2021 IEEE AFRICON最新文献_第3页

Quality of Service Enabled Network Slicing Model in 5G and the Next Generation Virtualized Networks 5G和下一代虚拟化网络中服务质量支持的网络切片模型

2021 IEEE AFRICON Pub Date : 2021-09-13 DOI: 10.1109/africon51333.2021.9571005

Poovendren Govender, K. Ogudo, Chabalala S. Chabalala

引用次数: 0

Assessment of the Used Mobile Applications by Small-Scale Farmers at Miono and User Requirements in the Present and Future Mobile Apps 对Miono小农使用的移动应用程序的评估以及当前和未来移动应用程序的用户需求

2021 IEEE AFRICON Pub Date : 2021-09-13 DOI: 10.1109/africon51333.2021.9570945

Ezra Misaki

引用次数: 1

A Performance Evaluation of 3D Deep Learning Algorithms for Crime Classification 三维深度学习犯罪分类算法的性能评价

2021 IEEE AFRICON Pub Date : 2021-09-13 DOI: 10.1109/africon51333.2021.9570983

Tawanda Matereke, Clement N. Nyirenda, Mehrdad Ghaziasgar

引用次数: 0

Academic challenges as part of capstone project resilience training 作为顶点项目弹性训练的一部分的学术挑战

2021 IEEE AFRICON Pub Date : 2021-09-13 DOI: 10.1109/africon51333.2021.9570882

Jacob J. Greeff, A. Nel, Reolyn Heymann, Johnson Carroll

引用次数: 1

Wireless sensor network for water pipe corrosion monitoring 用于水管腐蚀监测的无线传感器网络

2021 IEEE AFRICON Pub Date : 2021-09-13 DOI: 10.1109/africon51333.2021.9571008

Jacobus Kampman, Judas Masela, T. Joubert

{"title":"Wireless sensor network for water pipe corrosion monitoring","authors":"Jacobus Kampman, Judas Masela, T. Joubert","doi":"10.1109/africon51333.2021.9571008","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9571008","url":null,"abstract":"The development of accurate corrosion models from corrosion data is a key requirement for well informed, preemptive actions towards extending the life of water infrastructure systems and reducing maintenance costs. This work presents the development of a custom proof-of-concept system implementation performing water corrosion monitoring using custom integrated corrosion sensing technologies powered by energy harvested through an in-line turbine generator. Implementing a star topology network of wireless corrosion sensor nodes distributed through water infrastructure systems offers an innovative solution for real-time and on-line monitoring of corrosion in water infrastructure systems. The wireless sensor network includes a wireless access point that provides an interface for retrieval of the corrosion data and a nexus for communications. A low-power bidirectional data transfer communications protocol using a form of time-division multiplex access is designed and implemented towards the optimisation of energy efficiency in the network. In an emulated pipeline field setup, the energy harvested and stored provides 125.80 mWh at 4.89 V for an in-pipe flow rate of 13.25 l/min, a typical value for municipal potable water supply in South Africa. The local node ER sensor can of measure changes in resistance values to an accuracy of 1% and will be usable in-system for a year. The access point implements EIS and LPR sensing. The extracted LPR value predicts a corrosion rate is 63.0 um/year in potable water.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"249 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114333283","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: 1

Conceptual Development of an Autonomous Underwater Robot Design for Monitoring and Harvesting Invasive Weeds 自主水下杂草监测与收获机器人的概念发展

2021 IEEE AFRICON Pub Date : 2021-09-13 DOI: 10.1109/africon51333.2021.9570971

D. Modungwa, F. Mekuria, Mzuziwezulu Kekana

{"title":"Conceptual Development of an Autonomous Underwater Robot Design for Monitoring and Harvesting Invasive Weeds","authors":"D. Modungwa, F. Mekuria, Mzuziwezulu Kekana","doi":"10.1109/africon51333.2021.9570971","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570971","url":null,"abstract":"The design of a biomimicry autonomous underwater robot for monitoring and harvesting invasive weeds in lakes is presented in this paper. The systematic design of the robot focuses on integrating 5G-AI-IoT as effective technological tools to autonomously monitor and harvest invasive weeds in order to replace traditional weed control approaches. The robustness and versatility of the robotic platform to structural topology and autonomous navigation that uses convolutional neural network methods and unsupervised learning techniques will be demonstrated. The robotic concept design will investigate real time sensing, mapping and visualization of the invasive weeds. The system based on real-time mapping information obtained from the swarm of drones will also manage the control of the underwater robots equipped with smart networked sensors using State of the Art IoT technologies. The mechanical dislodging machine will be guided to the mapped areas and accurately controlled and guided through smart sensors via the 5G Ultra-reliable Low-Latency Communication Control (URLLC) and tactile control system to dislodge the invasive weed with no impact on other organisms and the biodiversity of the lake.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116179515","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: 2

