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Review of 5G Wireless Cellular Network on Covid-19 Pandemic: Digital Healthcare & Challenges 5G无线蜂窝网络在Covid-19大流行中的应用综述:数字医疗挑战
Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-05-30 DOI: 10.17576/jkukm-2023-35(3)-02
Chia Chao Kang, Yee Heng Teh, Jian Ding Tan, Mohammad Mahdi Ariannejad, Siti Balqis Samdin
Since the coronavirus disease (COVID-19) began in 2020, it has changed the way people live such as social life and healthcare. One of the simplest ways to avoid wide spread of the virus is to minimize physical contact and avoid going to a crowded place. Besides that, it also has prompted countries across the world to employ digital technologies such as wireless communication systems to combat this global crisis. Digital healthcare is one of the solutions that play a crucial role to support the healthcare sector in order to prevent and minimize physical contact through telehealth and telemedicine such as monitoring, diagnosis and patient care. 5G network has the potential to advance digital healthcare along with its key technology such as enhanced Mobile Broadband (eMBB), Ultra Reliable and Low Latency Communication (URLLC), and massive Machine Type Communication (mMTC). Despite the benefits of digital healthcare by leveraging the 5G technology, there are still challenges to be overcome such as privacy protection issues, 5G deployment and limited connectivity. In this review, it highlights the relevance and challenges of 5G wireless cellular networks for digital healthcare during the COVID-19 pandemic. It also provides potential solutions and future research areas for researchers on 5G to reduce COVID-19 related health risks.
自2020年新型冠状病毒病(COVID-19)爆发以来,它改变了人们的社交生活和医疗保健等生活方式。避免病毒广泛传播的最简单方法之一是尽量减少身体接触,避免去人多的地方。除此之外,它还促使世界各国采用无线通信系统等数字技术来应对这一全球危机。数字医疗保健是在支持医疗保健部门方面发挥关键作用的解决方案之一,通过远程医疗和远程医疗(如监测、诊断和患者护理)预防和尽量减少身体接触。5G网络及其关键技术,如增强型移动宽带(eMBB)、超可靠和低延迟通信(URLLC)和大规模机器类型通信(mMTC),有可能推动数字医疗保健的发展。尽管利用5G技术可以带来数字医疗的好处,但仍然存在隐私保护问题、5G部署和有限的连接等挑战需要克服。在这篇综述中,它强调了在COVID-19大流行期间5G无线蜂窝网络与数字医疗保健的相关性和挑战。它还为5G研究人员提供了潜在的解决方案和未来的研究领域,以降低与COVID-19相关的健康风险。
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引用次数: 1
Effect of Blasting Waste as An Additive in Bitumen Mixtures 爆破废料在沥青混合料中的添加剂作用
Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-05-30 DOI: 10.17576/jkukm-2023-35(3)-14
Saiful Hazman Bin Mokhtar, Ernie Binti Kulian, Nur Hanani Binti Daud
The use of blasting waste in road pavement mixes is one of the new alternatives in Malaysia. Therefore, this study aimed to look at the potential of blasting waste as an additive in bitumen mixtures in road construction. Several percentages of blasting waste additive were studied, namely 0%, 5%, 10%, 15% and 17%. The parameter values of each of these mixtures were obtained through the Marshall test. A total of five sets of specimens were prepared for the Marshall test, with each set containing three samples. From the test result, all the percentages of blasting waste as an additive in the bitumen mixture passed the Public Works Department (Jabatan Kerja Raya or JKR) specifications. It was also concluded that 10% of blasting waste as an additive is the optimum value, with a stability value of 82.5kN as compared to the stability value of the control sample at 37.7kN. The flow and Marshall Quotient values for the 10% sample were 4mm and 20kN/mm, respectively. All values obtained from this study were in accordance with JKR specifications, indicating that blasting waste has great potential in improving the specification values of bitumen mixtures.
