2022 International Conference on Engineering and Emerging Technologies (ICEET)最新文献_第10页

A novel beamforming antenna array for 5G and beyond applications 一种新型的波束形成天线阵列，适用于5G及以后的应用

2022 International Conference on Engineering and Emerging Technologies (ICEET) Pub Date : 2022-10-27 DOI: 10.1109/ICEET56468.2022.10007412

Muhammad Asfar Saeed, Augustine O. Nwajana

引用次数: 1

A Novel Multipurpose Snapshot Hyperspectral Imager used to Verify Security Hologram 一种用于验证安全全息图的新型多用途快照高光谱成像仪

2022 International Conference on Engineering and Emerging Technologies (ICEET) Pub Date : 2022-10-27 DOI: 10.1109/ICEET56468.2022.10007232

A. Mukundan, Hsiang-Chen Wang, Y. Tsao

{"title":"A Novel Multipurpose Snapshot Hyperspectral Imager used to Verify Security Hologram","authors":"A. Mukundan, Hsiang-Chen Wang, Y. Tsao","doi":"10.1109/ICEET56468.2022.10007232","DOIUrl":"https://doi.org/10.1109/ICEET56468.2022.10007232","url":null,"abstract":"In this study, a Low-cost and portable module is built using a Raspberry Pi camera and microprocessor that captures the images of security holograms which are fed into the hyperspectral imaging algorithm that measures the reflectance to differentiate the counterfeit from the original hologram. Reflectivity is one of the difficulties in distinguishing a duplicate hologram from an authentic one. Due to the fact that a little change in lighting situation would entirely alter the hologram’s reflection pattern, a standardized detector for duplicate holograms has not yet been developed. In this work, hyperspectral imaging (HSI)-based housing module for distinguishing between authentic and counterfeit holograms was presented. The module included a Raspberry Pi 4 CPU, a Raspberry Pi camera, an LCD display, and an LED lighting system with a dimmer. A visible HSI algorithm capable of transforming a Raspberry Pi camera’s RGB picture into a hyperspectral image was developed. Mean gray value (MGV) and reflectivity measurements were performed on an area of interest (ROI) extracted from the spectral picture. Results indicated that shorter wavelengths are optimal for distinguishing holograms when using MGV as the classification criterion, but longer wavelengths are optimal when utilizing reflectivity. This design is distinguished by its cheap cost, simplicity, absence of moving components, and lack of need for an extra decoding key.","PeriodicalId":241355,"journal":{"name":"2022 International Conference on Engineering and Emerging Technologies (ICEET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130829004","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: 3

Federated learning-based UAVs for the diagnosis of Plant Diseases 基于联邦学习的无人机植物病害诊断

2022 International Conference on Engineering and Emerging Technologies (ICEET) Pub Date : 2022-10-27 DOI: 10.1109/ICEET56468.2022.10007133

F. Khan, Sikandar Khan, M. N. Mohd, A. Waseem, Muhammad Numan Ali Khan, Sajid Ali, Rizwan Ahmed

引用次数: 3

2022 International Conference on Engineering and Emerging Technologies (ICEET) Pub Date : 2022-10-27 DOI: 10.1109/ICEET56468.2022.10007396

D. Prithvirajan, M. Mathirajan

{"title":"A Recommended System with a Solution Architect in Minimizing the Lead Time of Last Mile LPG Distribution in India","authors":"D. Prithvirajan, M. Mathirajan","doi":"10.1109/ICEET56468.2022.10007396","DOIUrl":"https://doi.org/10.1109/ICEET56468.2022.10007396","url":null,"abstract":"Reducing lead time to deliver orders placed by customers and organized operations in a system are among the influencing factors for any supply chain network to be effective. LPG cylinder distribution in India is one such business that requires organized operations and a quick delivery mechanism to deliver the order placed by the subscriber within a short period, thereby enhancing customer satisfaction. Mainly, companies like Indian Oil Corporation Limited (IOCL), Bharat Petroleum Corporation Limited (BPCL), and Hindustan Petroleum (HP) are significant stakeholders in LPG distribution in India and have set a target of delivery within a day post booking. Despite being an essential commodity, the distributors and the LPG companies find it challenging to deliver the cylinders within 24 hours post order placement due to various practical conditions. With this backdrop, this study proposes (a) a Standard Operating Procedure (SOP) and (b) conceptually a recommended system with a solution architect. The expected outcome of the study is to deliver the LPG cylinders within the committed lead time post order placement, thereby improving customer satisfaction.","PeriodicalId":241355,"journal":{"name":"2022 International Conference on Engineering and Emerging Technologies (ICEET)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120976306","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

Design of an Android-based remotely-accessible system to detect ripeness of dates in palm trees 基于android的远程访问系统的设计，用于检测棕榈树椰枣的成熟度

2022 International Conference on Engineering and Emerging Technologies (ICEET) Pub Date : 2022-10-27 DOI: 10.1109/ICEET56468.2022.10007324

