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2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)最新文献

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Using Crow Algorithm for Optimizing Size of Wind Power Plant/Hybrid PV in Libya 用Crow算法优化利比亚风电场/混合光伏发电规模
A. Elbaz, M. Güneser
To design an efficient, sustainable and feasible hybrid system sizing optimization should be applied. In this study, a hybrid power plant, which consists of an off-grid PV and wind energy system to supply the demand of solar energy research center in Libya, was designed. Crow search technique was applied to decrease the installation cost and operating cost by sizing each part of hybrid system. We optimized the number of PV modules, powers of wind turbines and capacities batteries. After offering the design of hybrid system, we compared performance of crow algorithm with particle swarm optimization algorithm performance. Regarding the comparison, crow algorithm results sign a better performance for sizing a lower cost hybrid power plant consists of PV and wind systems.
为了设计一个高效、可持续、可行的混合动力系统,需要对系统的规模进行优化。为满足利比亚太阳能研究中心的需求,设计了一个由离网光伏和风能系统组成的混合电厂。采用乌鸦搜索技术,通过对混合动力系统各部件进行定量化,降低系统的安装成本和运行成本。我们优化了光伏组件的数量、风力涡轮机的功率和电池的容量。在给出混合系统的设计方案后,比较了乌鸦算法和粒子群算法的性能。通过比较,乌鸦算法的结果表明,在确定由光伏和风力系统组成的低成本混合电厂时,乌鸦算法具有更好的性能。
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引用次数: 7
Optimal Operation of Virtual Power Plant in a Day Ahead Market 提前日市场下虚拟电厂的最优运行
Özge P. Akkaş, Ertuğrul Çam
The necessity for Renewable Energy Resources (RES) has become a major issue due to the shortage of adequate fossil fuels recently. In addition to fossil fuel shortages, global warming is also an anxiety for a lot of countries and companies. These problems have led to the addition of a large number of renewable energy sources to modern distribution systems. However, due to the high integration of RES to these systems and the intermittent characteristic of sources such as wind and solar, it causes variable production and uncertainty in the power system. It is proposed as a solution to gather these resources together in order to solve the problems caused by the changeable outputs of these resources. Virtual Power Plant (VPP) is described as the management of distributed generation facilities, energy storage systems and controllable loads by an Energy Management System (EMS). In this study, the VPP model consists of renewable energy sources such as wind power plant (WPP), solar power plant (SPP), biogas power plant (BPP) and pumped hydro storage plant (PHSP) as an energy storage system (ESS). The aim of the VPP is to maximize the net daily profit in a 24 h time interval. The proposed mixed integer linear programming (MILP) optimization problem is modeled in GAMS software and solved using CPLEX.
近年来,由于化石燃料的短缺,对可再生能源(RES)的需求已成为一个主要问题。除了化石燃料短缺,全球变暖也是许多国家和公司的担忧。这些问题导致在现代配电系统中增加了大量可再生能源。然而,由于可再生能源与这些系统的高度集成,以及风能和太阳能等能源的间歇性特性,导致了电力系统的可变生产和不确定性。为了解决这些资源产出变化带来的问题,提出了将这些资源集中起来的解决方案。虚拟电厂(VPP)是指通过能源管理系统(EMS)对分布式发电设施、储能系统和可控负荷进行管理。在本研究中,VPP模型由风力发电厂(WPP)、太阳能发电厂(SPP)、沼气发电厂(BPP)和抽水蓄能电站(PHSP)等可再生能源作为储能系统(ESS)组成。VPP的目标是在24小时的时间间隔内实现每日净利润的最大化。在GAMS软件中对所提出的混合整数线性规划(MILP)优化问题进行建模,并利用CPLEX进行求解。
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引用次数: 5
Safety Based Smart Parking Guidance System Using GSM and Zigbee 基于GSM和Zigbee的安全智能泊车引导系统
M. S. Mohammed, Seda Ustun Ercan
In this paper, safety based smart car parking guidance system has been designed and implemented using global system for mobile communications (GSM) technology and zigbee technology. It assists the drivers to overcome parking problems that usually occur in the urban areas, like time being wasted in looking for an available parking lot and keep on circling until they find a vacant parking spot. This system includes three modules: First, monitoring module; the drivers check on their mobile phones for an available parking spot in real time before arriving using short message service (SMS) without having to go online. Second, guidance module; an approach was suggested to determine the nearest vacant parking spots within the parking lot. This approach depends on the location of the vacant parking spot to the parking lot entrance, exite and pedestrian exit location. Third, safety module; the aim of designing this module is to provide a real time system capable of monitoring sudden events in the parking lot. In case of any emergency, the drivers will be alerted automatically through SMS.