在马来西亚,在路面混合料中使用爆破废物是一种新的替代方案。因此,本研究旨在探讨爆破废物在道路建设中作为沥青混合物添加剂的潜力。研究了爆破废添加剂的添加比例,分别为0%、5%、10%、15%和17%。通过马歇尔试验获得了每种混合物的参数值。马歇尔试验共准备了5组样品,每组包含3个样品。从测试结果来看,所有爆破废物在沥青混合物中作为添加剂的百分比都通过了公共工程部(Jabatan Kerja Raya或JKR)的规范。爆破废石掺量为10%为最佳掺量,稳定值为82.5kN,而对照样品的稳定值为37.7kN。10%样品的流量和马歇尔商值分别为4mm和20kN/mm。本研究得到的所有数值均符合JKR规范,说明爆破废弃物在提高沥青混合料规范值方面具有很大的潜力。
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引用次数: 0
An Investigation into the Behavior of Disposable Face Masks in Modified Bitumen for Sustainable Transportation Pathways 可持续交通路径中改性沥青一次性口罩的性能研究
Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-05-30 DOI: 10.17576/jkukm-2023-35(3)-08
Syahirah Mansor, Nur Amirah Mohd Zamri, Zanariah Abd Rahman, Rozaini Ramli, Ahmad Kamil Arshad
Since December 2019, COVID-19 infection rates have risen considerably, and the virus is currently widespread around the world. Following the COVID-19 outbreak, the production of medical waste has skyrocketed. Disposable face masks are considered medical waste. Alternative measures must be implemented to assist in reducing medical waste disposal, which can result in serious public health problems and have a negative influence on the environment. In this regard, this research was conducted to investigate the effect of disposable face mask (DFM) ash with varied rates ranging from 5% to 20% by weight on bitumen with a 5% increment to be utilised as an alternative material in asphalt pavement. A series of physical and rheological tests were conducted on the bitumen samples to study the behavior of the DFM ash in bituminous material. Overall, the physical and rheological test results revealed that introducing 20% DFM ash to the modified bitumen was unable to achieve the same properties as with the conventional SMA14 asphalt binder. However, the modified bitumen penetration grade PEN 60/70 has improved the properties and quality of the asphalt in the flexible pavement. In addition, utilising the DFM waste in road construction would be a sustainable technique for protecting the environment by minimising face mask waste caused by the COVID-19 epidemic while lowering the pavement’s construction cost. These research findings may be commercialised to generate revenue in the construction industry for sustainable transportation pathways.
自2019年12月以来,COVID-19感染率大幅上升,目前该病毒在全球广泛传播。新冠肺炎疫情爆发后,医疗废物的产生量激增。一次性口罩被认为是医疗废物。必须实施替代措施,以协助减少医疗废物的处置,因为这可能导致严重的公共卫生问题,并对环境产生负面影响。在这方面,本研究旨在调查一次性面罩(DFM)灰分对沥青的影响,其含量从重量的5%到20%不等,增加5%作为沥青路面的替代材料。对沥青样品进行了一系列的物理和流变试验,研究了DFM灰分在沥青材料中的行为。总体而言,物理和流变学测试结果表明,在改性沥青中加入20%的DFM灰无法获得与常规SMA14沥青粘合剂相同的性能。而PEN 60/70渗透等级的改性沥青改善了柔性路面沥青的性能和质量。此外,在道路建设中利用DFM废物将是一种可持续的技术,可以最大限度地减少因COVID-19疫情造成的口罩浪费,同时降低路面的建设成本,从而保护环境。这些研究成果可以商业化,为建筑行业创造可持续交通途径的收入。
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引用次数: 0
A Review on Challenges in Telerehabilitation and Human Activity Recognition Approaches during Covid-19 Pandemic Covid-19大流行期间远程康复和人类活动识别方法面临的挑战
Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-05-30 DOI: 10.17576/jkukm-2023-35(3)-05
Md. Mahmudur Rahman, Kok Beng Gan, Noor Azah Aziz
Impact of COVID-19 pandemic is widespread imposing limitations on the healthcare services all over the world. Due to this pandemic, governments around the world have imposed restrictions that limit individual freedom and have enforced social distance to prevent the collapse of national health care systems. In such situation, to offer medical care and rehabilitation to the patients, Telerehabilitation (TR) is a promising way of delivering healthcare facilities remotely using telecommunication and internet. Technological advancement has played the vital role to establish this TR technology to remotely assess patient’s physical condition and act accordingly during this pandemic. Likewise, Human Activity Recognition (HAR) is a key part of the recovery process for a wide variety of conditions, such as stroke, arthritis, brain injury, musculoskeletal injuries, Parkinson’s disease, and others. Different approaches of human activity recognition can be utilized to monitor the health and activity levels of such a patient effectively and TR allows to do this remotely. Therefore, in situations where conventional care is inadequate, combination of telerehabilitation and HAR approaches can be an effective means of providing treatment and these opportunities have become patently apparent during the COVID-19 outbreak. However, this new era of technical progress has significant limitations, and in this paper, our main focus is on the challenges of telerehabilitation and the various human activity recognition approaches. This study will help researchers identify a good activity detection platform for a TR system during and after COVID-19, considering TR and HAR challenges.
