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2018 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)最新文献

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Self sustainable energy harvesting system 自给自足的能量收集系统
Pub Date : 2018-04-28 DOI: 10.1109/ISCAIE.2018.8405445
Ferdous Hossain, E. Arif, T. K. Geok, J. Hossen, Sharif Ahmed, Md. Armanur Rahman, K. Tawsif
Electrical energy demand is increasing massively across the world due to population growth. From literature, the number of population will be double within next 50 years because of continuous growth, so the energy demand will be triple based on the current demand. This paper presents an effective and innovative self-sustainable energy harvesting system. Here, an approach to developing a case where electrical energy can be produced is presented. The proposed energy harvesting system consists of an uninterruptible power supply, motor, voltage stabilizer, pendulum, controller, dynamo, solar panel, and gearbox. The dynamo is mainly run by motor rotation. Pendulum and gearbox work as energy booster factor. The total system dynamically monitors by smart controlled. The subsystems work together to automatically generate energy. The main aim of this research is to provide a reliable solution for energy limitations, due to the increasing demand for energy around the world. The produced energy of the system can be determined by the position of gear base on rotation of Pinium, which make the system sustainable.
由于人口增长,世界各地的电力需求正在大幅增加。从文献来看,由于人口的持续增长,未来50年内人口数量将增加一倍,因此能源需求将在目前需求的基础上增加两倍。本文提出了一种有效的、创新的、自我可持续的能量收集系统。在这里,提出了一种开发可以产生电能的情况的方法。所提出的能量收集系统由不间断电源、电机、稳压器、摆、控制器、发电机、太阳能电池板和齿轮箱组成。发电机主要靠电动机旋转运转。摆锤和齿轮箱作为能量增强因子。整个系统通过智能控制进行动态监控。这些子系统协同工作以自动产生能量。这项研究的主要目的是为能源限制提供可靠的解决方案,因为世界各地对能源的需求不断增加。系统产生的能量可以根据齿轮的转动位置来确定,使系统具有可持续性。
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引用次数: 3
Ant-based sorting and ACO-based clustering approaches: A review 基于蚁群的排序和基于蚁群的聚类方法综述
Pub Date : 2018-04-28 DOI: 10.1109/ISCAIE.2018.8405473
Ayad Mohammed Jabbar, K. Ku-Mahamud, Rafid Sagban
Data clustering is used in a number of fields including statistics, bioinformatics, machine learning exploratory data analysis, image segmentation, security, medical image analysis, web handling and mathematical programming. Its role is to group data into clusters with high similarity within clusters and with high dissimilarity between clusters. This paper reviews the problems that affect clustering performance for deterministic clustering and stochastic clustering approaches. In deterministic clustering, the problems are caused by sensitivity to the number of provided clusters. In stochastic clustering, problems are caused either by the absence of an optimal number of clusters or by the projection of data. The review is focused on ant-based sorting and ACO-based clustering which have problems of slow convergence, un-robust results and local optima solution. The results from this review can be used as a guide for researchers working in the area of data clustering as it shows the strengths and weaknesses of using both clustering approaches.
数据聚类应用于许多领域,包括统计学、生物信息学、机器学习探索性数据分析、图像分割、安全、医学图像分析、网络处理和数学规划。它的作用是将数据分组成类内相似度高、类间不相似度高的类。本文综述了确定性聚类和随机聚类方法中影响聚类性能的问题。在确定性聚类中,问题是由对提供的聚类数量的敏感性引起的。在随机聚类中,问题要么是由于缺乏最优数量的聚类,要么是由于数据的投影。主要讨论了基于蚁群的排序和基于蚁群的聚类存在收敛速度慢、结果不鲁棒和局部最优解等问题。这篇综述的结果可以作为数据聚类领域研究人员的指南,因为它显示了使用两种聚类方法的优点和缺点。
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引用次数: 18
Rule pruning techniques in the ant-miner classification algorithm and its variants: A review 反矿工分类算法中的规则修剪技术及其变体综述
Pub Date : 2018-04-28 DOI: 10.1109/ISCAIE.2018.8405448
Hayder Naser Khraibet Al-Behadili, K. Ku, Rafid Sagban
Rule-based classification is considered an important task of data classification. The ant-mining rule-based classification algorithm, inspired from the ant colony optimization algorithm, shows a comparable performance and outperforms in some application domains to the existing methods in the literature. One problem that often arises in any rule-based classification is the overfitting problem. Rule pruning is a framework to avoid overfitting. Furthermore, we find that the influence of rule pruning in ant-miner classification algorithms is equivalent to that of local search in stochastic methods when they aim to search for more improvement for each candidate solution. In this paper, we review the history of the pruning techniques in ant-miner and its variants. These techniques are classified into post-pruning, pre-pruning and hybrid-pruning. In addition, we compare and analyse the advantages and disadvantages of these methods. Finally, future research direction to find new hybrid rule pruning techniques are provided.
