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Multibeam Array Antenna with Compact Size Butler Matrix for Millimeter-Wave Application 小型化巴特勒矩阵的毫米波多波束阵列天线
IF 0.6 Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-07-31 DOI: 10.30880/ijie.2023.15.03.014
Noorlindawaty Md Jizat, Yoshihide Yamada, Z. Yusoff
New radio wave technologies of millimeter-wave (mmWave), compact cell size, and multi beam base station are introduced with the recent development of the 5G mobile system. The Butler Matrix (BM) feed circuit is the most preferable candidate for the 5G mobile system since it can achieve multi beam radiationpatterns at the array antenna, provide structural compactness and produce good multi beams.The BM circuit is typically built on a single dielectric substrate. However, in this single-substrate structure, the micro strip line connecting several circuit elements in the BM spans over a large area, resulting in significant feeding loss in the millimeter frequency band.In this study, a compact size circuit configuration of BM is proposed, where the original single-substrate structure is modified into a two-substrate stacking structure. The via-hole is designed to connect the two substrates with minimal path loss. The BM is built for the 28 GHz band with four inputs and four outputs.The phase delay is optimized using via-hole to produce the phase difference of ±45º and ±135º. The coupling for the hybrid is -3 dB, while the transmission coefficient of -6 ± 3 is achieved from the BM structure and, the return loss (Sii) for both input and output ports are less than -10 dB. The two-substrate BM is combined with the rectangular patch antenna and the via-hole patch antenna in a planar configuration of 0.5 λ0spacing to obtain the radiation patterns. When the Port 1 through Port 4 of the BM are fed, four beams are created, with peak gains of 11.2 dBi, 9.87 dBi, 10.2 dBi, and 11.7 dBi, respectively, towards +16°, -35°, +39°, and -12°. The analysis includes the radiation performance from the ideal value and from the BM input. Three-dimensional representations of good multibeam radiation patterns are obtained after each input signal of the BM is fed
随着5G移动系统的发展,引入了毫米波、紧凑型小区和多波束基站等新的无线电波技术。Butler矩阵(BM)馈电电路是5G移动系统最优选的候选者,因为它可以在阵列天线处实现多波束辐射方向图,提供结构紧凑性并产生良好的多波束。BM电路通常构建在单个电介质衬底上。然而,在这种单基板结构中,连接BM中的几个电路元件的微带线跨越大面积,导致毫米频带中的显著馈电损耗。在本研究中,提出了一种紧凑尺寸的BM电路配置,将原来的单基板结构修改为两基板堆叠结构。过孔被设计为以最小的路径损耗连接两个基板。BM是为28 GHz频带构建的,具有四个输入和四个输出。使用通孔优化相位延迟,以产生±45º和±135º的相位差。混合装置的耦合为-3dB,而BM结构的传输系数为-6±3,输入和输出端口的回波损耗(Sii)均小于-10dB。将两个基板BM与矩形贴片天线和通孔贴片天线组合在0.5λ0间距的平面配置中,以获得辐射方向图。当BM的端口1至端口4馈电时,产生四个波束,峰值增益分别为11.2 dBi、9.87 dBi、10.2 dBi和11.7 dBi,分别朝向+16°、-35°、+39°和-12°。分析包括理想值和BM输入的辐射性能。在BM的每个输入信号被馈送之后,获得良好的多波束辐射图的三维表示
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引用次数: 0
COVID-19 Confirmed Cases Forecasting in Malaysia Using Linear Regression and Holt's Winter Algorithm 利用线性回归和Holt冬季算法预测马来西亚新冠肺炎确诊病例
IF 0.6 Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-07-31 DOI: 10.30880/ijie.2023.15.03.006
H. Hasri, Siti Armiza Mohd Aris, Robiah Ahmad, Celia Shahnaz
The 2019 coronavirus disease pandemic (COVID-19)has emerged and is spreading rapidly over the world.Therefore, it may be highly significantto have the general population tested for COVID-19. There has been a rapid surge in the use of machine learning to combat COVID-19 in the past few years, owing to its ability to scale up quickly, its higher processing power, and the fact that it is more trustworthy than peoplein certainmedicaltasks. In this study, we comparedbetweentwo different models: the Holt’s Winter(HW)model and the Linear Regression (LR) model.To obtain the data set of COVID-19, we accessed the website of the Malaysian Ministry of Health.From January 24th, 2020, through July 31st, 2021, daily confirmed instances were documented and saved in Microsoft Excel. Case forecasts for the next 14 days were generated in the Waikato Environment for Knowledge Analysis (WEKA), and the accuracy of the forecasting models was measured by means of the Mean Absolute Percentage Error (MAPE).According to the lowest value of performance indicators, the best model is picked. The results of the comparison demonstrate that Holt's Winter showed betterforecasting outcome than the Linear Regression model. The obtainedresultdepicted the forecasted model can be further analyzed for the purpose of COVID-19 preparation and control.
