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Geothermal Heat Pumps: Principles and Applications 地源热泵:原理和应用
Pub Date : 2022-02-21 DOI: 10.1109/ASET53988.2022.9734907
Mamdouh El Haj Assad, Maryam Nooman AlMallahi, A. Ramadan, M. Awad, O. Rejeb, M. Alshabi
Usually buildings consume large amount of electricity for heating and cooling purposes, which can reach higher than 40%. Heat pumps are highly efficient devices that are used to lower energy consumption because they just require a little amount of electric power to trans-fer heat from a lower to a higher temperature source, which is the opposite of the natural flow. Green-house gas emissions can be reduced consequently if the electric power input is supplied from renewable energy sources such as hydropower, geothermal or solar energy. These devices can provide two to six times more energy output from the input energy required for system operation. Thermodynamic analysis is done for heating and cooling cycles of the heat pumps. Moreover, the different types and configurations will be discussed in addition to its various applications in real life. At the end, it is a useful device that can be used to lower energy consumption and emissions.
通常建筑物用于供暖和制冷的耗电量很大,可达40%以上。热泵是一种高效的设备,用于降低能源消耗,因为它们只需要少量的电力将热量从较低的温度源传递到较高的温度源,这与自然流动相反。因此,如果输入的电力来自水电、地热或太阳能等可再生能源,则可以减少温室气体排放。这些设备可以提供比系统运行所需的输入能量多两到六倍的能量输出。对热泵的加热和冷却循环进行了热力学分析。此外,除了在现实生活中的各种应用之外,还将讨论不同的类型和配置。最后,它是一个有用的装置,可以用来降低能源消耗和排放。
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引用次数: 0
Artificial Intelligence: Future of Firearm Examination 人工智能:枪支检查的未来
Pub Date : 2022-02-21 DOI: 10.1109/ASET53988.2022.9735105
Moza Kudonu, Mohammad A. AlShamsi, S. Philip, Gursirat Khokhar, Parli B. Hari, Nrashant Singh
The current standard procedure for firearm examination is to compare two gunshot samples, one from the crime scene and the other from a firearm test shot. A bullet recovered at a crime scene can be studied using a comparison microscope, which allows a ballistics examiner to determine and compare the bullet to ascertain its source and if it was shot from the same firearm, which is a subjective analysis. The purpose of this research is to evaluate the approach of artificial intelligence for the examination of bullets to obtain an objective analysis. An effort was made through this research to evaluate the aims of artificial intelligence in forensic ballistics and to examine the class characteristics such as rifling marks and individual characteristics of a bullet and include a method of recommendation. The end-point objectives of this review are improvements and alterations to enhance the examination of a submitted bullet using the latest technological innovation such as a virtual microscope, quantum 3D microscope, and artificial intelligence expert systems. In conclusion, we discussed the use and relevance of advanced technologies to help obtain a reliable assessment of the bullet comparison other than the conventional methods.
目前枪支检查的标准程序是比较两个枪击样本,一个来自犯罪现场,另一个来自枪支测试射击。在犯罪现场发现的子弹可以使用比较显微镜进行研究,这使得弹道学检查员可以确定和比较子弹,以确定其来源,以及是否来自同一支枪,这是一种主观分析。本研究的目的是评估人工智能对子弹检测的方法,以获得客观的分析。通过这项研究,我们努力评估人工智能在法医弹道学中的目的,并检查子弹的类别特征,如膛线痕迹和个体特征,并包括一种推荐方法。本综述的最终目标是使用最新的技术创新,如虚拟显微镜、量子3D显微镜和人工智能专家系统,改进和改变以加强对提交子弹的检查。总之,我们讨论了先进技术的使用和相关性,以帮助获得可靠的评估,而不是传统方法的子弹比较。
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引用次数: 1
Assessing the Impact of Gamification in Higher Education: An Experimental Study using Kahoot! and Nearpod During COVID-19 Pandemic 评估游戏化对高等教育的影响:一项使用Kahoot!和Nearpod在COVID-19大流行期间
Pub Date : 2022-02-21 DOI: 10.1109/ASET53988.2022.9734892
Aneesa Al Redhaei, M. Awad, Khouloud Salameh
The COVID-19 pandemic has imposed rapid and significant changes upon education systems. Most educational institutions transferred abruptly from traditional face-to-face delivery to distance learning formats through virtual classrooms. As a result of this shift, many faculty members have faced challenges in keeping their students engaged during lectures. Gamification is often proposed as a promising solution to enhance student motivation, engagement, and learning outcomes attainment. This study investigates the effectiveness of the gamification mechanism on undergraduate students in a computer programming course using Kahoot! and Nearpod during distance learning. The findings of the study show that there is some correlation between student engagement, learning motivation, academic performance, and the use of gamification.
