以保留的客户端数量比OpenWRT路由器中使用的方法要好,大约多100个客户端成功接收到他们的IP。
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引用次数: 0
Backward Compatible Low PAPR Preamble for Very High Throughput WLAN IEEE802.11ac 向后兼容非常高吞吐量WLAN IEEE802.11ac的低PAPR前导
W. Syafei, A. Hidayatno, Ajub Ajulian Zahra Macrina
The new comer WLAN IEEE 802.11ac offers very high throughput wireless communication. By setting the modulation coding scheme to 9 in 80MHz of bandwidth and four spatial streams, it provides data rate up to 1.7Gbps. Operated in the 5GHz frequency band, it should be backward compatible to the former WLANs IEEE 802.11a/n. This paper presents the examination of backward compatibility performance of our novel low PAPR preamble proposed for IEEE802.11ac. Run test under channel model B and D of IEEE802.11TGn proved that the proposed low PAPR preamble in 80MHz can be decoded excellently by IEEE802.11n 20MHz and 40MHz, regardless the location and correlation method. These results demonstrated backward compatibility and coexistence of those WLANs in 5 GHz band.
新出现的WLAN IEEE 802.11ac提供了非常高的吞吐量无线通信。通过将调制编码方案设置为9 / 80MHz带宽和4个空间流,可提供高达1.7Gbps的数据速率。它工作在5GHz频段,应该向后兼容以前的wlan IEEE 802.11a/n。本文介绍了我们为IEEE802.11ac提出的新型低PAPR序言的向后兼容性性能。在IEEE802.11TGn的信道模型B和D下运行测试证明,所提出的80MHz低PAPR前导在IEEE802.11n的20MHz和40MHz下,无论位置和相关方法如何,都可以很好地解码。这些结果证明了这些无线局域网在5ghz频段的向后兼容性和共存性。
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引用次数: 3
Hierarchical Multi-label Classification to Identify Hate Speech and Abusive Language on Indonesian Twitter 分层多标签分类法识别印尼 Twitter 上的仇恨言论和辱骂性语言
Faizal Adhitama Prabowo, Muhammad Okky Ibrohim, I. Budi
Hate speech is one type of speech whose spread is banned in public spaces such as social media. Twitter is one of the social media used by some people to broadcast hate speech. The hate speech can be specified based on the target, category, and level. This paper discusses multi-label text classification using a hierarchical approach to identify targets, groups, and levels of speech hate on Indonesian-language Twitter. Identification is completed using classification algorithms such as the Random Forest Decision Tree (RFDT), Nave Bayes (NB), and Support Vector Machine (SVM). The feature extraction used for classification is the term frequency feature such as word n-gram and character n-gram. This research conducted five scenarios with different label hierarchy to find the highest accuracy that can possibly be reached by hierarchical classification. The experimental results show that the hierarchical approach with the SVM algorithm and word uni-gram feature has an accuracy of 68.43%. It proved that the hierarchical algorithm can increase data transformation or flat approach.
仇恨言论是在社交媒体等公共场所被禁止传播的一种言论。推特是一些人用来传播仇恨言论的社交媒体之一。仇恨言论可以根据目标、类别和级别进行指定。本文讨论了多标签文本分类,使用分层方法来识别目标,群体和印尼语Twitter上的言论仇恨水平。使用随机森林决策树(RFDT)、朴素贝叶斯(NB)和支持向量机(SVM)等分类算法完成识别。用于分类的特征提取是词频特征,如单词n-gram和字符n-gram。本研究通过五种不同标签层次的场景,寻找层次分类所能达到的最高准确率。实验结果表明,基于支持向量机算法和单词一元图特征的分层方法准确率达到68.43%。结果表明,分层算法可以提高数据的转换效率。
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引用次数: 11
MFCC Feature Extraction and KNN Classification in ECG Signals 心电信号的MFCC特征提取与KNN分类
Siti Agrippina Alodia Yusuf, Risanuri Hidayat
Feature extraction of electrocardiogram (ECG) signal is one of the essential steps to diagnose various cardiovascular disease (CVD). The signal is generated by the hearts electrical activity and able to reveal the abnormal activity of the heart. An accurate feature extraction method is important to produce better identification of ECG signal. ECG feature extraction using Mel Frequency Cepstrum Coefficient (MFCC), Discrete Wavelet transformation and KNN using euclidean distance as the classifier is proposed in this study. The model and testing of the proposed system were performed on the two types of data, normal and myocardial infarction (MI) labeled as abnormal, obtained from PTB-DB database. Total data used were 100 data, with 50 data for each condition. K-fold cross validation also applied to achieve a generalized result. According to the experimental, 13 features that obtained from MFCC shows good result. The accuracy, sensitivity and specificity were achieved 84%, 85% and 84% respectively.
心电图信号的特征提取是诊断各种心血管疾病的重要步骤之一。这种信号是由心脏的电活动产生的,能够揭示心脏的异常活动。准确的特征提取方法对于更好地识别心电信号至关重要。本文提出了基于Mel频率倒谱系数(MFCC)、离散小波变换和以欧氏距离为分类器的KNN的心电特征提取方法。对PTB-DB数据库中正常心肌梗死(MI)和标记为异常心肌梗死(MI)两类数据进行建模和测试。使用的数据总数为100个数据,每种情况50个数据。K-fold交叉验证也适用于实现广义结果。实验结果表明,从MFCC得到的13个特征显示出较好的效果。准确度为84%,灵敏度为85%,特异度为84%。
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引用次数: 18
期刊
2019 6th International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE)
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