2019冠状病毒病大流行(新冠肺炎)已经出现,并正在全球迅速蔓延。因此,对普通人群进行新冠肺炎检测可能意义重大。在过去几年中,使用机器学习来抗击新冠肺炎的人数迅速增加,这是因为它能够快速扩大规模,具有更高的处理能力,而且它在某些医学领域比人们更值得信赖。在本研究中,我们比较了两种不同的模型:Holt's Winter(HW)模型和线性回归(LR)模型。为了获得新冠肺炎的数据集,我们访问了马来西亚卫生部的网站。从2020年1月24日到2021年7月31日,每天确诊的病例都被记录并保存在Microsoft Excel中。在怀卡托知识分析环境(WEKA)中生成了未来14天的案例预测,并通过平均绝对百分比误差(MAPE)来衡量预测模型的准确性。根据性能指标的最低值,选择最佳模型。比较结果表明,Holt的Winter模型比线性回归模型具有更好的预测效果。预测模型所获得的结果可以进一步分析,以用于新冠肺炎的准备和控制。
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引用次数: 0
Exploration Involving the Community in Upgrading Water Intake in Kampung Bongol, Tamparuli, Sabah, Malaysia 马来西亚沙巴州坦帕uli Kampung Bongol的社区参与改善取水的探索
IF 0.6 Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-07-31 DOI: 10.30880/ijie.2023.15.02.018
S. F. Zakaria, M. Simon, N. Bolong
This research focuses on an important project to upgrade the water supply system for a rural area in Kampung Bongol, Tamparuli, Sabah, Malaysia, with exceptional involvement of the communities. This village is located approximately 60 km away from Kota Kinabalu town center, and the journey takes around two hours by car. Despite its remote location and the challenging geographical surroundings of mountains, the village is conveniently situated near an existing catchment area. However, this village's current water distribution setup relies on outdated and inadequate tools, systems, and facilities, leading to water scarcity issues, particularly during drought periods. To address this problem effectively, a sustainable design consisting of a mini dam and a ramp pump was developed and implemented in this study. Combining these two elements ensures the rapid filling of the storage distribution tank and the provision of clean water to the residents. One noteworthy feature of this project is the utilization of a 2-inch Polyvinyl chloride (PVC) ramp pump, significantly reducing operational costs and eliminating theneed for fossil fuels. This design not only proves to be practical and sustainable but also encourages the active participation of the villagers. Despite financial constraints and technical challenges associated with the project's implementation in a remote location, the water upgrading initiative was completed within four months, thanks to the direct involvement of the community. As a result of this endeavour, a fully functional water distribution network using the newly designed system has been installed, ensuring a reliable water supply for the 200 villagers in Kampung Bongol.