2019冠状病毒病大流行给教育系统带来了迅速而重大的变化。大多数教育机构突然从传统的面对面授课转变为通过虚拟教室进行远程学习。由于这种转变,许多教师都面临着让学生在讲课时投入的挑战。游戏化通常被认为是一种很有前途的解决方案,可以提高学生的积极性、参与度和学习成果。本研究探讨了游戏化机制对大学生在计算机程序设计课程中的有效性。和Nearpod在远程教育中的应用。研究结果表明,学生参与、学习动机、学习成绩和游戏化的使用之间存在一定的相关性。
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引用次数: 0
The Design of Vibration Nomograph for the Vehicle Vibrations Affecting Man 影响人体的车辆振动曲线的设计
Pub Date : 2022-02-21 DOI: 10.1109/ASET53988.2022.9735120
N. Khan, Saleh Ahmad, M. Janjua, A. Mennad
A severity analysis is made to evaluate the effect of corresponding shock or transient vibration on the man on the vehicle passing through a series of road bumps. Road bumps cause undesirable human vibrations due to vehicle vibration meant to limit the vehicle speed. In this study, vehicle vibrations are first computed following the vibration analysis procedure, in which equations of motion are solved using MATLAB. A light vehicle is employed to record vibration measurement using a triaxial accelerometer setup indigenously with data acquisition using a laptop. The total vibration level received at the vehicle is evaluated through the design of the Vibration Nomograph based on ISO 2631 to assess the harmful and/or dangerous levels of vibration. It is found that if human beings are exposed to this level vibration for a more extended period of 12-h or more, they will be facing health hazards such as effects on the central nervous system and musculoskeletal diseases.
对车辆通过一系列道路颠簸时,相应的冲击或瞬态振动对人的影响进行了严重程度分析。由于车辆的振动,道路颠簸会导致不希望的人体振动,这意味着限制车辆的速度。在本研究中,首先根据振动分析程序计算车辆振动,并利用MATLAB求解运动方程。使用轻型车辆记录振动测量,使用本地设置的三轴加速度计,使用笔记本电脑进行数据采集。通过基于ISO 2631的振动Nomograph设计来评估车辆接收的总振动水平,以评估有害和/或危险的振动水平。研究发现,如果人类暴露在这种水平的振动中12小时或更长时间,他们将面临诸如中枢神经系统和肌肉骨骼疾病的影响等健康危害。
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引用次数: 0
Fault Detection and Identification Based on Image Processing and Deep Learning 基于图像处理和深度学习的故障检测与识别
Pub Date : 2022-02-21 DOI: 10.1109/ASET53988.2022.9734799
A. Jarndal, Mahamad Salah Mahmoud, Omar Mohammad Abbas
Fault detection approaches based on computer vision have been utilized in a variety of applications, including maintaining high quality control in industrial manufacturing processes and detecting defects in inaccessible or isolated systems. However, various systems have been utilized for each application. In this research, we present a fault detection approach based on computer vision and deep learning that can be used for a variety of applications. We tested our model on three distinct datasets of different engineering problems. A MobileNetV2 based convolutional neural network model was applied on different engineering problems related photovoltaic solar, manufacture of magnetic tiles and electrical commuter systems. The results obtained for these three cases are: 85 percent, 92 percent, and 92 percent, respectively.
