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Implementation of Analytical Hierarchy Process for Recommendations of Islamic Venues 伊斯兰场馆推荐层次分析法的实施
Q2 Engineering Pub Date : 2022-10-06 DOI: 10.30534/ijeter/2022/0210102022
Walimah is an event that is carried out as an expression of gratitude after the ceremony is held, such as preparing a banquet for invited guests. Constraints that often occur by many prospective partners are experiencing difficulties in finding a wedding location that fits the needs and criteria that are considered according to the Sharia. So that many of them prepare all their Islamic wedding needs through a syar'i wedding organizer, one of which is related to Neosmotion Studio. Neosmotion Studio is a studio company that is directly related to wedding organizer syar'i in implementing the syar'i walimah. From this problem, it is necessary to have a method to get a recommendation for a location in accordance with the criteria for the bride and groom. The method used in this research is Analytical Hierarchy Process (AHP) by involving alternative places and criteria which are weighted and normalized in determining them. The results of this study obtained, the value of the highest criteria weight includes distance to the mosque (38.76%), cost (31.24%) and facilities (12.13%). From the prioritized criteria, we obtained recommendations for locations in various areas of DKI Jakarta, such as the At Taqwa Mosque in South Jakarta and the Sunda Kelapa Grand Mosque in Central Jakarta with a final score of 91.2775, the Manarul Amal Mosque in West Jakarta with a final score of 94.8514 and the Baitus Mosque. Greetings in East Jakarta with 89,7780.
Walimah是在仪式举行后为表达感激而进行的活动,例如为受邀客人准备宴会。许多潜在伴侣经常遇到的限制是,很难找到符合伊斯兰教法所考虑的需要和标准的婚礼地点。因此,他们中的许多人通过一个伊斯兰婚礼组织者来准备他们所有的伊斯兰婚礼需求,其中一个与Neosmotion Studio有关。Neosmotion Studio是一家与婚礼组织者syar'i在实施syar'i walimah方面直接相关的工作室公司。从这个问题来看,有必要有一种方法,根据新娘和新郎的标准得到一个推荐的位置。本研究使用的方法是层次分析法(AHP),该方法涉及可选地点和标准,并对其进行加权和归一化确定。本研究得到的结果是,最高标准权重值包括到清真寺的距离(38.76%)、成本(31.24%)和设施(12.13%)。根据优先级标准,我们获得了雅加达DKI各个地区的位置推荐,例如雅加达南部的At Taqwa清真寺和雅加达中部的Sunda Kelapa大清真寺,最终得分为91.2775,雅加达西部的Manarul Amal清真寺,最终得分为94.8514,以及拜图斯清真寺。东雅加达的问候,89,7780。
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引用次数: 0
Design and Simulation of Grid-Connected Photovoltaic Single-Phase Inverters 并网光伏单相逆变器的设计与仿真
Q2 Engineering Pub Date : 2022-10-06 DOI: 10.30534/ijeter/2022/0410102022
This paper focuses on a new control strategy for single-phase photovoltaic inverters connected to the electrical power distribution network. The inverter studied is single-phase H bridge, equipped with a robust control strategy by sinusoidal duty cycle modulation. This new control strategy offers the advantage over the control strategy. Most used control in its first approximation (PWM control technique): A low Hardware complexity; a variable modulation frequency/period; a topology of modulation with feedback. This inverter structure is further composed of the robust PI controllers, a boost chopper and an LCL filter. The low voltage electrical network to which this inverter is connected is materialized and simulated by a voltage source of characteristics 230V-15A-50Hz and synchronized to the latter by a phase-locked loop (PLL). In this article, the main components of the grid-connected PV power plant are modeled and simulated under Matlab/Simulink as well as the simulation of the global behavior of the entire network+PV inverter and the results obtained are presented.