本研究的重点是马来西亚沙巴州坦帕uli Kampung Bongol农村地区供水系统升级的一个重要项目,该项目特别涉及社区。这个村庄距离哥打京那巴鲁市中心约60公里,车程约两个小时。尽管它的位置偏远,地理环境具有挑战性,但村庄位于现有的集水区附近,交通便利。然而,该村目前的配水设施依赖于过时和不完善的工具、系统和设施,导致水资源短缺问题,特别是在干旱时期。为了有效地解决这一问题,本研究开发并实施了一个由迷你水坝和坡道泵组成的可持续设计。将这两个元素结合起来,确保了储水分配罐的快速填充,并为居民提供清洁的水。该项目的一个值得注意的特点是使用了一个2英寸聚氯乙烯(PVC)斜坡泵,大大降低了运营成本,并消除了对化石燃料的需求。这种设计不仅具有实用性和可持续性,而且鼓励了村民的积极参与。尽管在偏远地区实施该项目存在资金限制和技术挑战,但由于社区的直接参与,水升级计划在四个月内完成。由于这项努力,已经安装了一个使用新设计系统的功能齐全的供水网络,确保为甘榜邦戈尔的200名村民提供可靠的供水。
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引用次数: 0
COVID-19: Symptoms Clustering and Severity Classification Using Machine Learning Approach 新冠肺炎:使用机器学习方法进行症状聚类和严重程度分类
IF 0.6 Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-07-31 DOI: 10.30880/ijie.2023.15.03.001
Nurul Fathia Mohamand Noor, Herold Sylvestro Sipail, N. Ahmad, Bayram Annanurov, N. Mohd Noor
COVID-19 is an extremely contagious illness that causes illnesses varying from either the common cold to more chronic illnesses or even death. The constant mutation of a new variant of COVID-19 makes it important to identify the symptom of COVID-19 in order to contain the infection. The use of clustering and classification in machine learning is in mainstream use in different aspects of research, especially in recent years to generate useful knowledge on COVID-19outbreak. Many researchers have shared their COVID-19 data on public database and a lot of studies have been carried out. However, the meritof the dataset is unknown and analysis need to be carried by the researchers to check on its reliability. The dataset that is used in thisworkwas sourced from the Kaggle website. The data wasobtained through a survey collected from participants of various gender and age who had been to at least ten countries.There are four levels of severity based on the COVID-19 symptom, which was developed in accordance to World Health Organization (WHO)and the Indian Ministry of Health and Family Welfare recommendations. This paperpresented an inquiry on the dataset utilising supervised and unsupervised machine learning approaches in order to better comprehend the dataset.In this study, the analysisof the severity group based on theCOVID-19 symptomsusing supervised learning techniques employeda total of seven classifiers, namelythe K-NN, Linear SVM, Naive Bayes, Decision Tree (J48), Ada Boost, Bagging, and Stacking.For the unsupervised learning techniques, the clustering algorithm utilized in this work areSimple K-Means and Expectation-Maximization. From the result obtained from both supervised and unsupervised learning techniques, we observed that the result analysis yielded relatively poor classification and clustering results.The findings for the dataset analysed in this study donot appear to be providing the correctresult for the symptoms categorized against the severity levelwhich raises concerns about the validity and reliability of the dataset.