本文采用全球移动通信系统(GSM)技术和zigbee技术,设计并实现了基于安全的智能停车引导系统。它帮助司机克服在城市地区经常出现的停车问题,比如浪费时间寻找一个可用的停车场,不停地转,直到找到一个空的停车位。本系统包括三个模块:一是监控模块;司机无需上网,就可以通过短信服务在手机上实时查看可用停车位。第二,引导模块;提出了一种确定停车场内最近的空闲停车位的方法。这种方法取决于空置停车位的位置到停车场入口、出口和行人出口的位置。三是安全模块;设计该模块的目的是提供一个能够实时监控停车场突发事件的系统。在紧急情况下,司机将自动通过短信提醒。
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引用次数: 6
Portable EMG Monitoring System for Hippotherapy 用于海马疗法的便携式肌电监测系统
M. M. Alseed, Neslihan Karabacak, Z. Sari, E. Kaplanoglu
Hippotherapy is the use of horse riding for rehabilitation and therapeutic purpose, which has proven its efficiency in improving upper legs, lower back, trunk, and abdominal muscle strength. This project aims to design a portable system that monitors electrical activity generated by targeted muscles during hippotherapy and robotic hippotherapy sessions to provide therapists with a real-time evaluation. The system consists of two electromyography channels, a 5.0" TFT touch display, a microcontroller, and a boosted rechargeable Li-Po battery, with the appropriate basic electronic elements. The user interface is designed to be simple, easy to use, and it provides two different pieces information, each displayed on a separate page of the screen: The raw EMG signal from each channel as a function of time, and the average muscle activity level from each channel as a single gauge with two indicators.
Hippotherapy是一种利用骑马来进行康复和治疗的疗法,它在改善大腿、下背部、躯干和腹部肌肉力量方面已经被证明是有效的。该项目旨在设计一种便携式系统,用于监测海马疗法和机器人海马疗法期间目标肌肉产生的电活动,为治疗师提供实时评估。该系统由两个肌电通道、一个5.0英寸TFT触摸显示器、一个微控制器和一个增强的可充电锂电池以及适当的基本电子元件组成。用户界面设计简单,易于使用,并提供两种不同的信息,分别显示在屏幕的单独页面上:来自每个通道的原始肌电信号作为时间的函数,以及来自每个通道的平均肌肉活动水平作为带有两个指示器的单个仪表。
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引用次数: 1
Diabetes Data Analysis via Gaussian Membership Functions with Deep Neural Networks 基于深度神经网络高斯隶属函数的糖尿病数据分析
Mustafa Bayram Gücen, Hasan Aykut Karaboğa
In this article, we analyzed Pima Indians diabetes data with deep neural network. The data were fuzzified using Gaussian membership function, and also Gaussian function used for normalization. The normalized data and fuzzified data were processed with different deep neural networks. Obtained performance results were compared and performance scores showed that, results obtained with fuzzy data are more effective than the results obtained with normalized data. This new method can be used for the prediction of different medical datasets. Furthermore, it is also possible to benefit from this approach to analyze other type of datasets.
本文采用深度神经网络对皮马印第安人糖尿病数据进行了分析。采用高斯隶属函数对数据进行模糊化,并采用高斯函数进行归一化。采用不同的深度神经网络对归一化数据和模糊化数据进行处理。对得到的性能结果进行了比较,性能得分表明,模糊数据得到的结果比规范化数据得到的结果更有效。该方法可用于不同医疗数据集的预测。此外,也可以从这种方法中受益于分析其他类型的数据集。
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引用次数: 2
Assessment of Role of Innovative Technology through Blockchain Technology in Ghana’s Cocoa Beans Food Supply Chains 通过区块链技术评估创新技术在加纳可可豆食品供应链中的作用
S. Musah, T. Medeni, Demet Soylu
Innovative technology is known of its crucial role towards cocoa production. Just as other cash crops, cocoa also generates income as well as offers direct or indirect employment to majority of people. Ghana is the second leading producer of cocoa beans in the world and has been earmarked as 2019 world’s fastest growing economy by IMF in its World Economic Outlook. IMF predicts a growth rate of 8.8% for Ghana and 7.5% for Cote D’Ivoire as the second runner up. This research therefore assessed the role of innovative technology in cocoa beans food supply chain.The main objective of this study was to evaluate the contributions made by innovative technology through the application of blockchain technology towards effectiveness of cocoa bean food supply chain. The study also looked into how blockchain technology contributed in addressing common unethical issues in cocoa production. To achieve these objectives, a secondary source of data was analyzed and questionnaire was also administered to various cocoa farmers.Earlier findings from the literature review and other existing academic sources suggested that cocoa bean food supply chain is quite cumbersome and complex. However, it was found that, the application of blockchain technology has increased traceability and transparency in cocoa bean supply chains. The study also revealed that unethical activities in cocoa industry have decreased drastically.The contributions made by the study to the existing body of literature are twofold: (1) it made us understood how innovative technology through blockchain positively affects cocoa production; (2) it also showed how blockchain technology can be incorporated into cocoa bean food supply chains to enhance transparency, traceability and mitigate unethical activities in cocoa production.