基于规则的分类被认为是数据分类的一项重要任务。基于反挖掘规则的分类算法受到蚁群优化算法的启发,在某些应用领域表现出与文献中现有方法相当的性能并优于现有方法。在任何基于规则的分类中经常出现的一个问题是过拟合问题。规则修剪是避免过拟合的框架。此外,我们发现,当反矿工分类算法的目标是为每个候选解寻找更多改进时,规则修剪的影响相当于随机方法中的局部搜索。本文综述了蚂蚁及其变种的修剪技术的发展历史。这些技术分为后剪枝、预剪枝和混合剪枝。此外,我们还比较分析了这些方法的优缺点。最后,提出了寻找新的混合规则修剪技术的未来研究方向。
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引用次数: 55
A novel approach to classify and detect bean diseases based on image processing 一种基于图像处理的豆类病害分类检测新方法
Pub Date : 2018-04-28 DOI: 10.1109/ISCAIE.2018.8405488
Sa'ed Abed, Anwar Ali Esmaeel
The early detection of plant diseases is one of the main reasons that can reduce the world crop losses. It requires a tremendous amount of effort, money, and time. Therefore, the algorithms used in image processing make it possible to detect plant leaf diseases automatically. This paper focuses on detecting two types of bean leaf diseases including bacterial brown spot and powdery mildew. The detecting process involves acquisition, preprocessing, segmentation, feature extraction, and classification. The training and testing images are taken from a public database. The developed methodology can successfully detect the two types of plant leaf diseases with an accuracy of 100%.
植物病害的早期发现是减少世界作物损失的主要原因之一。这需要大量的努力、金钱和时间。因此,图像处理中使用的算法使植物叶片病害的自动检测成为可能。本文对细菌性褐斑病和白粉病两种大豆叶片病害进行了检测。检测过程包括采集、预处理、分割、特征提取和分类。训练和测试图像取自一个公共数据库。所建立的方法可以成功地检测出两种类型的植物叶片病害,准确率为100%。
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引用次数: 20
An overview of design techniques for high frequency wide-band low noise amplifiers 高频宽带低噪声放大器设计技术综述
Pub Date : 2018-04-01 DOI: 10.1109/ISCAIE.2018.8405459
Ahmad Darwish, L. Albasha, Hani Alrifai
Ultra-wideband low noise amplifiers are mostly used in modern wireless communication systems over narrowband amplifier because of the emerging 5G applications, where the bandwidth has dramatically increased compared with the previous 4G and LTE systems. Indeed, with the increased bandwidth, it is known that the design of amplifiers is getting more and more complicated. The main reason behind such complication is the enlarged noise figure since the noise of devices is directly proportional to the bandwidth. Another obstacle that faces designers is the high frequency of operation for most modern applications as this will increase the unwanted parasitic effects and thus complicate the circuit more. This review paper addresses the development of some of the commonly used techniques for the design of such wideband amplifiers.
由于新兴的5G应用,超宽带低噪声放大器主要用于现代无线通信系统,而不是窄带放大器,其带宽与之前的4G和LTE系统相比显着增加。事实上,随着带宽的增加,放大器的设计也变得越来越复杂。造成这种复杂性的主要原因是噪声系数的增大,因为器件的噪声与带宽成正比。设计人员面临的另一个障碍是大多数现代应用的高频率操作,因为这将增加不必要的寄生效应,从而使电路更加复杂。本文综述了设计这种宽带放大器的一些常用技术的发展。
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引用次数: 2
Performance and feasibility analysis of an AC compressor freezer with a swapped DC compressor for optimum solar use — A complete off-grid solution ensuring food security 交流压缩机冷冻室的性能和可行性分析,交换直流压缩机以获得最佳的太阳能利用-一个完整的离网解决方案,确保粮食安全
Pub Date : 2018-04-01 DOI: 10.1109/ISCAIE.2018.8405446
A. Iqbal, S. Chowdhury, M. Srijan, M. U. Faruq, A. Rahman, A. Azad
This paper focuses on the prototype of the cold storage which is designed by BRAC University, Control & Applications Research Centre (CARC). The cold storage is a conventional freezer where its AC compressor is swapped by a DC compressor. It is run by the DC output of the solar panels and the battery banks. The batteries are simultaneously charged by the solar panels besides running the freezer. The batteries can give energy backup in the absence of the sun for almost four days. This project can be used as a micro storing system as well as a large cold storage. Various performance test analysis has been done to ensure the reliability and consistency of the system. The DC Compressor's Coefficient of Performance (COP) is 1.48 [1], which is more than the conventional AC Compressor system. As well, it's Life Cycle Cost (LCC) and Payback Period (PP) is satisfying and ensures that it is a good solution to the poor's financial distress in rural areas.