COVID-19是一种极具传染性的疾病,可导致各种疾病,从普通感冒到更慢性的疾病,甚至死亡。COVID-19新变体的不断突变使得识别COVID-19症状以控制感染变得非常重要。在机器学习中使用聚类和分类是不同研究方面的主流应用,特别是近年来用于生成有关covid -19疫情的有用知识。许多研究人员在公共数据库上分享了他们的新冠肺炎数据,并进行了大量研究。然而,数据集的价值是未知的,需要研究人员进行分析以检查其可靠性。本文中使用的数据集来自Kaggle网站。这些数据是通过一项调查获得的,调查对象来自不同性别和年龄的参与者,他们至少去过十个国家。根据世界卫生组织(WHO)和印度卫生和家庭福利部的建议,将新冠肺炎的症状分为4个严重程度。本文提出了利用监督和无监督机器学习方法对数据集进行查询,以便更好地理解数据集。在本研究中,基于covid -19症状的严重程度组分析使用了监督学习技术,共使用了7种分类器,即K-NN,线性支持向量机,朴素贝叶斯,决策树(J48), Ada Boost, Bagging和Stacking。对于无监督学习技术,本工作中使用的聚类算法是简单K-Means和期望最大化。从监督学习和非监督学习技术的结果来看,我们观察到结果分析产生了相对较差的分类和聚类结果。本研究分析的数据集的结果似乎没有为根据严重程度分类的症状提供正确的结果,这引起了对数据集有效性和可靠性的担忧。
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引用次数: 0
Hydraulic Conductivity of Mine Waste Treated Using Enzyme-Induced Calcite Precipitation Method Under Various Curing Conditions 不同养护条件下酶诱导方解石沉淀法处理矿山废弃物的导电性
IF 0.6 Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-07-31 DOI: 10.30880/ijie.2023.15.02.012
J. Makinda, K. Kassim, M. A. Hezmi, Nuraishah binti Zakaria
The hydraulic conductivity of mine waste soil is considered moderately high attributed to the high percentage of pore spaces. One of the risks associated with this poor property ispossibleintrusion of contaminated acid drainage into the groundwater or river. Biocementation using enzyme-induced calcite precipitation is a relatively new, more inventive, and environmentally sustainable method compared to the other techniques in improving soil properties. However, limited available data on how this method can be applied in improving heavy-metal contaminated mining wastes. This paper summarizes the effectofthis treatment,includingdifferent cementation concentrations, degree of compaction, curing temperatures and curingdurations in reducing the hydraulic conductivity of mining waste. Results obtained indicate a greater effect of 1.0M compared to 0.5Mconcentration, a degree of compaction of 80% compared to 70%,acuring temperature of 25 °C compared to 15 °C and 5 °C, and immediate reaction effect after 1then slowed down after 3 and 7-day curing. When compared to control samples, the reduction in hydraulic conductivity ranged from75.66to 97.14%. The positive result is attained due to the production of calcite, CaCO3that biocemented the soil particles together and reduced the pore spaces, indicated by their content obtained,ranging from 2.0-5.15% in the treated soil. Visualimages through SEM and spectra of x-ray diffraction confirmed the presence of CaCO3in soil particles. This work contributedsignificantly to the study of the properties of copper mine tailings in Ranau, Sabah, including the first study on biocementation of copper mine tailings. The method couldbe used to reduce the hydraulic conductivity of mining waste soils contaminated with heavy metals. Various scenarios such as curing temperature, duration, cementation concentration and degree of compaction have been proposed to optimize the effectiveness of the treatment.
由于孔隙率高,矿用废土的水导率适中。与这一不良属性相关的风险之一是污染的酸性排水可能侵入地下水或河流。与其他改善土壤性质的技术相比,利用酶诱导方解石沉淀进行生物胶结是一种相对较新的、更具创造性的、环境可持续的方法。但是,关于如何将这种方法应用于改善重金属污染的采矿废物的现有数据有限。本文综述了不同胶结浓度、压实程度、养护温度和养护时间对降低矿渣导水性的影响。结果表明,1.0M比0.5 m效果更好,压实度为80%比70%,固化温度为25℃比15℃和5℃,1 d后立即反应效果在3 d和7 d后减慢。与对照样品相比,水导率降低幅度为75.66%至97.14%。由于方解石和caco3的产生,使土壤颗粒生物胶结在一起,减少了孔隙空间,得到的含量表明,在处理过的土壤中,它们的含量在2.0-5.15%之间。通过扫描电镜和x射线衍射光谱的视觉图像证实了土壤颗粒中caco3的存在。这项工作对沙巴Ranau铜矿尾矿的性质研究做出了重大贡献,包括首次对铜矿尾矿的生物胶结进行了研究。该方法可用于降低重金属污染矿山废土的导水率。提出了养护温度、养护时间、胶结浓度和压实程度等多种方案来优化处理效果。
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引用次数: 0
Key Challenges and Strategies Towards Sustainable Infrastructure Development in Malaysia 马来西亚基础设施可持续发展面临的主要挑战和战略
IF 0.6 Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-07-31 DOI: 10.30880/ijie.2023.15.02.001
N. Mustaffa, N. S. Nor Shahrudin, Mohd Feisal Hafiz Abdul Aziz, Aminuddin Mustaffa
The world is fixated on climate change because of its damageto the environment and the ripple effect it can have on people's health and the economy. This study aims to delve into research focusingon sustainable infrastructure development in Malaysia, as well as the main obstacles and approaches to taking on such a task. This study used a mixed-methods system, which allowed for the collectiona large amount of data and made it easy to compare results from different settings. The study found that more people are aware of sustainable impact assessment in infrastructure projects and familiar with resilient,sustainable development than sustainable performance evaluation. The studies also showed that the main problems in implementing sustainability include minimising adverse hazards, financial and budget investment issues, as well as inadequate governance and management. The proposed measures are broken down into monetary, institutional, and organisational themes. Possible steps toward a more sustainable infrastructure involve increasing green investment and financing, fostering green policies and environmental regulations, promoting green technologies and materials, andgrowing capacity through improved awareness andtraining. The findings of this study provide construction stakeholders with insight into an analysis of existing methodologies and strategies for integrating sustainable infrastructure development. Resolving obstacles and refining implementation tactics facilitated the effectiveness of the transformation towards a more sustainable infrastructure.
