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Preferences and knowledge of farmers and internet-orientated population about renewable energy sources in Kosovo 科索沃农民和互联网人口对可再生能源的偏好和知识
Q2 Engineering Pub Date : 2023-02-06 DOI: 10.1556/1848.2022.00516
Albiona Pestisha, Attila Bai
Our results introduce the preferences and attitudes of farmers and the internet-orientated population regarding renewable energy sources (RES) in Kosovo. The research included 243 internet-orientated participants and 30 farmers. The data was gathered through questionnaires (in both groups) and deep interviews (just in farmers). The results showed that the awareness of RES was high for especially solar, wind and hydro energy, the relationship among them was very strong. It was justified that firewood was typically used by respondents with low income, but not considered as renewable energy source, similarly to Hungary and the USA. A special feature of Kosovo is that electricity has very high importance for the man in the street, even for heating. Better education, higher income and environmental-consciousness definitely support better knowledge of RES, similarly to international tendencies. Males and employed participants had more knowledge about RES than females, or unemployed ones. Moreover, the results showed that the participants prefer environment rather than convenience, which is also typical of less wealthy countries. Our results might be useful as a typical less developed country case study for international comparison and helps to eliminate the unknown willingness in RES for the development of future agricultural strategies in Kosovo.
我们的研究结果介绍了科索沃农民和互联网导向人群对可再生能源的偏好和态度。这项研究包括243名以互联网为导向的参与者和30名农民。数据是通过问卷调查(两组)和深度访谈(仅针对农民)收集的。研究结果表明,可再生能源的知晓率较高,特别是太阳能、风能和水能的知晓率,二者之间的关系非常密切。与匈牙利和美国类似,木柴通常被低收入的受访者使用,但不被视为可再生能源,这是有道理的。科索沃的一个特殊之处是,电力对街上的人来说非常重要,甚至对供暖来说也是如此。更好的教育、更高的收入和环境意识肯定有助于更好地了解可再生能源,这与国际趋势类似。男性和在职参与者比女性或失业者更了解RES。此外,研究结果表明,参与者更喜欢环境而不是便利,这也是不太富裕国家的典型情况。我们的研究结果可能有助于作为一个典型的欠发达国家的案例研究进行国际比较,并有助于消除RES对科索沃未来农业战略发展的未知意愿。
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引用次数: 2
Use of compression test to determine the Young's modulus of the titanium alloy Ti6Al4V manufactured via direct metal laser sintering 用压缩试验测定金属激光直接烧结钛合金Ti6Al4V的杨氏模量
Q2 Engineering Pub Date : 2023-02-02 DOI: 10.1556/1848.2022.00536
Rashwan Alkentar, M. File, T. Mankovits
The research is dedicated to determine one of the most important mechanical properties which is the Young's modulus. Its value is crucial for clearly explaining and understanding the results of any mechanical loading experiment. Three cylindrical samples of 15 mm height and 7.5 mm diameter were designed using SpaceClaim application in the ANSYS Software and then 3D printed using Direct Metal Laser Sintering via EOS M 290 3D printer. The specimens were then tested under compression in order to determine the value of the Young's modulus for titanium alloy of grade 23 (Ti, Al, V, O, N, C, H, Fe, Y). The finite element method was executed using ANSYS mechanical to run a comparison between laboratory results with nominal results of the Young's modulus. Young's modulus value is affected by the 3D printing accuracy and quality, the material's quality as well; however, the deviation is within 10%.
这项研究致力于确定最重要的力学性能之一,即杨氏模量。它的价值对于清楚地解释和理解任何机械载荷实验的结果至关重要。三个圆柱形样品,共15个 mm高和7.5 使用ANSYS软件中的SpaceClaim应用程序设计直径为mm的材料,然后通过EOS M290 3D打印机使用直接金属激光烧结进行3D打印。然后在压缩下测试试样,以确定23级钛合金(Ti、Al、V、O、N、C、H、Fe、Y)的杨氏模量值。使用ANSYS mechanical执行有限元方法,将实验室结果与杨氏模量的标称结果进行比较。杨氏模量值受三维打印精度和质量、材料质量的影响;但偏差在10%以内。
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引用次数: 0
Extracts of leaf as green substitute to zinc compound additives in alkyd primer for corrosion inhibition of mild steel 叶片提取物绿色替代醇酸底漆中锌复合添加剂对低碳钢的缓蚀作用
Q2 Engineering Pub Date : 2023-01-13 DOI: 10.1556/1848.2022.00459
E. F. Sodiya, F. A. Dawodu
Application of leaf extracts in alkyd extract primer (AEP) to inhibit corrosion of mild steel was compared with performance of alkyd conventional primer (ACP) containing zinc phosphate and zinc chromate as inhibitors. The investigations were carried out through Gasometric technique in 5 °C steps of temperature increase from 25 to 50 °C in 1.0 M HCl as corrodent. The AEP of 34.24 percent actives compared with ACP of 56.57 percent actives gave the same inhibition efficiencies of 76.5%. Extract primer of lower percent active compared with conventional primer were cost effective and more potent than conventional primer.