COVID-19大流行的影响是广泛的,给世界各地的医疗服务带来了限制。由于这次大流行,世界各国政府都实施了限制个人自由的限制措施,并加强了社会距离,以防止国家卫生保健系统崩溃。在这种情况下,为了向患者提供医疗保健和康复服务,远程康复是利用电信和互联网远程提供医疗保健设施的一种很有前途的方式。技术进步在建立这种远程评估患者身体状况并在本次大流行期间采取相应行动的TR技术方面发挥了至关重要的作用。同样,人类活动识别(HAR)是各种疾病恢复过程的关键部分,如中风、关节炎、脑损伤、肌肉骨骼损伤、帕金森病等。人类活动识别的不同方法可用于有效监测此类患者的健康和活动水平,而TR允许远程执行此操作。因此,在常规护理不足的情况下,远程康复和HAR方法相结合可以成为提供治疗的有效手段,在2019冠状病毒病疫情期间,这些机会显而易见。然而,这个技术进步的新时代有显着的局限性,在本文中,我们的主要重点是远程康复和各种人类活动识别方法的挑战。考虑到TR和HAR的挑战,本研究将帮助研究人员在COVID-19期间和之后为TR系统确定一个良好的活性检测平台。
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引用次数: 0
Initial Design of Automated Latex Cup Robot Collector on Rough Terrain 粗糙地形下自动乳胶杯机器人收集器的初步设计
Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-05-30 DOI: 10.17576/jkukm-2023-35(3)-16
Xi Bo Khor, Chin Jin Ong, Chong Hooi Lim, Yee Chyan Tan
Despite the growing demand in rubber products, the world rubber production has declined in recent years. In this paper, a prototype of an automated latex cups collecting robot is constructed to assist the workers in the latex collection process. This robot is constructed on a mobile platform with a rear-wheel drive, double wishbone suspension, Ackermann’s steer transmission, motor-driven Four Degree of Freedom (DoF) manipulator arm and a latex storage tank. Ultrasonic sensors and camera are employed to locate the position of rubber trees and latex cups. The developed prototype robot has undergone the functional test to verify the control system, in which the robot can collecting the latex cup located at the height of 105 cm and 160 cm. In the mobility test, the robot can overcome obstacles of 15 mm height. While in the static test, the platform and the robotic arm can withstand the stress in the range of 107 N/m2. In the balance test, the topple angle is more than 40°, guaranteeing the stability of the robot platform. Those results showed that the prototype design is feasible to perform basic tasks automatically in the unstructured terrain of rubber plantation.
尽管橡胶制品的需求不断增长,但近年来世界橡胶产量却有所下降。本文构建了一种自动乳胶杯收集机器人的原型,以辅助工人进行乳胶收集过程。该机器人搭建在一个移动平台上,采用后轮驱动、双叉骨悬架、阿克曼转向传动、电机驱动四自由度机械臂和乳胶储罐。利用超声波传感器和摄像机对橡胶树和乳胶杯进行定位。所研制的原型机器人进行了功能测试,验证了控制系统的有效性,其中机器人可以收集位于105 cm和160 cm高度的乳胶杯。在机动性测试中,机器人可以克服15毫米高的障碍物。而在静态测试中,平台和机械臂可以承受107 N/m2范围内的应力。在平衡试验中,翻转角度大于40°,保证了机器人平台的稳定性。结果表明,该原型设计在非结构化地形橡胶园内自动完成基本任务是可行的。
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引用次数: 0
Earthwork Volumetric Estimation Via Unmanned Aerial System Application: Perception From Penang Contractors 通过无人机系统应用估算土方体积:来自槟城承包商的感知
Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-05-30 DOI: 10.17576/jkukm-2023-35(3)-13
Norsyakilah Romeli, Aimee Atikah Zakaria, Faridah Muhamad Halil, Muhammad Aizat Afiq Abd Ghapar, Nurfadzillah Ishak
Despite the geospatial potential of Unmanned Aerial System, its application in the construction industry is still at an early stage and limited exposure on the application. A survey was conducted to identify the factor of utilization level, their difficulties, as well as the perception associated with this technology. Responses from the Penang Contractors showed that the most common utilization factor is cost expectancy and limited payload and battery life, sensitivity to weather, as well as large volume of the generated data and data loss, as difficulties to utilizing UASs in earthwork volumetric estimation during preliminary stage, deployment stage and post-deployment stage respectively. This study also used a qualitative technique, in which data were gathered via interviews with a contractor. Participant consider all variables affecting the perception except project requirements. By understanding UAS utilization in construction, this study offers a pathway for researchers and professionals to investigate utilization factors, difficulties, and perceptions that may have the most impact on Malaysia’s construction industry. These barriers to UAS utilization in Malaysia’s construction industry will not preclude its use. However, government assistance is critical in encouraging the use of UAS and increasing public awareness in the construction industry.