众所周知,创新技术在可可生产中起着至关重要的作用。就像其他经济作物一样,可可也能产生收入,并为大多数人提供直接或间接的就业机会。加纳是全球第二大可可豆生产国,并被国际货币基金组织在其《世界经济展望》中指定为2019年全球增长最快的经济体。国际货币基金组织预测,加纳的增长率为8.8%,第二名科特迪瓦的增长率为7.5%。因此,本研究评估了创新技术在可可豆食品供应链中的作用。本研究的主要目的是通过应用区块链技术来评估创新技术对可可豆食品供应链有效性的贡献。该研究还研究了区块链技术如何有助于解决可可生产中常见的不道德问题。为了实现这些目标,我们分析了二级数据来源,并对不同的可可种植者进行了问卷调查。文献综述和其他现有学术来源的早期发现表明,可可豆食品供应链相当繁琐和复杂。然而,研究发现,区块链技术的应用提高了可可豆供应链的可追溯性和透明度。该研究还显示,可可行业的不道德行为急剧减少。该研究对现有文献的贡献是双重的:(1)它使我们了解了通过区块链的创新技术如何对可可生产产生积极影响;(2)它还展示了如何将区块链技术纳入可可豆食品供应链,以提高透明度、可追溯性并减少可可生产中的不道德活动。
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引用次数: 9
Use of Hybrid Photovoltaic-Thermal (PV/T) Solar Modules for Enhancing Overall System Efficiency 使用混合光电-热(PV/T)太阳能模块提高整体系统效率
Mariama Ali Garba, B. Yesi̇lata
Hybrid Photovoltaic/Thermal systems, also called as PV/T systems or solar cogeneration systems, are innovative power generation technologies that convert solar radiation into usable thermal and electrical energy. Such systems combine a solar cell, which convert sunlight into electricity, with a solar thermal collector, which captures the remaining energy and removes waste heat from PV module. PV/T systems have a greater overall performance than the PV systems and solar thermal systems separately. In order to improve the performance of PV/T systems a lot of the studies have been done and researchers still keep on investigating these systems.A comprehensive review on these previous research studies are presented here. Many methods and approaches to enhance the performance of the PV/T systems are discussed along with the mathematical models used. The gaps in existing literature are identified and recommendations for future research are precisely outlined. It is emphasized here that only few experimental studies on PV/T systems based nanofluid materials are exist. Therefore, comprehensive experimental studies under real atmospheric conditions should be done with these systems, without neglecting effects of variations in mass flow rate of nanofluids,
混合光伏/热系统,也称为PV/T系统或太阳能热电联产系统,是一种创新的发电技术,将太阳辐射转化为可用的热能和电能。这种系统结合了太阳能电池(将太阳光转化为电能)和太阳能集热器(捕获剩余能量并从光伏模块中去除废热)。光伏/T系统比单独的光伏系统和太阳能热系统具有更高的综合性能。为了提高PV/T系统的性能,已经进行了大量的研究,研究人员仍在继续研究这些系统。本文对这些研究进行了综述。讨论了提高PV/T系统性能的许多方法和途径以及所使用的数学模型。确定了现有文献中的差距,并精确概述了对未来研究的建议。本文强调,目前基于纳米流体材料的PV/T系统的实验研究很少。因此,在不忽视纳米流体质量流率变化影响的前提下,需要对这些体系进行真实大气条件下的综合实验研究。
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引用次数: 3
Generating Initial Population of Farmland Fertility Algorithm with Chaotic Maps 基于混沌地图的农田肥力初始种群生成算法
Meral Kaya, Ahmet Bedri ÖZER, Öğr. Üyesi Soner Kiziloluk
In this study, Farmland Fertility Algorithm, which is one of the meta-heuristic optimization algorithms, has been investigated in detail. Three different approaches and different chaotic maps were used to generate the initial population of the algorithm. The chaotic mapped algorithms were tested with quality test functions and the performance of the algorithm was presented and interpreted through comparative tables and graphs. As a result of the tests, it was observed that the results of the approach of Generating the Whole Population and all dimensions with chaotic maps and the third approach in which the population was produced with one dimensional chaotic maps were generally similar or better with the Farmland Fertility Algorithm. In the second approach, it has been observed that the Farmland Fertility Algorithm, in which the tent (Tent) chaotic map is applied, produces more successful results for almost all dimensions and iterations. In the third approach, successful results were obtained in most of the chaotic map algorithms.