全世界都在关注气候变化,因为它对环境造成了破坏,并可能对人们的健康和经济产生连锁反应。本研究旨在深入研究马来西亚的可持续基础设施发展,以及承担这一任务的主要障碍和方法。本研究采用混合方法系统,允许收集大量数据,并便于比较不同设置的结果。研究发现,与可持续绩效评估相比,更多的人意识到基础设施项目的可持续影响评估,更熟悉弹性、可持续发展。这些研究还表明,实施可持续性的主要问题包括最小化不利危害、财务和预算投资问题,以及不充分的治理和管理。拟议的措施分为货币、制度和组织三个主题。实现更可持续基础设施的可能步骤包括增加绿色投资和融资,制定绿色政策和环境法规,推广绿色技术和材料,以及通过提高认识和培训来提高能力。本研究的结果为建筑业利益相关者提供了对整合可持续基础设施发展的现有方法和战略分析的见解。解决障碍和完善实施策略促进了向更可持续的基础设施转型的有效性。
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引用次数: 0
Time Monitoring System for Assembly Line Operators Using RFID 使用RFID的装配线操作员时间监控系统
Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-07-31 DOI: 10.30880/ijie.2023.15.03.027
Maisarah Hassan, Muhammad Rusydi Muhammad Razif, Dalila Misman, Ili Najaa Aimi Mohd Nordin
This project discussed monitoring system in an assembly line to monitor and track the performance of the operators in industries. Industry is an important workplace around the world including research and development, design, process, production, quality assurance and so on. A large number of jobs involve humans, and there are also parts that require humans to work using machines, especially operational workers or operators. There are many systems developed in the industry that involve the operator, some of them are to monitor the machining process, and some are to monitor and control the machine. Assembly line operator performance is a critical aspect that severely affects the overall production performance in any production nature. Non-productive time contributes to inequality in task distribution that often results in bottleneck points on a production line. Therefore, the non-productive time is considered as a waste of resources that has a relative impact on the production yield of an industry. In this project, Radio Frequency Identification (RFID) is used on the production line as a monitoring system so that it can help organizations to increase the performance of the working environment among all the employees as well as to achieve better production yield by reducing the non-productive time of assembly line operator.