基于计算机视觉的故障检测方法已经在各种应用中得到了应用,包括在工业制造过程中保持高质量控制,以及在不可访问或孤立的系统中检测缺陷。但是,每个应用程序都使用了不同的系统。在这项研究中,我们提出了一种基于计算机视觉和深度学习的故障检测方法,可用于各种应用。我们在三个不同工程问题的不同数据集上测试了我们的模型。将基于MobileNetV2的卷积神经网络模型应用于光伏太阳能、磁瓦制造和电力通勤系统等工程问题。这三种情况得到的结果分别是:85%、92%和92%。
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引用次数: 0
Smart Artificial-Intelligence Based Self-Care-Device for Diabetic Patients 基于人工智能的糖尿病患者自我护理智能装置
Pub Date : 2022-02-21 DOI: 10.1109/ASET53988.2022.9734874
Saif K. Almulla, Omar Zaatar, Hamad S. Ahmed, Noor ul Misbah Khanum, A. Jarndal
The prevalence of diabetes has been consistently increasing over the past decades. While implementation of sensor-based systems for managing diabetes is on the rise, manual monitoring efforts are still required in case of abnormal fluctuations in the blood glucose levels due to lack of intelligent systems. This paper presents an incremental research work developed on top of a previous work to build a smart system. The proposed system helps in managing Type-1 diabetes using future predictions to avoid hypoglycemia or hyperglycemia. It presents a smart healthcare device for diabetic patients with the ability of intelligently controlling the insulin dosage each time during automatic injection to maintain normal blood glucose levels. The system consists of an insulin pump, a continuous glucose monitor (CGM), and a microprocessor unit which utilizes artificial intelligence (AI) based algorithms to predict future blood glucose levels to avoid serious conditions. The prediction feature used in the proposed system distinguishes it from other commercially available products. Furthermore, the proposed system monitors the blood glucose levels of the patient and notifies the patient in case of critical conditions. It can also send a summarized report to the healthcare center and provide the patient with a timeline of collected data and insulin dosages injected. The device was implemented and tested with very good results.
在过去的几十年里,糖尿病的患病率一直在持续上升。虽然基于传感器的糖尿病管理系统的实施正在增加,但由于缺乏智能系统,如果血糖水平出现异常波动,仍然需要人工监测。本文在前人研究的基础上,提出了一种构建智能系统的增量式研究方法。提出的系统有助于管理1型糖尿病使用未来预测,以避免低血糖或高血糖。为糖尿病患者提供一种智能医疗保健设备,能够在自动注射过程中智能控制每次胰岛素的剂量,维持正常的血糖水平。该系统由胰岛素泵、连续血糖监测仪(CGM)和微处理器组成,微处理器利用基于人工智能(AI)的算法来预测未来的血糖水平,以避免严重的情况。所提出的系统中使用的预测特征将其与其他市售产品区分开来。此外,该系统还可以监测患者的血糖水平,并在危急情况下通知患者。它还可以向医疗中心发送汇总报告,并向患者提供收集数据和注射胰岛素剂量的时间表。该装置的实施和测试取得了很好的效果。
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引用次数: 0
Evaluating Patient Safety Drivers using Decision Trees 使用决策树评估患者安全驱动因素
Pub Date : 2022-02-21 DOI: 10.1109/ASET53988.2022.9735129
Bakhita Alderei, Ragheb Nammari, M. A. Alalami, C. Rodrigues, Abroon Qazi, Mecit Can Emre Simsekler
This study aims to identify the drivers of patient safety challenges in healthcare. Hospital-level aggregate survey data from the UK hospital is used to identify what drives the number of reported incidents affecting patient safety. Leveraging a decision tree algorithm, our results suggest that the role of teamwork and safety culture in incident reporting and investigation are the most critical dimensions influencing the number of reported patient safety challenges. The decision tree algorithm can be useful for hospitals to enhance patient safety through data-driven approaches and direct resources towards service improvements.
本研究旨在确定医疗保健中患者安全挑战的驱动因素。来自英国医院的医院级汇总调查数据用于确定影响患者安全的报告事件数量的驱动因素。利用决策树算法,我们的研究结果表明,团队合作和安全文化在事件报告和调查中的作用是影响报告的患者安全挑战数量的最关键维度。决策树算法可以帮助医院通过数据驱动的方法提高患者安全,并将资源用于改善服务。
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引用次数: 0
Understanding students’ transition in mathematical thinking in algebra: The three worlds of mathematics 理解学生在代数中的数学思维转变:数学的三个世界
Pub Date : 2022-02-21 DOI: 10.1109/ASET53988.2022.9734941
Dhanya Surith
This study uses three worlds of mathematics framework proposed by [3], which explains the progression of human mathematical thinking from embodied, symbolic and formal worlds of mathematics. To understand the mathematical thinking of the first year undergraduate students learning algebra, this study focuses on embodied and symbolic thinking aspects of the three worlds framework, and explains transitional mathematical thinking. Written tasks and online surveys are used to understand the development of mathematical thinking in algebra. Transitions in student mathematical thinking from the embodied to the symbolic world and symbolic to the embodied are explained analyzing the written tasks. Results suggest that students’ mathematical thinking is at more ease with transition from embodied to symbolic compared to the transition from symbolic to the embodied.
