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SAIEE Africa Research Journal最新文献

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Editors and reviewers 编辑和评审
IF 1.4 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-08-09 DOI: 10.23919/SAIEE.2023.10214184
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引用次数: 0
A cost-sensitive technique to pre-characterize UHF antennas at tertiary education institutions 一种成本敏感技术,用于高等教育机构对超高频天线进行预表征
IF 1.4 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-08-09 DOI: 10.23919/SAIEE.2023.10214186
Casey J. Bryant;P. Gideon Wiid
This article describes an antenna characterization measurement technique that can be achieved using low-cost equipment on a sports field. It is an adaptation of a reflection range measurement and results were compared to control measurements done at an open-area-test-site as well as in an anechoic chamber. This technique was capable of obtaining results with accuracy to within 2 dB for boresight gain and within 2 dB for the main beam of the antenna pattern. Its purpose is not to be highly accurate, but rather to show that it is possible to cost-sensitively introduce students to radio frequency equipment, as well as have access to a pre-characterization test method for inhouse, student-built antennas at tertiary education institutions.
本文描述了一种可以在运动场上使用低成本设备实现的天线特性测量技术。这是对反射范围测量的调整,并将结果与在开放区域试验场和消声室中进行的对照测量进行了比较。该技术能够获得精度在天线方向图的瞄准线增益的2dB以内和主波束的2dB之内的结果。它的目的不是要高度准确,而是要表明,可以以成本敏感的方式向学生介绍射频设备,以及在高等教育机构使用学生自制天线的预表征测试方法。
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引用次数: 0
Development of a self-contained robotic hand with dexterous grasping capabilities for research applications 开发一种具有灵巧抓握能力的自主机械手,用于研究应用
IF 1.4 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-08-09 DOI: 10.23919/SAIEE.2023.10214228
Samantha Woods;Callen Fisher
Thumb loss can diminish one's hand's functionality by up to 40% and the loss of one's entire hand can severely impact a person's ability to perform simple day-to-day tasks. Therefore, there exists a need to focus on the development of a thumb mechanism which supports dexterous grasping activities in anthropomorphic robotic hands. This paper documents the design process of a novel robotic hand, and shows experimental results validating its overall performance. A large focus was placed on developing a novel thumb mechanism which could replicate the thumb's characteristic movement types, namely flexion-extension, abduction-adduction, and oppositionreposition. Additional focus was placed on developing a mechanism for flexion-extension movement of the fingers which did not incorporate passive components and on producing a fully self-contained prototype — with the electronics and actuators contained inside the palm, and the power supply inset against the back of the palm. The hand successfully followed motion commands from a sensor glove, and was able to replicate 14 grasp configurations which demonstrated its dexterous grasping abilities.
拇指的缺失会使一只手的功能下降40%,整只手的缺失会严重影响一个人执行简单日常任务的能力。因此,有必要专注于开发一种拇指机构,该机构支持拟人化机器人手的灵巧抓握活动。本文记录了一种新型机械手的设计过程,并展示了验证其整体性能的实验结果。重点是开发一种新的拇指机制,该机制可以复制拇指的特征运动类型,即屈曲-伸展、外展-内收和反向复位。另外的重点是开发一种不包含被动组件的手指屈伸运动机制,并生产一个完全独立的原型——电子设备和致动器包含在手掌内,电源嵌入手掌背面。这只手成功地遵循了传感器手套的运动命令,并能够复制14种抓握配置,这证明了它灵巧的抓握能力。
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引用次数: 0
Initial investigation into bipedal turning: A trajectory optimization study 两足动物转弯轨迹优化的初步研究
IF 1.4 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-08-09 DOI: 10.23919/SAIEE.2023.10214227
Callen Fisher;Dean Pretorius;Nathan Weiss
Humans and animals leverage agility to negotiate the unpredictable environments we occupy. In order for legged robots to leave sterile lab environments, they need to be agile enough to negotiate our lives. Currently, human agility is far superior to the state-of-the-art robotic platforms. Replicating this on robotic platforms require a profound understanding of how contact events are leveraged to complete agile tasks. In line with this aim, this letter was an initial investigation into bipedal turning, to gain insight into how turning was achieved, and to identify any kinematic trends that emerged from the optimization results. This research was conducted on a simulated 10 DoF non-planar bipedal platform with point feet, and made use of a realistic friction cone, and not a linearized approximation. The mathematical model used was based on the bipedal robot currently under development. Two experiments were conducted: rapid turns with a fixed turn angle at varying speeds, and rapid turns with varying turn angles at a fixed speed. Results indicated that slip occurred 93.32% of the contact duration, and turn overshoot was present in all trajectories analyzed. Additionally, a long-time-horizon trajectory was presented to motivate the feasibility and stability of the turn trajectories studied.
