Pub Date : 2022-03-25DOI: 10.1109/ICCAE55086.2022.9762415
Tony Oakden, M. Kavakli
Real-time rendering techniques, developed for computer games, offer great opportunities in Virtual Production. Ray Tracing has been used for CGI movies for many years but it is only recently that its application in real-time has become practical. This is partly due to improved algorithms but mostly advanced hardware such as the Nvidia Geforce RTX 3000 series of cards which provide hardware support for real-time lighting thus improving the quality of the rendered images in CGI. We conducted a series of tests for rendering of a Virtual Production scene in Unreal game engine. Images are rendered in 4K and output to a network distribution system where the image is broken down into a series of smaller images each rendered onto LED screens. Results were plotted to show the comparison of render times between two graphics workstations using Nvidia RTX A6000 GPU cards and Nvidia RTX A3090 GPU. Our findings state that whilst RTX produces better image quality the gains might not be worth the additional hardware cost required by the high-end graphic cards. It might also be optimal to split the rendering of the scene across multiple computers.
{"title":"Graphics Processing in Virtual Production","authors":"Tony Oakden, M. Kavakli","doi":"10.1109/ICCAE55086.2022.9762415","DOIUrl":"https://doi.org/10.1109/ICCAE55086.2022.9762415","url":null,"abstract":"Real-time rendering techniques, developed for computer games, offer great opportunities in Virtual Production. Ray Tracing has been used for CGI movies for many years but it is only recently that its application in real-time has become practical. This is partly due to improved algorithms but mostly advanced hardware such as the Nvidia Geforce RTX 3000 series of cards which provide hardware support for real-time lighting thus improving the quality of the rendered images in CGI. We conducted a series of tests for rendering of a Virtual Production scene in Unreal game engine. Images are rendered in 4K and output to a network distribution system where the image is broken down into a series of smaller images each rendered onto LED screens. Results were plotted to show the comparison of render times between two graphics workstations using Nvidia RTX A6000 GPU cards and Nvidia RTX A3090 GPU. Our findings state that whilst RTX produces better image quality the gains might not be worth the additional hardware cost required by the high-end graphic cards. It might also be optimal to split the rendering of the scene across multiple computers.","PeriodicalId":294641,"journal":{"name":"2022 14th International Conference on Computer and Automation Engineering (ICCAE)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122812816","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}
Pub Date : 2022-03-25DOI: 10.1109/ICCAE55086.2022.9762430
Yangfan Zhang, Jian Zhang
In order to guide an undersea unmanned vehicle (UUV) avoiding obstacles in an underwater environment, an navigation algorithm is proposed in this paper. It can be applied to planar environment, the shape of obstacles could be changeable. This method combines local path planning and global path planning together, switching between two modes so as to safely navigate the UUV’ s way. In order to show the performance of the proposed algorithm, the simulation results are presented by Matlab. The reason why we promoting this algorithm is that it is a computational efficient algorithm, comparing with the prior ones, the cost could be saved while achieving the expected results successfully.
{"title":"A Navigation Algorithm for UUVs to Avoid Shape Changeable Obstacles","authors":"Yangfan Zhang, Jian Zhang","doi":"10.1109/ICCAE55086.2022.9762430","DOIUrl":"https://doi.org/10.1109/ICCAE55086.2022.9762430","url":null,"abstract":"In order to guide an undersea unmanned vehicle (UUV) avoiding obstacles in an underwater environment, an navigation algorithm is proposed in this paper. It can be applied to planar environment, the shape of obstacles could be changeable. This method combines local path planning and global path planning together, switching between two modes so as to safely navigate the UUV’ s way. In order to show the performance of the proposed algorithm, the simulation results are presented by Matlab. The reason why we promoting this algorithm is that it is a computational efficient algorithm, comparing with the prior ones, the cost could be saved while achieving the expected results successfully.","PeriodicalId":294641,"journal":{"name":"2022 14th International Conference on Computer and Automation Engineering (ICCAE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121673415","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}
Pub Date : 2022-03-25DOI: 10.1109/ICCAE55086.2022.9762433
Jian Zhang
Due to the advantages such as excellent mobility, low-cost, on-demand deployment, unmanned aerial vehicles (UAVs) are expected to play a significant role in the future wireless communication systems. One of the necessary and urgent problems is the physical layer security of this wireless communication system. Specifically, under the open nature of the UAV wireless channels, how to convey confidential information reliably in a coexistence environment with eavesdroppers. In this paper, we investigate a Q-learning based security scheme to maximize the average secrecy rate (ASR) against intentional or unintentional eavesdropping. Simulation results show comparable disguising performances compared with the benchmark method.