比较了叶片提取物在醇酸萃取底漆(AEP)中的防腐性能与磷酸锌和铬酸锌作为缓蚀剂的醇酸常规底漆(ACP)的防腐性能。采用气相色谱技术,在1.0 M HCl溶液中,从25°C到50°C的5°C步骤中进行了研究。AEP活性为34.24%,ACP活性为56.57%,抑菌效率为76.5%。与传统引物相比,活性较低的萃取引物具有成本效益,且比传统引物更有效。
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引用次数: 0
Hybrid bidirectional multilevel inverter structures for induction motor drive 用于感应电机驱动的混合型双向多电平逆变器结构
Q2 Engineering Pub Date : 2023-01-12 DOI: 10.1556/1848.2022.00441
R. Santhi, A. Srinivasan
Multilevel inverters performance enhancement is a major topic, which has attracted the attention of most of the researchers, to evolve with newer topologies and modulation strategies. In this manuscript, two novel hybrid bidirectional multilevel inverter structures, which are suitable for bidirectional loads, are proposed. An enhancement in the voltage levels and reduction of the component count are achieved for these newly introduced structures. Modular expansion and series cascading are suggested systems for extension of the voltage levels. The prime requirement in most of the industrial drives is a controlled output. VSI fed induction motor drive satisfies this requirement. The Multicarrier PWM technique has been applied to the basic bidirectional seven level models and nine level model and its performance with induction motor as load has been analyzed for various modulation indices. The simulated results of the proposed structures are verified using MATLAB/SIMULINK platform. The characteristics such as stator current, rotor current speed and torque plots achieved as above model affirm that its performance is good. By then, the tracking time of the proposed work during reference speed change, load change and constant reference change is 0.185, 1.094 and 1.5 s. The tracking time of the VSI during reference speed change, load change and constant reference change is 0.5 s, 3.8 and 3.5 s. The tracking time of the MLI during reference speed change, load change and constant reference change is 0.2 s, 1.8 and 2 s.
随着拓扑结构和调制策略的更新,多电平逆变器的性能增强是大多数研究人员关注的一个主要课题。本文提出了两种适用于双向负载的新型混合型双向多电平逆变器结构。对于这些新引入的结构,实现了电压电平的提高和元件数量的减少。模块化扩展和串联级联是用于扩展电压电平的建议系统。大多数工业驱动器的主要要求是受控输出。VSI馈电感应电机驱动满足这一要求。将多载波PWM技术应用于基本的双向七电平模型和九电平模型,分析了其在感应电机为负载的情况下对各种调制指标的性能。利用MATLAB/SIMULINK平台对所提出的结构进行了仿真验证。通过上述模型获得的定子电流、转子电流速度和转矩曲线等特性表明,该模型具有良好的性能。到那时,所提出的工作在参考速度变化、负载变化和恒定参考变化期间的跟踪时间分别为0.185、1.094和1.5 s.VSI在参考速度变化、负载变化和恒定参考变化期间的跟踪时间为0.5 s、 3.8和3.5 s.参考速度变化、负载变化和恒定参考变化期间MLI的跟踪时间为0.2 s、 1.8和2 s
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引用次数: 0
Simulation aided design of a high efficient GaSb based single-junction solar cell 高效GaSb基单结太阳能电池的仿真辅助设计
Q2 Engineering Pub Date : 2023-01-10 DOI: 10.1556/1848.2022.00494
Fatima Zahra Kharchich, A. Khamlichi
Owing to their elevated absorption coefficient, superior resistance to radiation and reduced effective electron mass, gallium antimonide (GaSb) semiconductors were documented to be suitable for photovoltaic systems applications. However, they were found to suffer from low efficiency. This work has been dedicated to enhance the design of GaSb based single-junction solar cells having window and back surface field made from AlGaAsSb material. The purpose is to maximize their electrical performance by considering doping and thickness of layers as design variables. A methodology of optimization was proposed. It is based on computer aided design through simulations performed under SILVACO-ATLAS software and a numerical procedure that was developed to achieve optimal design of this particular solar cell. The approach encompasses analysis of variance and derivation of response surface models to get explicit expression of the objective function corresponding to efficiency. The obtained results have shown an efficiency which is higher than all the previous known values established in literature.