人类和动物利用灵活性来应对我们所处的不可预测的环境。为了让有腿的机器人离开无菌的实验室环境,它们需要足够敏捷,能够与我们的生活进行协商。目前,人类的敏捷性远远优于最先进的机器人平台。在机器人平台上复制这一点需要深入了解如何利用接触事件来完成敏捷任务。根据这一目标,这封信是对两足动物转弯的初步调查,旨在深入了解转弯是如何实现的,并确定优化结果中出现的任何运动学趋势。这项研究是在一个模拟的10DoF非平面双足平台上进行的,该平台具有点脚,并使用了真实的摩擦锥,而不是线性化近似。所使用的数学模型是基于目前正在开发的两足机器人。进行了两个实验:在不同速度下具有固定转角的快速转弯和在固定速度下具有不同转角的快速转向。结果表明,打滑发生在接触持续时间的93.32%,并且在所分析的所有轨迹中都存在转弯过冲。此外,还提出了一个长时程轨迹,以激励所研究的转弯轨迹的可行性和稳定性。
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引用次数: 0
Notes for authors 作者须知
IF 1.4 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-08-09 DOI: 10.23919/SAIEE.2023.10214229
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引用次数: 0
Converting South African sign language to verbal 将南非手语转换为口语
IF 1.4 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-03-15 DOI: 10.23919/SAIEE.2023.10071977
Shingirirai Chakoma;Philip Baron
There is a significant population of hearing-impaired people who reside in South Africa; however, South African Sign Language (SASL) has not yet been recognized as South Africa's 12th official language, resulting in slow uptake of this important language. Since most people do not know SASL, there is a need for gesture recognition systems that convert Sign Language (SL) to verbal and/or text to reduce the communication barriers between the hearing and the hearing-impaired. This study presents an application for gesture recognition in converting SASL to both a verbal format and a textual format. By using gesture recognition from a single wearable glove, hand gestures were quantified, categorized, and then converted into an auditory format and played on a speaker, as well as the equivalent textual information displayed on an LCD screen. The complete prototype consists of a wearable glove with a transmitter and an associated receiver box which were all designed to cost less than $150. The glove consists of five flex sensors that measure the handshape and an inertial measurement unit which measures the hand motion. The handshape and motion data are processed and wirelessly transmitted to a receiver box. This then displays the associated English character on an LCD while also playing the audio on a speaker. The SL converter can convert the 26 letters of the SASL manual alphabet with an overall accuracy of 69%, It can also convert common words and phrases, as well as proper names when fingerspelled.
南非居住着大量听障人士;然而,南非手语(SASL)尚未被承认为南非的第12种官方语言,导致人们对这一重要语言的理解缓慢。由于大多数人不知道SASL,因此需要将手语(SL)转换为语言和/或文本的手势识别系统,以减少听力和听力受损者之间的沟通障碍。本研究提出了手势识别在将SASL转换为语言格式和文本格式中的应用。通过使用单个可穿戴手套的手势识别,手势被量化、分类,然后转换为听觉格式并在扬声器上播放,以及在LCD屏幕上显示的等效文本信息。完整的原型包括一只带发射器的可穿戴手套和一个相关的接收器盒,所有这些都设计成本不到150美元。手套由五个测量手形的柔性传感器和一个测量手运动的惯性测量单元组成。手形和动作数据被处理并无线传输到接收器盒。然后在LCD上显示相关的英文字符,同时在扬声器上播放音频。SL转换器可以转换SASL手动字母表的26个字母,总体准确率为69%。它还可以转换常用单词和短语,以及指法拼写时的专有名称。
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引用次数: 1
Editors and reviewers 编辑和评审
IF 1.4 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-03-15 DOI: 10.23919/SAIEE.2023.10071974
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引用次数: 0
Machine learning based driver monitoring system: A case study for the Kayoola EVS 基于机器学习的驾驶员监控系统:以Kayoola电动汽车为例
IF 1.4 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-03-15 DOI: 10.23919/SAIEE.2023.10071976
Ali Ziryawulawo;Melissa Kirabo;Cosmas Mwikirize;Jonathan Serugunda;Edwin Mugume;Simon Peter Miyingo
With the ever-growing traffic density, the number of road accidents has continued to increase. Finding solutions to reduce road accidents and improve traffic safety has become a top priority for Kiira Motors Corporation, a Ugandan state-owned automotive company. The company seeks to develop intelligent driver assistance systems for its market entry product, the Kayoola EVS bus. A machine learning-based driver monitoring system that would monitor driver drowsiness and send out an alarm in case drowsiness is detected has been developed in an attempt to reduce drowsiness-related accidents. The system consists of a camera positioned in such a way as to keep track of the driver's face. The camera is interfaced with a Raspberry Pi minicomputer which carries out the computations and analysis and when drowsiness is detected, an alarm is triggered. Dangerous driver behavior including distraction and fatigue has long been recognized as the main contributing factor in traffic accidents. This paper therefore presents the development of a driver monitoring system for the Kayoola Electric City Bus to address the increasing occurrences of road accidents. The machine learning-based driver monitoring system is designed to be non-intrusive with continuous real-time operation.