本项目探讨了装配线的监控系统,以监控和跟踪工业操作人员的绩效。工业是世界各地重要的工作场所,包括研发、设计、工艺、生产、质量保证等。大量的工作涉及人类,也有部分需要人类使用机器工作,特别是操作工人或操作员。工业上开发的很多系统都涉及到操作者,有的是对加工过程进行监控,有的是对机器进行监控和控制。在任何生产性质中,装配线操作员的绩效都是严重影响整体生产绩效的关键方面。非生产时间导致任务分配不平等,常常导致生产线上的瓶颈点。因此,非生产时间被认为是对资源的浪费,对一个行业的生产产量有相对的影响。在这个项目中,无线射频识别(RFID)被用于生产线作为监控系统,它可以帮助组织提高所有员工的工作环境的性能,并通过减少装配线操作员的非生产时间来实现更好的生产产量。
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引用次数: 0
The Knowledge and Use of Speech Therapy Mobile Applications: Speech-Language Pathologists’ Perspectives in Malaysia 语音治疗移动应用程序的知识和使用:马来西亚语音语言病理学家的观点
IF 0.6 Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-07-31 DOI: 10.30880/ijie.2023.15.03.003
A. I. Kamaruddin, M. Masrom, Mohd Azmarul A Aziz, M. Garraffa, N. Mohd Noor
Technology incorporation in speech therapy has been growing over the years. Mobile applications are among the adoptions that facilitate delivering speech therapy services. The situation in Malaysia is discouraging because there are not enough speech-language pathologists (SLPs) to serve the growing number of populations. Despite the abundance of available speech therapy mobile applications in the market, there is a lack of information focusing on the SLP’s knowledge and usage perspectives,especially inMalaysia.The objectives of this study are to describe the knowledge and usage perspectives of speech therapy mobile applications among SLPs in Malaysiaandto analyze the instructional features and functional features relationships within the perspectivesof SLPs.Surveys are established in three parts, with demographic questions in Part A, Likertscale responses for statements in Part B, and open-ended questions in Part C. This study is co-designed to relate to the results from an initial study that adopted PRISMA(PreferredReporting Items for Systematic Reviews and Meta-Analyses) and features analysis. The data from the initial study includes a review of 161 apps out of 1797 that have been identified. Five instructional features and nine functional features are presented. There are 35 SLPs participatingin the survey. Their responses demonstrate evidence of SLPs’knowledge and usage of speechtherapy mobile applications.We will propose a conceptual framework for the features of speechtherapy mobile applications,using peoplewith aphasiaas a point of reference for users with speech and language disorders
多年来,技术在言语治疗中的应用一直在增长。移动应用程序是促进提供语音治疗服务的应用程序之一。马来西亚的情况令人沮丧,因为没有足够的言语语言病理学家来为越来越多的人口服务。尽管市场上有大量可用的语音治疗移动应用程序,但缺乏关注SLP知识和使用前景的信息,特别是在马来西亚。本研究的目的是描述马来西亚SLP中语音治疗移动应用程序的知识和使用前景,并从SLP的角度分析教学特征和功能特征关系。调查分为三个部分,A部分为人口统计学问题,B部分为Likertscale对陈述的回答,和C部分中的开放式问题。本研究是与采用PRISMA(系统评价和荟萃分析的首选报告项目)和特征分析的初步研究结果相关的。初步研究的数据包括对1797个已识别应用程序中161个应用程序的审查。介绍了五个教学特点和九个功能特点。共有35名SLP参与了调查。他们的回答证明了SLP对语音治疗移动应用程序的了解和使用。我们将为语音治疗移动应用程序的功能提出一个概念框架,将失语症患者作为语音和语言障碍用户的参考点
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引用次数: 0
Optimisation of Ultra-High-Performance Concrete with Special Quarry Dust 掺特殊采石场粉尘的高性能混凝土的优化
IF 0.6 Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-07-31 DOI: 10.30880/ijie.2023.15.02.002
Amir Mohammad Alizada, Ehsanullah Waseem, Sakhiah Abdul Kudus, Zainorizuan Mohd Jaini
The cement composition of concrete directly affects the CO2emissions to the environment. UHPC (Ultra High-Performance Concrete) is a new type of concrete rapidly gaining popularity in the building industry due to its superior strength and endurance. In contrast to regular concrete, UHPC requires more than twice as much cement, making it more expensive and leaving a more significant carbon imprint. In this study, waste cement was substituted with 4%, 8%, and 12% special quarry dust from a manufacturer in Kuantan, Malaysia. Maximum compressive strength and quarry dust percentage are determined through experimentation and assessed in Design Expert Software. This investigation tested modified UHPC for strength, durability, and scanning electron microscope (SEM)appearance. Experiments show that substituting 21% quarry dust for cement yields the best outcomes. Since the particle size of quarry dust is finer than that of other matrices, it helps to reduce voids and boosts the UHPC's endurances. The quarry dust adds filler and a minor increase in viscosity to the UHPC, which is a better replacement for anhydrate cement in filler applications.