T. Jamil

{"title":"Design of an Android-based remotely-accessible system to detect ripeness of dates in palm trees","authors":"T. Jamil","doi":"10.1109/ICEET56468.2022.10007324","DOIUrl":"https://doi.org/10.1109/ICEET56468.2022.10007324","url":null,"abstract":"Date palm trees are commonly found in the Middle Eastern region. The dates become ripe on these trees during the summer season. Monitoring the ripeness of these trees is an essential process to ensure good production of dates so that the farmer can derive maximum profit from his cultivation. It is easy to monitor the ripeness of dates with a naked eye when palm trees are fewer in number and short in height. However, a palm tree can become as tall as 75 feet (23 meters) and it becomes difficult to monitor the ripeness of such tall trees while at the ground-level, especially if there are several hundreds of these trees located in a farm. Manual method of climbing date palms using leather belts to detect the ripeness of dates is very dangerous because some palms may have thin and damaged trunks and the climber may fall to the ground from some height. In this paper, design of a drone-based system which can detect and monitor the ripeness of date palms by analyzing the images taken by a drone has been presented. The system can alert the farmer about the ripeness of dates through an Android-based App developed specifically for this purpose.","PeriodicalId":241355,"journal":{"name":"2022 International Conference on Engineering and Emerging Technologies (ICEET)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116438224","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

Myeloma, Melanoma, Lung, Breast, Colon and Brain Cancer Detection Using Deep Learning in Web Based Application 骨髓瘤，黑色素瘤，肺癌，乳腺癌，结肠癌和脑癌检测在基于Web的应用中使用深度学习

2022 International Conference on Engineering and Emerging Technologies (ICEET) Pub Date : 2022-10-27 DOI: 10.1109/ICEET56468.2022.10007330

Kazi Soumik Islam, S. Das, Sourov Podder Surzo, Tanjila Farah

{"title":"Myeloma, Melanoma, Lung, Breast, Colon and Brain Cancer Detection Using Deep Learning in Web Based Application","authors":"Kazi Soumik Islam, S. Das, Sourov Podder Surzo, Tanjila Farah","doi":"10.1109/ICEET56468.2022.10007330","DOIUrl":"https://doi.org/10.1109/ICEET56468.2022.10007330","url":null,"abstract":"Cancer is a terminal disease that is caused by the assemblage of abnormal cells in the human body. Various pathological changes, and at times inherited problems cause such malignancies-the frequent being melanoma, myeloma, colon, lung, and breast cancers. There are several ways for identifying these cancers, however the process is very expensive and require experts. This project aims to create a web-based tool to detect these multiple malignancies. The project was split into two sections. In the first section, a detection model was created for each of the cancers. Then employed pre-trained convolutional neural network models to identify cancers using picture input. In the second part, these models were deployed on a website for detection. This website will help patients and doctors worldwide to diagnose these diseases without any advanced technology, which is very costly. We have merged all the cancer dataset and made a hybrid dataset for detection of all the cancer with only one model. The trained model gave 93% accuracy (3 classes with below 80% accuracy) on the test dataset without K-Fold and 93% accuracy (no individual class accuracy less than 80%) with K-Fold Cross Validation.","PeriodicalId":241355,"journal":{"name":"2022 International Conference on Engineering and Emerging Technologies (ICEET)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123819376","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

Exploring the Impact of an Augmented Reality Application for Bespoke Musical Instruments 探索增强现实应用对定制乐器的影响

2022 International Conference on Engineering and Emerging Technologies (ICEET) Pub Date : 2022-10-27 DOI: 10.1109/ICEET56468.2022.10007215

Ikram Asghar, Rahmat Ullah, M. G. Griffiths, William Warren, Rhys Thomas, Geraint Frowen

引用次数: 1

A comparative study among swarming intelligence algorithms and subspace based algorithms for high resolution direction of arrival estimation 高分辨率到达方向估计的群智能算法与子空间算法的比较研究

2022 International Conference on Engineering and Emerging Technologies (ICEET) Pub Date : 2022-10-27 DOI: 10.1109/ICEET56468.2022.10007297

Nauman Ahmed, Sikandar Khan, Sajid Ali, Rizwan Ahmed, R. A. Rahman, Mamon M. Horoub, Hamid Khan, Sadaqat Ali