本文重点研究了一种连接到配电网的单相光伏逆变器的新控制策略。所研究的逆变器是单相H桥,配备了正弦占空比调制的鲁棒控制策略。这种新的控制策略提供了优于控制策略的优点。最常用的一阶近似控制(PWM控制技术):硬件复杂度低;可变调制频率/周期;具有反馈的调制拓扑。该逆变器结构进一步由鲁棒PI控制器、升压斩波器和LCL滤波器组成。该逆变器所连接的低压电网由特性为230V-15A-50Hz的电压源实现和模拟,并通过锁相环(PLL)与后者同步。本文在Matlab/Simulink下对并网光伏电站的主要部件进行了建模和仿真,并对整个网络+光伏逆变器的全局行为进行了仿真,并给出了仿真结果。
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引用次数: 0
Evaluating Performance of Medium High Electricity Distribution through FMECA Method 用FMECA方法评价中高压配电的性能
Q2 Engineering Pub Date : 2022-09-07 DOI: 10.30534/ijeter/2022/021092022
Major electricity distribution falls in medium-high power with 20 kV networks. They serve major industries and residential areas that serve entire customers. Due to its importance, however, these networks dealing with many potential unknown problems; and deliver severe impacts to company revenues. Operating and maintaining mediumhigh power system are not easy tasks since they involve with unknown and unpredictable disturbances. Any potential distribution may bring down entire networks. So it is important for every utility company to ensure the medium-high power networks properly managed and anticipated to any potential disturbances. The article applies FMECA method to identify and analyse any potential problems that may disturb the power networks. FMECA method has advantages to provide recommendation and systematic preventive steps for network operation and maintenance team. The outcome of the article is expected to be used as a reference for technicians to anticipate the potential problems far before it happens.
主要的配电属于中高功率和20 kV电网。他们服务于主要行业和住宅区,为整个客户服务。然而,由于其重要性,这些网络处理了许多潜在的未知问题;并对公司收入产生严重影响。操作和维护中高功率系统并非易事,因为它们涉及未知和不可预测的干扰。任何潜在的分发都可能导致整个网络瘫痪。因此,对于每一家公用事业公司来说,确保中高功率网络得到妥善管理和预测任何潜在干扰都很重要。本文应用FMECA方法来识别和分析任何可能干扰电网的潜在问题。FMECA方法有利于为网络运维团队提供建议和系统的预防措施。这篇文章的结果有望作为技术人员在潜在问题发生之前预测潜在问题的参考。
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引用次数: 0
Study of Generative Adversarial Networks for Acoustic Signal Enhancement: A Review 声信号增强的生成对抗网络研究综述
Q2 Engineering Pub Date : 2022-09-07 DOI: 10.30534/ijeter/2022/011092022
Acoustic signals enhancement is an important research topic. It has many applications like cochlear implants, speech and speaker recognition, hearing aids, mobile phones etc. The signals processed by these system are always susceptible to noises. Hence, algorithms are required to extract clean signal from noisy ones. Nowadays , deep neural network are the most sought after tool for signal enhancement. Generative Adversarial Network(GAN) is also one of the recent approaches applied to signal enhancement domain. More work is performed by GANs in image and video processing. To the best of my knowledge no review work on the usage of GANs for acoustic signal enhancement have been done. This paper is a review on the use of GANs for acoustical signals enhancement where speech signal is used as acoustic signal. The paper provides in a summarized manner about the basic GAN architectures and its limitations, feature sets used as input to GAN, limitations, performance evaluation measures and future directions.