混凝土的水泥成分直接影响CO2对环境的排放。超高性能混凝土(UHPC)是一种新型混凝土,由于其优异的强度和耐久性,在建筑行业迅速流行起来。与普通混凝土相比,UHPC所需的水泥量是普通混凝土的两倍多,这使其更加昂贵,并留下了更显著的碳印记。在这项研究中,用马来西亚关丹一家制造商生产的4%、8%和12%的特殊采石场粉尘代替了废水泥。最大抗压强度和采石场粉尘百分比通过实验确定,并在设计专家软件中进行评估。本研究测试了改性UHPC的强度、耐久性和扫描电子显微镜(SEM)外观。实验表明,用21%的采石场粉尘代替水泥效果最好。由于采石场粉尘的颗粒尺寸比其他基质的颗粒尺寸更细,这有助于减少空隙并提高UHPC的耐久性。采石场粉尘为UHPC添加了填料,粘度略有增加,在填料应用中可以更好地替代无水水泥。
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引用次数: 0
A Smart Iot-Based Prototype System For Rehabilitation Monitoring 基于智能物联网的康复监测原型系统
IF 0.6 Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-07-31 DOI: 10.30880/ijie.2023.15.03.010
Mad Kaidi H., Izhar M.A.M., Ahmad N., Dziyauddin R.A., Sarip S., Mashudi N.A., N. Mohamed, Sakib Jalil, Alam Khan M.A.
Smart healthcare is growing significantly in the healthcare sector due to the Internet of Things. A remote monitoring system is one of the smart healthcare implementations for rehabilitating stroke patients. Nowadays, as the COVID-19 pandemic continues tospread, patients undergoing home rehabilitation have difficulty meeting with their physicians due to movement constraints. In addition, the healthcare facilities are devoted to treating patients with COVID-19. As a result, physicians and patients could not frequently meet to gather their rehabilitation progress. This study involves developing a prototype to monitor a post-stroke patient's rehabilitation process using the Arduino Nano 33 Bluetooth Low Energy (BLE) and force-sensing resistor (FSR). The prototype analyzes critical aspects of the rehabilitation process based on handgrip, heart rate, sleep, and step tracking measurements. The results of the handgrip, heart rate, sleep, and step tracking measurements are evaluated for various types of subjects and six testing approaches showed an accurate and consistent results. However, experiments partially success with a small error is detected while tracking the steps of each subject. Several recommendations are highlighted to improve the prototype using othersensors such as force sensing resistor and flex sensor for handgrip force transducer, electromyogram (EMG) sensor for stroke-patients rehabilitation, and others.
由于物联网,智能医疗在医疗保健领域正在显著增长。远程监测系统是中风患者康复的智能医疗实施之一。如今,随着新冠肺炎疫情的持续蔓延,正在接受家庭康复的患者由于行动限制,很难与医生见面。此外,医疗机构专门用于治疗新冠肺炎患者。因此,医生和患者不能经常见面来收集他们的康复进展。这项研究涉及开发一个原型,使用Arduino Nano 33蓝牙低能量(BLE)和力敏电阻器(FSR)监测中风后患者的康复过程。原型基于握力、心率、睡眠和步进跟踪测量分析了康复过程的关键方面。对不同类型受试者的握力、心率、睡眠和步进跟踪测量结果进行了评估,六种测试方法显示了准确一致的结果。然而,在跟踪每个受试者的步骤时,检测到实验部分成功,但误差很小。强调了使用其他传感器改进原型的几个建议,如用于握力传感器的力感电阻器和柔性传感器、用于中风患者康复的肌电图传感器等。
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International Journal of Integrated Engineering
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