{"title":"A comparative study among swarming intelligence algorithms and subspace based algorithms for high resolution direction of arrival estimation","authors":"Nauman Ahmed, Sikandar Khan, Sajid Ali, Rizwan Ahmed, R. A. Rahman, Mamon M. Horoub, Hamid Khan, Sadaqat Ali","doi":"10.1109/ICEET56468.2022.10007297","DOIUrl":"https://doi.org/10.1109/ICEET56468.2022.10007297","url":null,"abstract":"Recent advances in underwater signal processing have enabled the parameter estimation of Direction of Arrival (DOA) utilizing evolutionary computing paradigms, which also has witnessed several applications in the field of seismology, earthquakes, astronomy, and biomedicine. In this work, an innovative study of comparison among state of the art subspace-based and particle swarm optimization (PSO) and Genetic Algorithms (GA) algorithms is presented to have effective DOA estimates for various objects with dynamical characteristics in underwater scenario. The viability of innovative statistical indices is employed to describe performance in order to evaluate it. The effectiveness of the GA and PSO a is evaluated in comparison with its traditional counterparts (such as MVDR, MVDR, MUSIC, ESPRIT and UESPRIT) based on different metrics such as estimation accuracy, probability of resolution and computational robustness against the number of elements and noise. For validation assessments, Crammer Rao Bound (CRB) analysis is also performed, and outcomes from Monte Carlo runs show that the Genetic Algorithm (GA) outperforms its analogue in terms of complexity indices, convergence, and precision.","PeriodicalId":241355,"journal":{"name":"2022 International Conference on Engineering and Emerging Technologies (ICEET)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128632983","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

Voice Over IP Integration Platform Performance Using EC2 AWS Cloud Service 使用EC2 AWS云服务的IP语音集成平台性能

2022 International Conference on Engineering and Emerging Technologies (ICEET) Pub Date : 2022-10-27 DOI: 10.1109/ICEET56468.2022.10007273

P. Sathaporn, W. Krungseanmuang, V. Chaowalittawin, T. Anuwongpinit, B. Purahong, Isoon Kanjanasurat, A. Lasakul, C. Benjangkaprasert

{"title":"Voice Over IP Integration Platform Performance Using EC2 AWS Cloud Service","authors":"P. Sathaporn, W. Krungseanmuang, V. Chaowalittawin, T. Anuwongpinit, B. Purahong, Isoon Kanjanasurat, A. Lasakul, C. Benjangkaprasert","doi":"10.1109/ICEET56468.2022.10007273","DOIUrl":"https://doi.org/10.1109/ICEET56468.2022.10007273","url":null,"abstract":"This article describes a method for integrating a mobile application for controlling and transmitting voice data levels in various departments within an organization with Amazon Elastic Compute Cloud (AWS EC2) to reduce hardware location costs and create more convenient in-house management at a single point. To begin, the paper introduces the project objective with a business scenario from an organization. Second, the SIP server implementation method is provided by Asterisk on AWS EC2 Ubuntu operating system and connection with a Mobile application that is used by flutter framework. Finally, the project experiments and discussions will be presented, and the obtained results show that the call setup time for the iOS/Android platforms to PC performed the best, taking less than one second, and was the fastest when compared to other testing metrics. However, there are many more metrics that should be considered, which are presented in the research's results section. With high performance and stability, this article was able to broadcast voice data via mobile applications.","PeriodicalId":241355,"journal":{"name":"2022 International Conference on Engineering and Emerging Technologies (ICEET)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127318590","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

Addressing operational challenges of small and medium enterprises of the logistics industry – Potential for autonomous vehicles 解决物流行业中小企业的运营挑战——自动驾驶汽车的潜力

2022 International Conference on Engineering and Emerging Technologies (ICEET) Pub Date : 2022-10-27 DOI: 10.1109/ICEET56468.2022.10007250

Mpedi Mokonyama, Masike Malatji, N. Mlitwa

{"title":"Addressing operational challenges of small and medium enterprises of the logistics industry – Potential for autonomous vehicles","authors":"Mpedi Mokonyama, Masike Malatji, N. Mlitwa","doi":"10.1109/ICEET56468.2022.10007250","DOIUrl":"https://doi.org/10.1109/ICEET56468.2022.10007250","url":null,"abstract":"Small and Medium Enterprises (SMEs) are integral to driving innovations, job creation and sustainable growth in the economy. The problem facing SME development efforts in emerging economies, however, is a lack of sustainability of the sector, largely due to high operational costs and reduced profitability. Given the centrality of goods transportation in almost all trades, improvement in operational efficiencies could help reduce costs for most SMEs in the logistics industry. The Fourth Industrial Revolution (4IR) technologies such as Artificial Intelligence (AI) have ushered in the rise of smart robotics solutions to the evolution of autonomous vehicles (AVs) innovations. The authors sought to understand the potential AVs have in (i) reducing operational costs, (ii) improving logistical efficiencies, (iii) and increasing revenue and profitability, which should improve the sustainability of SMEs. Therefore, the aim of this paper is to explore the reasons SMEs in the logistics industry have such high failure rates and what role AVs could play in addressing some of those challenges. On this point, funding, regulations, delivery times, road safety and fatalities, and driver skills are just some of the operational challenges for SMEs in the logistics industry. It was found that AVs have the potential to address some of these challenges but that an appropriate AV technology adoption framework model is required.","PeriodicalId":241355,"journal":{"name":"2022 International Conference on Engineering and Emerging Technologies (ICEET)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128522586","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