尽管无人机系统具有地理空间潜力,但其在建筑行业的应用仍处于早期阶段,在应用上的曝光有限。进行了一项调查,以确定利用水平的因素、他们的困难以及与这项技术有关的看法。槟城承包商的回应显示,最常见的利用因素是成本预期和有限的有效载荷和电池寿命,对天气的敏感性,以及大量生成的数据和数据丢失,这些都是在初步阶段、部署阶段和部署后阶段分别在土方体积估算中使用UASs的困难。本研究还使用了定性技术,其中通过与承包商的访谈收集数据。参与者考虑所有影响感知的变量,除了项目需求。通过了解UAS在建筑中的应用,本研究为研究人员和专业人士提供了一个途径,以调查可能对马来西亚建筑行业产生最大影响的利用因素、困难和看法。马来西亚建筑行业使用无人机系统的这些障碍不会妨碍其使用。然而,政府援助在鼓励使用无人机系统和提高公众对建筑行业的认识方面至关重要。
{"title":"Earthwork Volumetric Estimation Via Unmanned Aerial System Application: Perception From Penang Contractors","authors":"Norsyakilah Romeli, Aimee Atikah Zakaria, Faridah Muhamad Halil, Muhammad Aizat Afiq Abd Ghapar, Nurfadzillah Ishak","doi":"10.17576/jkukm-2023-35(3)-13","DOIUrl":"https://doi.org/10.17576/jkukm-2023-35(3)-13","url":null,"abstract":"Despite the geospatial potential of Unmanned Aerial System, its application in the construction industry is still at an early stage and limited exposure on the application. A survey was conducted to identify the factor of utilization level, their difficulties, as well as the perception associated with this technology. Responses from the Penang Contractors showed that the most common utilization factor is cost expectancy and limited payload and battery life, sensitivity to weather, as well as large volume of the generated data and data loss, as difficulties to utilizing UASs in earthwork volumetric estimation during preliminary stage, deployment stage and post-deployment stage respectively. This study also used a qualitative technique, in which data were gathered via interviews with a contractor. Participant consider all variables affecting the perception except project requirements. By understanding UAS utilization in construction, this study offers a pathway for researchers and professionals to investigate utilization factors, difficulties, and perceptions that may have the most impact on Malaysia’s construction industry. These barriers to UAS utilization in Malaysia’s construction industry will not preclude its use. However, government assistance is critical in encouraging the use of UAS and increasing public awareness in the construction industry.","PeriodicalId":17688,"journal":{"name":"Jurnal Kejuruteraan","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135691826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Implementation of A.I. Vehicle Detection for Traffic Analysis Using In-situ Surveillance Infrastructure 利用现场监控基础设施实现交通分析中的人工智能车辆检测
Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-05-30 DOI: 10.17576/jkukm-2023-35(3)-25
Saadullah Hyder, Marjan Gul, Sadiq Hussain, Syed Ilyas Ahmed, Aamir Nazeer, Faheem Ahmed
Traffic flow parameters are required for optimizing traffic operations, design of pavements, and future planning of traffic networks. Unfortunately, due to the unique characteristics and variety of vehicles in the sub-continent i.e., size and design, the accuracy of results for a vision-based system is challenged, since most thorough datasets are based on European and American traffic. This paper proposes a solution by developing a detection model ground-up using a dataset created from the local traffic surveillance footage, and creating a python pipeline for vehicle speed detection and classification. The vehicle classification model is developed using the state-of-the-art YOLO object detector which significantly reduces the computation time required to maintain the efficiency of the proposed solution. Furthermore, a computer-vision script is developed to track the movement of vehicles in the footage and record the speeds in a spreadsheet. The technique used eliminates the video calibration, including distance and angle, required for detecting accurate speeds. Finally, the realtime traffic data is analyzed to derive the fundamental traffic flow parameters and discuss the relation between flow and density. To ascertain the validity of this survey technique, the results are compared to the following renowned traffic flow models: The Modified Greenberg model, Eddie’s model, and The Two-regime model. The results are found to closely follow the models in all three cases.