本文重点介绍了BRAC大学控制与应用研究中心(CARC)设计的冷库样机。冷库是一个传统的冷冻室,其交流压缩机由直流压缩机交换。它是由太阳能电池板和电池组的直流输出运行的。除了运行冰箱外,电池还同时由太阳能电池板充电。这种电池可以在没有太阳的情况下提供将近四天的备用能源。本项目既可作为微型冷库,也可作为大型冷库。为了保证系统的可靠性和一致性,进行了各种性能测试分析。直流压缩机的COP (Coefficient of Performance)为1.48[1],高于传统的交流压缩机系统。此外,它的生命周期成本(LCC)和回收期(PP)也令人满意,确保了它是解决农村贫困人口经济困境的一个很好的办法。
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引用次数: 2
Road sign text detection using contrast intensify maximally stable extremal regions 道路标志文本检测使用对比度增强最大稳定的极端区域
Pub Date : 2018-04-01 DOI: 10.1109/ISCAIE.2018.8405492
Md. Shamim Hossain, A. F. Alwan, Mahfuza Pervin
This work focuses on the text detection of road sign directional board from the outdoor environment. We propose a fast and effective method to detect texts in the natural image and remove the blurring problem by adding a contrast enhancement method with Maximally Stable Extremal Regions (MSERs). Character candidates are detected by a MSERs algorithm with contrast intensify method. After that, non-text regions are removed with the geometric rules such as aspect ratio. Then to remove the false positive, the stroke width variation approach imposes. The properties of character candidates (e.g. stroke width, intensity, size, etc.) are used to form the word and distance between the characters are measured by the Euclidean Distance algorithm. Finally, text candidates are identified by the Optical Character Recognition (OCR) and send a message to the drivers or pedestrians. This method has been evaluated by the public data set ICDAR 2011, ICDAR 2013, ICDAR 2015 and also a set of road sign directional board images.
本课题主要研究来自室外环境的道路标志定向板的文本检测。我们提出了一种快速有效的方法来检测自然图像中的文本,并通过添加最大稳定极值区域(mser)的对比度增强方法来消除模糊问题。候选字符的检测采用一种带有对比度增强方法的MSERs算法。然后,使用长宽比等几何规则删除非文本区域。然后采用笔画宽度变化法去除假阳性。候选字符的属性(如笔画宽度、强度、大小等)用于组成单词,字符之间的距离由欧几里得距离算法测量。最后,通过光学字符识别(OCR)识别候选文本,并向驾驶员或行人发送信息。该方法已通过公共数据集ICDAR 2011、ICDAR 2013、ICDAR 2015以及一组路标定向板图像进行了评估。
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引用次数: 2
Design and investigation of segmented rotor dual stator HE FSM for aircraft applications 飞机用分段转子双定子HE FSM的设计与研究
Pub Date : 2018-04-01 DOI: 10.1109/ISCAIE.2018.8405465
H. Ali, E. Sulaiman, Z. Omar
The aircrafts in the modern age are well equipped by electrical devices are known as all electric aircraft (AEA). One of the main objectives of the aerospace industry for the future is AEA to save the fossil fuels, environment and cost. For aerospace propulsion system, electrical machines provide high torque density are dominant for the viability of direct-drive electrical propulsion of aircraft applications. Besides low-weight and high torque capability, a candidate solution should also be inherently fault tolerant for it to be used in aircraft applications. For these reasons a new type of machine has been introduced in last decade know as flux switching machine (FSM). In which all excitation sources are located on stator side with robust rotor structure. FSMs are categorized in to three types such as permanent magnet PM FSM, field excitation FE FSM and hybrid excitation HE FSM. PMFSM and FEFSM uses PM and FE coil for their excitation sources respectively, whereas both PM and FE coil are used in HEFSM for excitation. Since these machines have shown high torque-to-weight ratios and high efficiency during research in the last decade. Despite this, the task of designing a machine appropriate for this application goes beyond the electromagnetic design and into the area of mechanical design much deeper than for traditional designs. Therefore in this paper a new structure of dual stator (DS) HEFSM with segmental rotor is proposed and analyzed. The proposed design of DS HEFSM has simple structure with only six FECs and six PMs. New structure is analyzed using commercial 2D FEA package, JMAG-designer ver. 14.0, released by JSOL Corporation. This paper presents the coil test analysis of proposed HEFSM to confirm the working principle besides, performance analysis is presented at no load and load conditions.