声信号增强是一个重要的研究课题。它有许多应用,如人工耳蜗、语音和说话人识别、助听器、手机等。这些系统处理的信号总是容易受到噪声的影响。因此,需要从噪声信号中提取干净信号的算法。目前,深度神经网络是最受欢迎的信号增强工具。生成对抗网络(GAN)也是近年来应用于信号增强领域的方法之一。gan在图像和视频处理方面做了更多的工作。据我所知,还没有关于gan用于声信号增强的综述工作。本文综述了gan在声信号增强中的应用,其中语音信号作为声信号。本文概述了GAN的基本架构及其局限性,作为GAN输入的特征集,局限性,性能评估措施和未来方向。
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引用次数: 0
Effects of collaboration on students’ learning using Intelligent Tutoring System 智能辅导系统中协作对学生学习的影响
Q2 Engineering Pub Date : 2022-08-10 DOI: 10.30534/ijeter/2022/021082022
Computer-based learning tools called Intelligent Tutoring Systems (ITS) assist students to become better learners by simulating human tutors using Artificial Intelligence (AI) approaches. Students can interact using collaborative ITSs from various locations to study, discuss, and articulate concepts relevant to a certain problem. This paper presents a collaborative ITS to teach UML that is built to enable students to effectively communicate and share each other's mistakes. The ITS is capable of detecting and identifying student errors and offers students suggestions during the problem-solving stage, giving them guidance on how to proceed. The ITS also determines a student's current level of thinking and intellect in order to assign them activities that need more attention. The evaluations conducted for this study revealed that the experimental group had considerably more learning gains (81% scores on the posttest) than the control group, where students only showed a very low significant change in their learning with posttest scores of 46%
基于计算机的学习工具称为智能辅导系统(ITS),通过使用人工智能(AI)方法模拟人类导师,帮助学生成为更好的学习者。学生可以使用来自不同地点的协作IT进行互动,以研究、讨论和阐明与某个问题相关的概念。本文提出了一个协作ITS来教授UML,该系统旨在使学生能够有效地交流和分享彼此的错误。ITS能够检测和识别学生的错误,并在解决问题的阶段为学生提供建议,指导他们如何进行。ITS还决定了学生当前的思维和智力水平,以便为他们安排需要更多关注的活动。为这项研究进行的评估显示,实验组比对照组有更多的学习收获(81%的后测得分),在对照组中,学生的学习变化非常小,后测得分为46%
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引用次数: 1
The Use of Internet of Things (IoT) in e-Commerce 物联网(IoT)在电子商务中的应用
Q2 Engineering Pub Date : 2022-08-10 DOI: 10.30534/ijeter/2022/011082022
Internet of thing (IoT) is a concept of technology that has a purpose or benefit in providing access to information and communication on a large scale and also allows controlling several objects that can interconnect and form systems that can help human work in various fields and in various fields. profession.
物联网(IoT)是一种技术概念,其目的或利益在于提供大规模的信息和通信访问,并且还允许控制可以相互连接并形成系统的多个对象,这些对象可以帮助人类在各个领域和各个领域工作。的职业。
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引用次数: 0
Advantages of TOGAF as a Common Frameworks for Higher Education Institution TOGAF作为高等教育机构通用框架的优势
Q2 Engineering Pub Date : 2022-08-10 DOI: 10.30534/ijeter/2022/041082022
mplementation of Enterprise Architecture in Higher Education Institutions (HEI) has become an essential and priority concern due to competitiveness, process complexity, and stakeholder challenges. There are several EA frameworks that available and commonly used. For higher education institution choosing right frameworks are an essential step. TOGAF is one of EA frameworks widely used by HEI. We were trying to identify some advantages of TOGAF from different literature.
由于竞争力、过程复杂性和利益相关者的挑战,在高等教育机构(HEI)中实施企业架构已成为一个重要和优先关注的问题。有几种可用且常用的EA框架。对于高等教育机构来说,选择正确的框架是至关重要的一步。TOGAF是HEI广泛使用的EA框架之一。我们试图从不同的文献中找出TOGAF的一些优点。
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引用次数: 0
Response of an Undamped Forced Oscillator via Rohit Transform 无阻尼强迫振荡器的Rohit变换响应
Q2 Engineering Pub Date : 2022-08-10 DOI: 10.30534/ijeter/2022/031082022
In this paper, the response of an undamped forced mechanical oscillator, as well as an undamped forced electrical oscillator, is obtained by the integral transform Rohit transform. This paper put forward a new technique for obtaining the response of an undamped forced mechanical oscillator as well as an undamped forced electrical oscillator and reveals that the Rohit transform is an effective technique for obtaining the response of an undamped forced mechanical oscillator as well as an undamped forced electrical oscillator.