随着交通密度的不断增加,道路事故的数量持续增加。寻找减少道路事故和提高交通安全的解决方案已成为乌干达国有汽车公司Kiira Motors Corporation的首要任务。该公司寻求为其进入市场的产品Kayoola电动车辆供电系统开发智能驾驶员辅助系统。为了减少与嗜睡相关的事故,已经开发了一种基于机器学习的驾驶员监测系统,该系统将监测驾驶员的嗜睡并在检测到嗜睡的情况下发出警报。该系统由一个摄像头组成,摄像头的位置可以跟踪驾驶员的面部。该相机与树莓派微型计算机接口,树莓派小型计算机进行计算和分析,当检测到嗜睡时,会触发警报。长期以来,包括分心和疲劳在内的危险驾驶行为一直被认为是造成交通事故的主要因素。因此,本文介绍了Kayoola电动城市公交车驾驶员监控系统的开发,以解决日益增加的道路事故。基于机器学习的驾驶员监控系统设计为具有连续实时操作的非侵入性。
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引用次数: 1
Notes for authors 作者须知
IF 1.4 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-03-15 DOI: 10.23919/SAIEE.2023.10071979
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引用次数: 0
Self-cleaning solution for solar panels 太阳能电池板自清洁解决方案
IF 1.4 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-03-15 DOI: 10.23919/SAIEE.2023.10071978
M. Omar;A. Arif;M. Usman;S. S. Khan;S. Larkin
The performance of photovoltaic panels is affected by the accumulation of dust particles on their surface. Regular cleaning of these photovoltaic panels is required, which increases the overall system cost and solution complexity. In remote areas, especially in water-stressed areas like deserts, water availability is an issue that double-folds the problem's complexity. Few automatic or manual dust cleaning methods through dry brushing are still there, which damages the glass layer at the top of photovoltaic panels. Here the availability of water for cleaning is not only a piece of the puzzle, but the required power to generate water in case of water harvesting is also equally important. This work proposes a novel artificial intelligence-enabled, wind turbine-driven air-water harvester. The air-water harvester is designed to operate in three different modes depending on the amount of dust on the surface of the solar panel. The system can produce more than two liters of water per day at the expense of a maximum of 100 W. In the end, the increase in the performance of the photovoltaic panel with and without the proposed cleaning solution is tested by cleaning its surface with water produced by the air-water harvester.
光伏电池板的性能受到其表面灰尘颗粒积聚的影响。需要定期清洁这些光伏面板,这增加了整个系统的成本和解决方案的复杂性。在偏远地区,尤其是沙漠等缺水地区,水资源的可用性问题使问题的复杂性增加了一倍。现在很少有通过干刷进行自动或手动灰尘清洁的方法,这会损坏光伏板顶部的玻璃层。在这里,清洁用水的可用性不仅是难题的一部分,而且在集水的情况下产生水所需的电力也同样重要。这项工作提出了一种新型的人工智能,风力涡轮机驱动的空气-水收割机。根据太阳能电池板表面的灰尘量,空气-水采集器设计为以三种不同的模式运行。该系统每天可以产生超过两升水,而最大消耗功率为100W。最后,通过用空气-水采集器产生的水清洁光伏面板的表面,测试了使用和不使用所提出的清洁溶液的光伏面板性能的提高。
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引用次数: 1
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SAIEE Africa Research Journal
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