由于其提高的吸收系数、优异的抗辐射性和降低的有效电子质量,锑化镓(GaSb)半导体被证明适用于光伏系统应用。然而,他们被发现效率低下。这项工作致力于增强由AlGaAsSb材料制成的具有窗口和背面场的GaSb基单结太阳能电池的设计。其目的是通过将掺杂和层的厚度作为设计变量来最大化它们的电性能。提出了一种优化方法。它基于计算机辅助设计,通过在SILVACO-ATLAS软件下进行的模拟和为实现这种特定太阳能电池的优化设计而开发的数值程序。该方法包括方差分析和响应面模型的推导,以获得与效率相对应的目标函数的显式表达式。所获得的结果显示出的效率高于文献中建立的所有先前已知的值。
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引用次数: 2
Readjustment of a robot for educational purposes 为教育目的而重新调整机器人
Q2 Engineering Pub Date : 2022-12-22 DOI: 10.1556/1848.2022.00506
Sándor Imre Szabó, L. Rónai
Development of control of a five degrees of freedom robot is discussed in this paper. Only two robots were made, and one of these is in the University of Miskolc. The robot was made in the 80s for educational purposes, the electronic components were obsolete and control software was missing, therefore it became necessary to perform hardware improvements, and develop a new control program. Inverse kinematics problem of the robot is solved by geometric approach to formulate the joint angles, which will form the basis of the control. A braking system containing electromagnets for the robot is constructed to balance it. A printed circuit board is designed to establish the control of the system, the central element is a Cypress PSoC 5LP platform. The development of the control program is performed in software PSoC Creator 4.4. The developed control system of the robot can receive instructions from a computer via a designed special purpose user program, which is written in Python programming language. Thanks to the improvements, the robot has become operational. Thus, the robot can serve educational purposes performing different manipulation tasks. By completing the developments, students can get to know the structure and programming of the robot, its inverse kinematics problem. This will require the development of practice-oriented tasks in the future.
本文讨论了五自由度机器人控制的发展。只有两个机器人被制造出来,其中一个在米斯柯克大学。该机器人是在80年代制造的,用于教育目的,电子元件已经过时,控制软件也不见了,因此有必要进行硬件改进,并开发新的控制程序。采用几何方法求解机器人的运动学逆问题,建立关节角度,为机器人的控制奠定基础。为机器人构建了一个包含电磁铁的制动系统来平衡它。设计了一块印刷电路板来建立对系统的控制,中心元件是Cypress PSoC 5LP平台。控制程序的开发在PSoC Creator 4.4软件中执行。开发的机器人控制系统可以通过设计的专用用户程序从计算机接收指令,该程序是用Python编程语言编写的。由于这些改进,机器人已经可以运行了。因此,机器人可以用于执行不同操作任务的教育目的。通过完成开发,学生可以了解机器人的结构和编程,以及其逆运动学问题。这将需要在未来制定以实践为导向的任务。
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引用次数: 0
Simplification of calibration of low-cost MARG sensors without high-precision laboratory equipment 在没有高精度实验室设备的情况下简化低成本MARG传感器的校准
Q2 Engineering Pub Date : 2022-12-21 DOI: 10.1556/1848.2022.00469
Abdelhay Sabir, A. Zakriti
In mechatronic-related applications, estimating orientation from a magnetic, angular rate, and gravity (MARG) sensor array is a significant topic. Representing attitude orientation is a well-known topic in the aerospace industry, where it plays a critical role in airplanes and unmanned aerial vehicles (UAVs), but it has also gained relevance in other sectors. However, most of the sensors utilized are quite expensive, heavy, and large, making them unsuitable for modest applications. This paper examines the performance of several sensors in low-cost hardware and high-acceleration environments. A theorical method was adopted to estimate Euler angles by using accelerometer, gyroscope and magnetometer, and a robust and easy to implement method calibration was proposed to calibrate the MARG sensor without any external equipment. An experimental verification of the proposed calibration method was completed. The experimental results are then interpreted to provide an insight to advantages and disadvantages for using each sensor separately.