{"title":"A Q-learning based Method f or Secure UAV Communication against Malicious Eavesdropping","authors":"Jian Zhang","doi":"10.1109/ICCAE55086.2022.9762433","DOIUrl":"https://doi.org/10.1109/ICCAE55086.2022.9762433","url":null,"abstract":"Due to the advantages such as excellent mobility, low-cost, on-demand deployment, unmanned aerial vehicles (UAVs) are expected to play a significant role in the future wireless communication systems. One of the necessary and urgent problems is the physical layer security of this wireless communication system. Specifically, under the open nature of the UAV wireless channels, how to convey confidential information reliably in a coexistence environment with eavesdroppers. In this paper, we investigate a Q-learning based security scheme to maximize the average secrecy rate (ASR) against intentional or unintentional eavesdropping. Simulation results show comparable disguising performances compared with the benchmark method.","PeriodicalId":294641,"journal":{"name":"2022 14th International Conference on Computer and Automation Engineering (ICCAE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132857824","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}
Pub Date : 2022-03-25DOI: 10.1109/ICCAE55086.2022.9762413
Varun Sai Alaparthi, Ajay Abhaysing Pawar, C. M. Suneera, J. Prakash
Understanding and rating text complexity accurately can have a considerable impact on learning and education. In the past few decades, educators used traditional readability formulas to match texts with the readability level of students. This tends to oversimplify the different dimensions of text difficulty. Presently, transformer-based-language models have brought field of Natural Language Processing to a new era by understanding the text in a better way and achieving great success on many tasks. In this study, we assess the effectiveness of different pre-trained transformers on rating ease of readability. We propose a model built on top of the pre-trained Roberta transformer with weighted pooling, which uses multiple hidden states information effectively to do this task more accurately. Our experiments are done on a Dataset of English excerpts annotated by language experts which is extracted from Kaggle. On this Dataset, Our proposed model achieved 71% improvement over the traditional Flesch formula and a significant boost over other Transformer models and Long Short Term Memory(LSTM).
{"title":"Rating Ease of Readability using Transformers","authors":"Varun Sai Alaparthi, Ajay Abhaysing Pawar, C. M. Suneera, J. Prakash","doi":"10.1109/ICCAE55086.2022.9762413","DOIUrl":"https://doi.org/10.1109/ICCAE55086.2022.9762413","url":null,"abstract":"Understanding and rating text complexity accurately can have a considerable impact on learning and education. In the past few decades, educators used traditional readability formulas to match texts with the readability level of students. This tends to oversimplify the different dimensions of text difficulty. Presently, transformer-based-language models have brought field of Natural Language Processing to a new era by understanding the text in a better way and achieving great success on many tasks. In this study, we assess the effectiveness of different pre-trained transformers on rating ease of readability. We propose a model built on top of the pre-trained Roberta transformer with weighted pooling, which uses multiple hidden states information effectively to do this task more accurately. Our experiments are done on a Dataset of English excerpts annotated by language experts which is extracted from Kaggle. On this Dataset, Our proposed model achieved 71% improvement over the traditional Flesch formula and a significant boost over other Transformer models and Long Short Term Memory(LSTM).","PeriodicalId":294641,"journal":{"name":"2022 14th International Conference on Computer and Automation Engineering (ICCAE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127782096","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}
Pub Date : 2022-03-25DOI: 10.1109/ICCAE55086.2022.9762442
Herminiño C. Lagunzad, Maria Aura C. Impang, Mikee V. Gonzaga, Joan F. Lawan, Fernandez C. Pineda, Rose Anne A. Tanjente
We all know that diabetes is a very chronic disease that needs to be detected in the early stage so we can prevent this. Detecting it in the early stage can help us to treat it well and improve treatment. Also, data mining techniques had been used in doing this research to analyze the data and to predict the output. With this paper, the researchers managed to use the ID3 algorithm as a data model that will need those attributes, test datasets, and training datasets for us to predict if the patient is diabetic or not. The medical professional may benefit from this since the application can perform a bundle of tests for multiple patients for easily identifying if the patient is diabetic or not. If the patient is diabetic, it can treat in the early stage.