本文通过积分变换Rohit变换得到了无阻尼强迫机械振荡器和无阻尼强迫电振荡器的响应。本文提出了一种获得无阻尼强迫机械振荡器和无阻尼强迫电振荡器响应的新技术,并揭示了Rohit变换是获得无阻尼强制机械振荡器和非阻尼强迫电振子响应的有效技术。
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引用次数: 1
Experimental Investigation Of Steel Fibre Reinforced Concrete Beam Using Gfrp Rebar Gfrp筋钢纤维混凝土梁的试验研究
Q2 Engineering Pub Date : 2022-07-12 DOI: 10.30534/ijeter/2022/011072022
The experimental investigation of flexural behaviour of SFRC beam reinforced with GFRP rebar and compared with steel reinforcement beams is presented in this project. Three beams were casted using SFRC and longitudinally reinforced with GFRP rebar. Three beams were casted with conventional concrete and steel bar. Six beams were casted and tested under two-point load. Along with beam, cube, cylinder and prism were casted and tested for compressive strength, split tensile and flexural strength. To improve the concrete’s property steel fibres were utilized. From testing of beam load vs deflection, load carrying capacity and stiffness were also calculated. The average load carrying capacity of GFRP rebar is 125.3kN and the average load carrying capacity of normal steel is 99.3kN.The highest deflection found in the GFRP rebar and standard steel reinforcement beam at their ultimate load is 21.5mm& 16.87mm respectively. It was also discovered GFRP beam returned to its original position
本工程对GFRP筋加固的钢纤维混凝土梁的抗弯性能进行了试验研究,并与钢筋加固梁进行了比较。三根梁采用SFRC浇筑,纵向用GFRP筋加固。三根梁是用传统的混凝土和钢筋浇筑的。6根梁在两点荷载下进行浇铸和试验。与梁一起铸造的还有立方体、圆柱体和棱柱体,并进行了抗压强度、劈裂抗拉强度和抗弯强度试验。为了提高混凝土的性能,采用了钢纤维。通过梁荷载与挠度的试验,计算了梁的承载能力和刚度。GFRP筋的平均承载力为125.3kN,普通钢的平均承载力为99.3kN。GFRP筋和标准钢筋梁在极限荷载下的最大挠度分别为21.5mm和16.87mm。还发现GFRP梁恢复到原来的位置
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引用次数: 0
Influence Analysis of Image Feature Selection Techniques Over Deep Learning Model 图像特征选择技术对深度学习模型的影响分析
Q2 Engineering Pub Date : 2022-07-12 DOI: 10.30534/ijeter/2022/031072022
The digital images are the data storage method which stores the real world information on a matrix based on pixels. The images are now become very valuable due to increasing applications in medical, engineering, and social. Therefore, Image processing and Classification plays an essential role. In this paper, we are investigating the employment of three different features i.e., shape, color and texture for image classification. In addition, the combined feature is also used for demonstrating the impact on classifier. The Deep learning based Convolutional Neural Network is used for feature and their combination classification. In this experiment, Diabetic Retinopathy Detection dataset is used.The performance of the model is evaluated in terms of accuracy which demonstrates the feature selection techniques are able to improve the classification accuracy and also minimize the resource utilization
数字图像是将真实世界的信息存储在基于像素的矩阵上的数据存储方法。由于在医学、工程和社会方面的应用越来越多,图像现在变得非常有价值。因此,图像处理与分类起着至关重要的作用。在本文中,我们研究了使用三种不同的特征,即形状,颜色和纹理进行图像分类。此外,还使用组合特征来演示对分类器的影响。基于深度学习的卷积神经网络用于特征及其组合分类。本实验使用糖尿病视网膜病变检测数据集。从准确率的角度对模型的性能进行了评价,表明特征选择技术能够在提高分类精度的同时最大限度地减少资源的利用
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引用次数: 0
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International Journal of Emerging Trends in Engineering Research
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