现代的飞机装备齐全的电气设备被称为全电动飞机(AEA)。未来航空航天工业的主要目标之一是节省化石燃料、环境和成本。在航空航天推进系统中,电机提供的高扭矩密度对飞机直接驱动电力推进的可行性起着主导作用。除了低重量和高扭矩能力外,候选解决方案还应该具有固有的容错能力,以便在飞机应用中使用。由于这些原因,在过去的十年中,一种新型的机器被引入,称为磁通开关机(FSM)。其中所有励磁源均位于定子侧,转子结构坚固。FSM分为永磁永磁FSM、场激励FE FSM和混合激励HE FSM三种。PMFSM和FEFSM分别使用PM和FE线圈作为励磁源,而hemfsm则同时使用PM和FE线圈作为励磁源。由于这些机器在过去十年的研究中显示出高扭矩重量比和高效率。尽管如此,设计适合这种应用的机器的任务超越了电磁设计,进入了比传统设计更深的机械设计领域。为此,本文提出并分析了一种带有分段转子的双定子(DS) helfsm的新结构。所提出的DS HEFSM结构简单,只有6个fec和6个pm。采用商用二维有限元分析软件jmag - designver对新结构进行分析。14.0,由JSOL Corporation发布。本文对所提出的hemfsm进行了线圈试验分析,以确定其工作原理,并对其在空载和有载工况下的性能进行了分析。
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引用次数: 0
Framework for managing smart cities security and privacy applications 管理智慧城市安全和隐私应用程序的框架
Pub Date : 2018-04-01 DOI: 10.1109/ISCAIE.2018.8405468
M. Ati, Tasnim Basmaji
The enormously growing population in urban areas and the impact it has on the urban environment escalates the need of sophisticated management approaches that acquire the latest advancements of ICT, IoT and AI to enhance every city offered service. A smart city is capable of monitoring the physical world in real time and gathering city and citizens related data, then processing and analyzing this data in order to control city facilities and influence the life of citizens. The emerging of such technologies in cities raises multiple security and privacy concerns and challenges at individual and community levels. Several attempts have been introduced to guarantee the security and privacy of sensed data. In this paper we examine the security and privacy of smart city applications, the challenges faced and the solutions proposed. We first introduce smart cities and we provide an overview of major security problems and current solutions in some categories of smart cities. We then investigate the security challenges related to both city infrastructure and data, and we propose a framework to overcome these challenges.
城市地区人口的急剧增长及其对城市环境的影响加剧了对复杂管理方法的需求,这些方法需要获取信息通信技术、物联网和人工智能的最新进展,以增强每个城市提供的服务。智慧城市能够实时监控物理世界,收集城市和市民的相关数据,然后对这些数据进行处理和分析,从而控制城市设施,影响市民的生活。这些技术在城市中的出现,在个人和社区层面引发了多重安全和隐私问题和挑战。为了保证传感数据的安全性和保密性,提出了几种尝试。在本文中,我们研究了智慧城市应用的安全性和隐私性,面临的挑战和提出的解决方案。我们首先介绍了智慧城市,并概述了一些类别的智慧城市的主要安全问题和当前解决方案。然后,我们调查了与城市基础设施和数据相关的安全挑战,并提出了一个克服这些挑战的框架。
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引用次数: 6
Modeling, design and control of bidirectional DC-DC converter using state-space average model 基于状态空间平均模型的双向DC-DC变换器建模、设计与控制
Pub Date : 2018-04-01 DOI: 10.1109/ISCAIE.2018.8405509
M. Sarif, Tan Xin Pei, A. Z. Annuar
Modeling, design and control of a DC-DC converter using state-space averaging approached are presented. A proposed DC-DC converter topology is based on two half-bridge DC-DC converters which control the power between the battery, energy storage system (ESS) of an ultra-capacitor, and an output load resistance. Two well-known control schemes based on AC equivalent circuit modeling are used to design converter control system. The average voltage mode control is used for the boost converter operation and the two-loop average current mode control for the bidirectional operation. Control schemes are modeled and designed, the performance and responses were analyzed using Matlab/Simulink. The simulation results show that the proposed control system is capable to regulate efficiently the power flow between two DC sources.
介绍了一种基于状态空间平均法的DC-DC变换器的建模、设计和控制。提出了一种基于两个半桥DC-DC转换器的DC-DC转换器拓扑结构,它们控制电池、超级电容器的储能系统(ESS)和输出负载电阻之间的功率。采用两种知名的基于交流等效电路建模的控制方案设计变换器控制系统。升压变换器的操作采用平均电压模式控制,双向操作采用双环平均电流模式控制。对控制方案进行了建模和设计,并利用Matlab/Simulink对其性能和响应进行了分析。仿真结果表明,所提出的控制系统能够有效地调节两个直流电源之间的潮流。
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引用次数: 23
期刊
2018 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)
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