本文对元启发式优化算法之一的农田肥力算法进行了详细的研究。采用三种不同的方法和不同的混沌映射来生成算法的初始种群。利用质量测试函数对混沌映射算法进行了测试,并通过对比图表对算法的性能进行了说明。测试结果表明,用混沌图生成整个种群和所有维度的方法和用一维混沌图生成种群的第三种方法的结果总体上与农田肥力算法相似或更好。在第二种方法中,我们观察到应用tent(帐篷)混沌映射的农田肥力算法在几乎所有维度和迭代中都产生了更成功的结果。在第三种方法中,大多数混沌映射算法都获得了成功的结果。
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引用次数: 0
A Deep Learning Architecture for Place Classification in Indoor Environment via 2D Laser Data 基于二维激光数据的室内环境位置分类深度学习架构
Kaya Turgut, B. Kaleci
Mobile robots must be able to perceive their semantic location to perform the given tasks in the indoor environment. This problem is defined in the literature as place classification in which robot locations are classified semantically as room, corridor, and doorway. Deep learning techniques have been used for the semantic classification of the 2D laser data acquired by mobile robots. In this paper, a simple deep learning architecture consisting of only fully connected layers is proposed. The proposed architecture accepts 2D laser data without any pre-processing. The Freiburg79 dataset is used to test the proposed method. Since the dataset has data imbalance, the classification accuracy of the door is low in previous studies. The pose rotation was applied to overcome this problem. Intra-class variety was reduced and the classification accuracy of the door class is increased. In addition, the pre-processing and cost-sensitive learning techniques were applied to overcome the negative effects of the data imbalance on the Freiburg79 dataset. The proposed method was trained and tested using Freiburg79 laser data. Moreover, Freiburg52 test data was used to evaluate the success of architecture in different environments.
移动机器人必须能够感知其语义位置,以在室内环境中执行给定的任务。这个问题在文献中被定义为场所分类,其中机器人的位置在语义上被分类为房间、走廊和门口。深度学习技术已被用于移动机器人获取的二维激光数据的语义分类。本文提出了一种仅由完全连接层组成的简单深度学习架构。该架构接受二维激光数据,无需任何预处理。使用Freiburg79数据集对提出的方法进行了测试。由于数据集存在数据不平衡的问题,在以往的研究中,门的分类准确率较低。姿势旋转是用来克服这个问题的。减少了类内变异,提高了门类的分类精度。此外,采用预处理和代价敏感学习技术克服了Freiburg79数据不平衡的负面影响。利用Freiburg79激光数据对该方法进行了训练和测试。此外,使用Freiburg52测试数据来评估建筑在不同环境下的成功程度。
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引用次数: 1
Analysis, Design and Simulation of High Step-Up Developed DC-DC Converter 高升压DC-DC变换器的分析、设计与仿真
Israr Hussain, M. Zohaib, E. Babaei
High Step Up - High voltage gain converter is becoming the most productively converter now a days mostly in hybrid technology, mobile technology and for other portable devices that are in need of high voltages from low voltage input. Furthermore these converters are widely used in battery charging that includes Fuel cells as well. This Thesis discusses Simulate and proposed advancement in Developed High Step up Voltage DC to DC converter. Detailed analysis on Integration of Double Boost – SEPIC and CUK has been proposed. Proposed Topology contains multiple inductors with one controlled switch that will make a control mechanism useful for every application. Secondly voltage stresses across silicon conductor devices are very low. Conduction losses will also be reduced due to low voltage Stress. Reverse recovery current problem is also in under consideration of this thesis that will enables the use of Schotkey rectifiers. The keen purpose of the topology is to obtain the maximum output voltage with maximum voltage gain and less conduction losses reducing input ripple current. Without disturbing characteristics of Topology. A detailed analysis has been done on every converter separately and by integrating all converters to check the results. Mathematical equations are also derived for better understandings and simulation results are obtained as well.
高升压-高电压增益转换器是目前最具生产力的转换器,主要用于混合技术,移动技术和其他需要从低压输入高电压的便携式设备。此外,这些转换器广泛用于电池充电,包括燃料电池以及。本文讨论了高升压直流变换器的仿真,并提出了改进方案。对双升压- SEPIC和CUK的集成进行了详细分析。所建议的拓扑包含多个电感和一个受控开关,这将使控制机制对每个应用都有用。其次,硅导体器件的电压应力非常低。由于低电压应力,传导损失也会减少。反向恢复电流问题也在本论文的考虑之中,这将使使用肖特基整流器成为可能。该拓扑的主要目的是获得最大的输出电压,同时获得最大的电压增益和更小的传导损耗,从而减小输入纹波电流。无干扰的拓扑特性。对每个变换器分别进行了详细的分析,并将所有变换器综合起来进行了检验。为了更好地理解,还推导了数学方程,并得到了仿真结果。
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引用次数: 0
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2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
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