在机电相关应用中,从磁、角速率和重力(MARG)传感器阵列估计方向是一个重要的课题。在航空航天工业中,表示姿态定向是一个众所周知的话题,它在飞机和无人驾驶飞行器(uav)中起着至关重要的作用,但它也在其他领域获得了相关性。然而,大多数使用的传感器都非常昂贵、笨重和庞大,使得它们不适合适度的应用。本文研究了几种传感器在低成本硬件和高加速环境下的性能。采用了一种利用加速度计、陀螺仪和磁强计来估计欧拉角的理论方法,并提出了一种鲁棒性好、易于实现的校准方法,实现了对MARG传感器不需要任何外部设备的校准。对所提出的标定方法进行了实验验证。然后对实验结果进行解释,以提供对分别使用每个传感器的优点和缺点的见解。
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引用次数: 0
An assessment of advanced DC-link based reversing voltage type multilevel inverter topologies 先进的基于直流环节的反向电压型多电平逆变器拓扑结构的评估
Q2 Engineering Pub Date : 2022-12-07 DOI: 10.1556/1848.2022.00448
S. Nagaraja Rao, B. Manjunatha, A. Suresh kumar, B. K. Kiran Kumar, R. Satish Kumar, S. Pranupa
In this paper, advanced DC-Link (DCL) based reversing voltage type Multilevel Inverter (MLI) topologies by compensating the difficulties in the conventional MLIs are reviewed. These topologies consist of less switching components and driver circuits when compared with conventional MLIs predominantly in higher levels. Consequently, installation area, total cost and hardware difficulties are reduced by increasing the voltage levels. The unipolar based Pulse Width Modulation Schemes (PWMS) will improve DCL inverters performance. This paper presents unipolar Multi-Reference (MR) based sine and space vector PWMS with single triangular carrier wave for generating required levels in output voltage. Comparison between UMR sine and space vector PWMS for DCL inverter topologies is presented in terms of Fundamental Output Voltage (FOV) and Total Harmonic Distortion (THD). The research tries to establish the survey analysis for single-phase 7-level DCL based reversing voltage type MLI topologies with UMR based sine and space vector PWMs. Finally, to confirm the feasibility of proposed DCL-MLIs in terms of FOV and THD the simulation results are incorporated. Further, the prototype model is developed for single-phase 7-level DCL inverter with Field Programmable Gate Array (FPGA) based UMR sine and space vector PWMS to authenticate simulation results. The efficiency of the proposed cascaded MLI achieves the value of 99.003%.
本文综述了通过补偿传统MLI中的困难而提出的先进的基于直流链路(DCL)的反向电压型多电平逆变器(MLI)拓扑。与主要在更高级别中的传统MLI相比,这些拓扑结构由更少的开关元件和驱动电路组成。因此,通过增加电压电平,减少了安装面积、总成本和硬件困难。基于单极的脉宽调制方案(PWMS)将提高DCL逆变器的性能。本文提出了一种基于单极多参考(MR)的正弦和空间矢量PWMS,具有单个三角形载波,用于产生所需的输出电压电平。从基本输出电压(FOV)和总谐波失真(THD)的角度对DCL逆变器拓扑结构的UMR正弦和空间矢量PWMS进行了比较。本研究试图建立基于UMR的正弦和空间矢量PWM的单相7电平DCL反向电压型MLI拓扑的调查分析。最后,为了验证所提出的DCL MLI在FOV和THD方面的可行性,结合了仿真结果。此外,利用基于现场可编程门阵列(FPGA)的UMR正弦和空间矢量PWMS,开发了单相7电平DCL逆变器的原型模型,以验证仿真结果。所提出的级联MLI的效率达到了99.003%。
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引用次数: 0
Novel simple algorithm for frequency planning and optimization in cellular networks 蜂窝网络频率规划与优化的一种新的简单算法
Q2 Engineering Pub Date : 2022-10-24 DOI: 10.1556/1848.2022.00435
Y. Alyouzbaki
One of the most expensive components of constructing a cellular network is frequency planning. The cost of building and maintaining a network will be reduced if a set of base stations can be established with minimal service and preparation. Planning and optimization are carried out to guarantee that the scarce frequency is used to its maximum capability. The goal of this paper is to provide an autonomous method for planning and optimizing frequency in cellular networks. The method substitutes the inefficient, inaccurate, and time-consuming manual method. The automatic technique makes work easier for radio frequency (RF) engineers and lowers operating costs. Also, this article provides an autonomous planning and optimization technique that reduces intra-system interference levels to acceptable levels within the key performance indicators (KPIs) set for any suitable cellular network.