[AFRICON 2021 Front cover] [AFRICON 2021封面]

2021 IEEE AFRICON Pub Date : 2021-09-13 DOI: 10.1109/africon51333.2021.9570903

引用次数: 0

Arbitrary Alloy Semiconductor Material Based DG MOSFET for High-Frequency Industrial and Hybrid Consumer Applications 用于高频工业和混合消费应用的基于任意合金半导体材料的DG MOSFET

2021 IEEE AFRICON Pub Date : 2021-09-13 DOI: 10.1109/africon51333.2021.9570845

Naveenbalaji Gowthaman, V. Srivastava

{"title":"Arbitrary Alloy Semiconductor Material Based DG MOSFET for High-Frequency Industrial and Hybrid Consumer Applications","authors":"Naveenbalaji Gowthaman, V. Srivastava","doi":"10.1109/africon51333.2021.9570845","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570845","url":null,"abstract":"The performance of the transistors is a measure for the system to perform desired output. The research in the development of transistors is continuously growing and defines an efficient system and device modeling. This work shows a comparative analysis of the various materials in the double-gate (DG) MOSFET. Here, the DG MOSFETs have been constructed using high-ƙ dielectrics to reduce the short channel effects and improve the performance of the transistors, which is the unit cell of the industrial and consumer electronics devices. This MOSFET can further be optimized by enhancing the analog characteristics in the nanometer regime. This work focuses on the performance of the DG MOSFETs by considering channels like Indium Arsenide (InAs) and Indium Phosphide (InP) in the Aluminium Gallium Arsenide (AlxGa1-xAs) and Gallium Arsenide Antimonide (GaAs1-xSbx) substrates. From the simulation and tabulations, it is evident that the properties of the DG MOSFETs with these novel materials change drastically, thereby inferring the optimum materials in MOSFETs for the high speed and long haul RF applications. In this work, three different models have been proposed, namely AlxGa1-xAs/HfO2, AlxGa1-xAs/La2O3, and GaAs1-xSbx/La2O3; which shows improvement in threshold voltage with 1.16%, 1.20%, and 1.64% respectively when compared to the conventional Silicon-based DG MOSFETs.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115466898","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: 4

Focusing Benford’s Law on the Daily Covid-19 Cases Numbers and Daily Covid-19 Deaths Numbers 将本福德定律重点放在每日新冠肺炎病例数和每日新冠肺炎死亡人数上

2021 IEEE AFRICON Pub Date : 2021-09-13 DOI: 10.1109/africon51333.2021.9570989

L. Butgereit

引用次数: 1

Strategic Considerations of Industry 4.0 on Electronic Warfare using Technology Roadmaps 利用技术路线图对工业4.0电子战的战略考虑

2021 IEEE AFRICON Pub Date : 2021-09-13 DOI: 10.1109/africon51333.2021.9570921

Reeshen Reddy

{"title":"Strategic Considerations of Industry 4.0 on Electronic Warfare using Technology Roadmaps","authors":"Reeshen Reddy","doi":"10.1109/africon51333.2021.9570921","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570921","url":null,"abstract":"The Fourth Industrial Revolution or Industry 4.0 is an ongoing industrial revolution brought about by several emerging technologies expected to disrupt most business sectors. The effect of Industry 4.0 on the Electronic Warfare (EW) sector is strategically analyzed using Technology Road Mapping (TRM). An enhanced TRM is proposed based on the fast-start TRM method that incorporates an additional military capability layer to assess the linkage between market trends and products. The enhanced TRM is applied to analyze trends, capability, product, technology, research, and resources.The TRM-based strategic analysis reveals that Industry 4.0 will create both market pull and technology push driving the required characteristics of future EW Products. The market pull effects will drive future EW products to operate in a battlespace supporting Multi-Domain Operations (MDO) and Decision Centric Warfare (DCW). Industry 4.0 will drive commercial demand for spectrum resulting in contested, congested, and shared spectrum. Advances in smart industries will facilitate prototype warfare and the Internet of Military Things (IoMT), increasing ad-hoc bespoke non-traditional threats. Traditional threats will support DCW supported by several unmanned platform concepts.Technology push effects will advance key technologies that will shape future EW products such as Artificial Intelligence (A.I), Cyber-Physical Systems (CPS), Internet of Things (IoT), and Heterogeneous Processing. Finally, we conclude that the emergent properties of future EW products will be cognitive, distributed, networked, coordinated, multi-spectral, reduced size, weight, and power (SWAP), and modular using open architectures.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121793367","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: 1