本研究采用[3]提出的三个数学世界框架,解释了人类数学思维从具象世界、符号世界和形式世界的发展过程。为了了解大一本科生学习代数的数学思维,本研究从三个世界框架的具身思维和符号思维两个方面进行研究,并对过渡数学思维进行解释。书面任务和在线调查被用来了解代数中数学思维的发展。通过对写作任务的分析,说明了学生数学思维从具象世界到符号世界、从符号世界到具象世界的转变。结果表明,学生的数学思维从具身到符号的过渡比从符号到具身的过渡更容易。
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引用次数: 0
Ringdown analysis for Low-Frequency Oscillation Identification 低频振荡识别的衰荡分析
Pub Date : 2022-02-21 DOI: 10.1109/ASET53988.2022.9735122
M. Al-Momani, Abdullal Odienate, Seba F. Algharaibeh, Khaled Awasa, I. Reda
In this paper, three different Rind Down analysis methods are used to pre-process an online wide-area damping controller. A modified Linear Prediction criteria (LPC) method is proposed to handle latency delay and data dropout in the communication channels, Prony and MC-Brid methods are used to estimate the eigenvalues of the low-frequency oscillation modes, and adaptive buffer size for Prony and MC-Bride methods is proposed to decrease the necessity to the offline damping controller. Then, the transfer function of the oscillation mode is extracted from these methods, and a simple order reduction technique is applied (zero-pole cancellation) to obtain a low order transfer function for the wide-area controller.
本文采用三种不同的Rind - Down分析方法对在线广域阻尼控制器进行预处理。提出了一种改进的线性预测准则(LPC)方法来处理通信信道中的延迟和数据丢失,使用Prony和MC-Bride方法来估计低频振荡模式的特征值,并提出了Prony和MC-Bride方法的自适应缓冲区大小以减少对离线阻尼控制器的必要性。然后,从这些方法中提取振荡模态的传递函数,并采用简单的降阶技术(零极抵消)获得广域控制器的低阶传递函数。
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引用次数: 1
Flexural Response of CFST Beams with Incorporated DCLs 加入dcl的CFST梁的弯曲响应
Pub Date : 2022-02-21 DOI: 10.1109/ASET53988.2022.9734909
Salem Khalaf, Ahmad O. El Masri, Faisal Alhendi, F. Abed
Concrete Filled Steel Tubes (CFSTs) have been studied and used for a long time since it confines the concrete inside which significantly increases its mechanical properties. Most current studies focus on the axial behaviour of CFST. Furthermore, there are few experiments that incorporate recycled and waste materials in the concrete mix of CFST beams. This study aims to evaluate the flexural response of CFST beams that incorporate Demolished Concrete Lumps (DCLs) in a unique arrangement to minimize their effect on different mechanical properties. Seven circular CFST specimen were casted and tested under bending using the four-point bending test, where the Universal Testing Machine (UTM) was utilized. Different DCL sizes and occupied areas are considered in this study. The CFST beams are evaluated by plotting moment vs. deflection and moment vs. microstrain curves, and the specimens are then compared by assessing the capacity, ductility, and stiffness.
钢管混凝土(CFSTs)由于其对混凝土内部的限制,大大提高了混凝土的力学性能,已经被研究和使用了很长时间。目前的研究大多集中在钢管混凝土的轴向性能上。此外,在CFST梁的混凝土配合比中加入回收材料和废弃材料的实验很少。本研究旨在评估将拆除混凝土块(DCLs)以独特的排列方式纳入CFST梁的弯曲响应,以尽量减少其对不同力学性能的影响。采用万能试验机(Universal Testing Machine, UTM)进行了7个圆形钢管混凝土试件的浇铸和四点弯曲试验。本研究考虑了不同的DCL大小和占用面积。通过绘制弯矩与挠度曲线和弯矩与微应变曲线对CFST梁进行评估,然后通过评估承载力、延性和刚度对试件进行比较。
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引用次数: 0
期刊
2022 Advances in Science and Engineering Technology International Conferences (ASET)
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