构建蜂窝网络最昂贵的组成部分之一是频率规划。如果能够以最少的服务和准备工作建立一组基站,就可以减少建立和维护网络的成本。通过规划和优化,保证稀缺频率得到最大限度的利用。本文的目标是为蜂窝网络中的频率规划和优化提供一种自主方法。该方法可替代效率低、不准确、耗时长的手工方法。自动化技术使射频(RF)工程师的工作更容易,并降低了运营成本。此外,本文还提供了一种自主规划和优化技术,可将任何合适的蜂窝网络设置的关键性能指标(kpi)内的系统内干扰水平降低到可接受的水平。
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引用次数: 0
An IoT aware nature inspired Multilayer Hybrid Dropout Deep-learning paradigm for waste image classification and management 基于物联网感知的多层混合辍学深度学习模式,用于废物图像分类和管理
Q2 Engineering Pub Date : 2022-10-11 DOI: 10.1556/1848.2022.00390
M. Ramesh Kumar, K. Ashok Kumar, R. Surender, S. B. Melingi, C. Tamizhselvan
In this manuscript, the combination of IoT and Multilayer Hybrid Dropout Deep-learning Model for waste image categorization is proposed to categorize the wastes as bio waste and non-bio waste. The input captured images are pre-processed and remove noises in the captured images. Under this approach, a Nature inspired Multilayer Hybrid Dropout Deep-learning Model is proposed. Multilayer Hybrid Dropout Deep-learning Model is the consolidation of deep convolutional neural network and Dropout Extreme Learning Machine classifier. Here, deep convolutional neural network is used for feature extraction and Dropout Extreme Learning Machine classifier for categorizing the waste images. To improve the classification accurateness, Horse herd optimization algorithm is used to optimize the parameter of the Dropout Extreme Learning Machine classifier. The objective function is to maximize the accuracy by minimize the computational complexity. The simulation is executed in MATLAB. The proposed Multilayer Hybrid Dropout Deep-learning Model and Horse herd optimization algorithm attains higher accuracy 39.56% and 42.46%, higher Precision 48.74% and 34.56%, higher F-Score 32.5% and 45.34%, higher Sensitivity 24.45% and 34.23%, higher Specificity 31.43% and 21.45%, lower execution time 0.019(s) and 0.014(s) compared with existing waste management and classification using convolutional neural network with hyper parameter of random search optimization algorithm waste management and classification using clustering approach with Ant colony optimization algorithm. Finally, the proposed method categorizes the waste image accurately.
本文提出了将物联网与多层混合辍学深度学习模型相结合的垃圾图像分类方法,将垃圾分为生物垃圾和非生物垃圾。对输入捕获的图像进行预处理,去除捕获图像中的噪声。在此基础上,提出了一种自然启发的多层混合辍学深度学习模型。多层混合Dropout深度学习模型是深度卷积神经网络和Dropout极限学习机分类器的整合。在这里,使用深度卷积神经网络进行特征提取,使用Dropout Extreme Learning Machine分类器对垃圾图像进行分类。为了提高分类准确率,采用马群优化算法对Dropout极限学习机分类器的参数进行优化。目标函数是通过最小化计算复杂度来实现精度最大化。在MATLAB中进行了仿真。本文提出的多层混合Dropout深度学习模型和马群优化算法准确率分别为39.56%和42.46%,精密度分别为48.74%和34.56%,F-Score分别为32.5%和45.34%,灵敏度分别为24.45%和34.23%,特异性分别为31.43%和21.45%。与现有的利用卷积神经网络进行垃圾管理和分类的超参数随机搜索优化算法相比,利用聚类方法进行垃圾管理和分类的蚁群优化算法的执行时间分别降低0.019(s)和0.014(s)。最后,该方法对垃圾图像进行了准确的分类。
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引用次数: 0
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International Review of Applied Sciences and Engineering
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