交通流参数是优化交通运行、道路设计和未来交通网络规划所必需的。不幸的是,由于印度次大陆车辆的独特性和多样性,即尺寸和设计,基于视觉的系统结果的准确性受到挑战,因为大多数全面的数据集都是基于欧洲和美国的交通。本文提出了一种解决方案,通过使用从当地交通监控录像中创建的数据集开发一个检测模型,并创建一个用于车辆速度检测和分类的python管道。车辆分类模型是使用最先进的YOLO目标检测器开发的,这大大减少了保持所提出的解决方案效率所需的计算时间。此外,还开发了一种计算机视觉脚本来跟踪镜头中车辆的运动,并在电子表格中记录速度。所使用的技术消除了检测准确速度所需的视频校准,包括距离和角度。最后,对实时交通数据进行分析,得出了基本交通流参数,并讨论了流量与密度的关系。为了确定这种调查技术的有效性,将结果与以下著名的交通流模型进行比较:修正格林伯格模型、埃迪模型和双制度模型。在所有三种情况下,结果都与模型密切相关。
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引用次数: 0
Influences of Lightweight Foam Concrete Roof Tile Hollow Sections and Thermal Reflective Coating in Cool Roof System 轻质泡沫混凝土屋面瓦空心截面和热反射涂层对冷屋面系统的影响
Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-05-30 DOI: 10.17576/jkukm-2023-35(3)-09
Ho Mun Ling, Yew Ming Chian, Yew Ming Kun, Saw Lip Huat, Yeo Wei Hong
Modern civilization is increasing the commercial and residential buildings demand, while a big part of the energy consumed in buildings is for cooling purposes. Modern building design requires sustainable cooling facilities when an excellent roofing system plays an important role. This paper investigates the performance of a cool roofing system that integrates lightweight foam concrete roof tile and a passive cool roofing system. The concrete fabrication process introduced the concrete roof tile hollow sections to improve the roof’s thermal resistance. The densities of the lightweight foam concrete roof tile were varied at 1300 kg/m3 and 1100 kg/m3, respectively, to determine a better performance of roof tile than a basic concrete roof with a density of 2500 kg/m3. Two spotlight lamps that imitated solar irradiation in the afternoon were used as the heat supplied on four roof prototypes. The results showed that the attic temperature dropped from 40.8 °C to 33.5 °C (-7.3 °C) after 60 minutes of heat exposure when the roof was a foam concrete, the roof density was lower, with hollow longitude sections and thermal reflective coating. Furthermore, the average attic temperature increment rate was reduced by 70.2 % when an ideal cool roofing system was applied.
现代文明不断增加对商业和住宅建筑的需求,而建筑能耗的很大一部分是用于制冷。现代建筑设计需要可持续的冷却设施,而一个优秀的屋顶系统起着重要的作用。本文研究了一种集成轻质泡沫混凝土屋面瓦和被动式屋面冷却系统的冷屋面系统的性能。混凝土制作工艺介绍了混凝土屋面瓦空心截面,提高了屋面的耐热性。轻质泡沫混凝土屋面瓦的密度分别为1300 kg/m3和1100 kg/m3,以确定屋面瓦的性能优于密度为2500 kg/m3的基本混凝土屋面。两个模拟午后太阳照射的聚光灯灯被用作四个屋顶原型的供热。结果表明:泡沫混凝土屋面保温60 min后,顶楼温度由40.8℃降至33.5℃(-7.3℃),屋面密度较低,采用空心经度断面和热反射涂层;此外,当采用理想的冷屋面系统时,平均阁楼温度增量率降低了70.2%。
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引用次数: 0
The Design of a New 3D Print-in-place Soft Four-Legged Robots with Artificial Intelligence 基于人工智能的新型3D打印四足软机器人的设计
Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-05-30 DOI: 10.17576/jkukm-2023-35(3)-20
Yong Saan Cern, Yeoh Sheng Ze
Soft and flexible robots are designed to change their flexibility over a wide range to perform tasks adequately in real-world applications. Current soft robots require cast moulding, high assembly effort and large actuators. Soft origami structures exhibit high levels of compliance. In this paper, we designed a new 3D print-in-place soft four-legged robot (3DSOLR). Our soft legged robot is an endurance application adapted from the soft origami zigzag gripper. This novel and innovative design are inspired by the rigid joint Theo Jansen legged robot with highly adaptive 3D print-in-place soft origami legs capable of fluid motion and even surviving drop tests. The robot mechanism consists of four soft origami flexible legs driven by two DC motors. The 3DSOLR is lightweight and semi-autonomous using two Hall effect sensors and a wireless Bluetooth module. Being 3D print-in-place using Thermoplastic polyurethane also increases its durability while having flexibility, simplicity and safety. The robot also has a gripper inspired by the mandible of male European stag beetle (Lucanus cervus). These features make this robot suitable to be used in social robotics and rescue robotics applications. The transmitter program is implemented in Bluetooth serial communication using MIT App Inventor 2 smartphone apps and a microcontroller Arduino ATMEL is used as the main controller and code in Arduino IDE. It has artificial intelligence (AI) capability with ESP32 CAM onboard which has an object classification accuracy of 95.5% using custom Edge Impulse neural network MobileNetV1 96 x 96. This AI capability enhanced the robot’s capability in object classification for grasping.
柔软和灵活的机器人被设计成在广泛的范围内改变它们的灵活性,以在现实世界的应用中充分执行任务。目前的软机器人需要铸造成型,高装配工作量和大型执行机构。软折纸结构表现出高度的顺应性。本文设计了一种新型的3D就地打印四足软机器人(3DSOLR)。我们的软腿机器人是一个耐力应用改编自软折纸之字形夹持器。这种新颖创新的设计灵感来自刚性关节Theo Jansen腿机器人,具有高度自适应的3D打印原位软折纸腿,能够进行流体运动,甚至可以在跌落测试中存活。机器人机构由四个柔性折纸腿组成,由两个直流电机驱动。3DSOLR重量轻,半自主,使用两个霍尔效应传感器和一个无线蓝牙模块。使用热塑性聚氨酯就地3D打印也增加了其耐久性,同时具有灵活性,简单性和安全性。这个机器人还有一个爪,灵感来自于雄性欧洲鹿角甲虫(Lucanus cervus)的下颚。这些特点使该机器人适合用于社会机器人和救援机器人应用。发射器程序使用MIT App Inventor 2智能手机应用程序在蓝牙串行通信中实现,并在Arduino IDE中使用微控制器Arduino ATMEL作为主控制器和代码。它具有搭载ESP32 CAM的人工智能(AI)功能,使用定制边缘脉冲神经网络MobileNetV1 96 x 96,其对象分类精度为95.5%。这种人工智能能力增强了机器人抓取物体的分类能力。
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引用次数: 0
Improvement of Solar Cell Efficiency and Electrical Energy of a Photovoltaic-Thermal System by Using Nanofluid 利用纳米流体提高太阳能电池效率和光热系统的电能
Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-05-30 DOI: 10.17576/jkukm-2023-35(3)-21
Marhama Jelita, Habibis Saleh
This communication presents the finite element method (FEM) analysis of the conjugate heat transfer across the PV/T panel. The PV/T system has several layers i.e., PV cell layer, thermal paste layer, reservoir wall and reservoir flow channel filled with nanofluid. The heat transfer equations for all layers have been constructed according to the conjugate heat transfer equation. The continuity, momentum and energy equations are solved numerically by using the FEM technique. The effects of various dimensionless parameters are discussed by plotting velocity, temperature, electrical output and thermal efficiencies. The result indicates that the average cell temperature keeps decreased by increasing nanoparticle concentration. The narrower flow channel has greater power output at the relatively low concentration while the wider flow channel has greater power output at the relatively high concentration. Thermal performance increases by 11% for every 10% increasing in nanoparticle volume fraction.
本文介绍了PV/T面板共轭传热的有限元分析方法。PV/T系统由PV电池层、导热膏层、储层壁和储层流道等多层组成。根据共轭传热方程,建立了各层的传热方程。采用有限元方法对连续方程、动量方程和能量方程进行了数值求解。通过绘制速度、温度、电输出和热效率来讨论各种无量纲参数的影响。结果表明,随着纳米颗粒浓度的增加,细胞平均温度不断降低。较窄的流道在浓度较低时功率输出较大,而较宽的流道在浓度较高时功率输出较大。纳米颗粒体积分数每增加10%,热性能提高11%。
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引用次数: 0
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