{"title":"Predicting the Early Sign of Diabetes using ID3 as a Data Model","authors":"Herminiño C. Lagunzad, Maria Aura C. Impang, Mikee V. Gonzaga, Joan F. Lawan, Fernandez C. Pineda, Rose Anne A. Tanjente","doi":"10.1109/ICCAE55086.2022.9762442","DOIUrl":"https://doi.org/10.1109/ICCAE55086.2022.9762442","url":null,"abstract":"We all know that diabetes is a very chronic disease that needs to be detected in the early stage so we can prevent this. Detecting it in the early stage can help us to treat it well and improve treatment. Also, data mining techniques had been used in doing this research to analyze the data and to predict the output. With this paper, the researchers managed to use the ID3 algorithm as a data model that will need those attributes, test datasets, and training datasets for us to predict if the patient is diabetic or not. The medical professional may benefit from this since the application can perform a bundle of tests for multiple patients for easily identifying if the patient is diabetic or not. If the patient is diabetic, it can treat in the early stage.","PeriodicalId":294641,"journal":{"name":"2022 14th International Conference on Computer and Automation Engineering (ICCAE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127795631","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}
Pub Date : 2022-03-25DOI: 10.1109/ICCAE55086.2022.9762438
Parth Bansal, Jahanvi B Dinesh, R. ShravanKumarV., B. SujayKrishna, T. Chandar
Capturing a video may result in unwanted effects such as image blurring, distortion due to the noise, etc. To obtain a jitter-free video, this study aims to perform Digital Video Stabilization using an ORB (Oriented FAST Rotated BRIEF) detector to find feature points. It makes use of a Square filter with a moving average window in order to obtain a more stable output video. The goal of this proposed study is to implement the novel methodology to stabilize videos effectively.
{"title":"Video Stabilization Using ORB Detector","authors":"Parth Bansal, Jahanvi B Dinesh, R. ShravanKumarV., B. SujayKrishna, T. Chandar","doi":"10.1109/ICCAE55086.2022.9762438","DOIUrl":"https://doi.org/10.1109/ICCAE55086.2022.9762438","url":null,"abstract":"Capturing a video may result in unwanted effects such as image blurring, distortion due to the noise, etc. To obtain a jitter-free video, this study aims to perform Digital Video Stabilization using an ORB (Oriented FAST Rotated BRIEF) detector to find feature points. It makes use of a Square filter with a moving average window in order to obtain a more stable output video. The goal of this proposed study is to implement the novel methodology to stabilize videos effectively.","PeriodicalId":294641,"journal":{"name":"2022 14th International Conference on Computer and Automation Engineering (ICCAE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127009642","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}
Pub Date : 2022-03-25DOI: 10.1109/ICCAE55086.2022.9762423
Karl Leyven Leonida, Karla Veronica Sevilla, C. O. Manlises
In video monitoring system, many challenges will affect its performance in tracking the movement of people. It was not tested in Lucas-Kanade Optical if it is affected by illumination changes. The basic purpose of this research article is to build and evaluate a proposed system for tracking a person’s movement and motion under various lighting conditions. The system used Lucas-Kanade Optical Flow and Canny Edge Detector. One objective is to use Independent T-Test as its statistical method to compare the processing time of the proposed system concerning motion detection in three different lightings. In the result of data gathering of processing time, the t-statistical value in Sunny and Dim lighting was 12.80, 3.23 t-statistical value in Sunny and Dark lighting, and 11.31 t-statistical value in Dim and Dark lighting. From the gathered data, the researchers fulfilled the research objectives that the proposed system can track a person’s motion even if there is a minimal difference in the environment’s lighting.
{"title":"A Motion-Based Tracking System Using the Lucas-Kanade Optical Flow Method","authors":"Karl Leyven Leonida, Karla Veronica Sevilla, C. O. Manlises","doi":"10.1109/ICCAE55086.2022.9762423","DOIUrl":"https://doi.org/10.1109/ICCAE55086.2022.9762423","url":null,"abstract":"In video monitoring system, many challenges will affect its performance in tracking the movement of people. It was not tested in Lucas-Kanade Optical if it is affected by illumination changes. The basic purpose of this research article is to build and evaluate a proposed system for tracking a person’s movement and motion under various lighting conditions. The system used Lucas-Kanade Optical Flow and Canny Edge Detector. One objective is to use Independent T-Test as its statistical method to compare the processing time of the proposed system concerning motion detection in three different lightings. In the result of data gathering of processing time, the t-statistical value in Sunny and Dim lighting was 12.80, 3.23 t-statistical value in Sunny and Dark lighting, and 11.31 t-statistical value in Dim and Dark lighting. From the gathered data, the researchers fulfilled the research objectives that the proposed system can track a person’s motion even if there is a minimal difference in the environment’s lighting.","PeriodicalId":294641,"journal":{"name":"2022 14th International Conference on Computer and Automation Engineering (ICCAE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115423412","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}
Pub Date : 2022-03-25DOI: 10.1109/ICCAE55086.2022.9762440
Vernon Estrada Bugayong, J. Villaverde, N. Linsangan
This paper is designed to have an optical character recognition system capable of interpreting captured images of hard disk drive and solid-state drive labels with high accuracy. Manual checking of the disk capacity size and part number found on the labels is time consuming, more prone to errors and utilizes more manpower. Automating the inspection through optical character recognition using image pre-processing and machine vision contributes to an easier inspection process, better management of records and faster cycle time. The images captured using a vision camera went through different stages of image pre-processing via OpenCV-Python and recognition through Google Tesseract. Different categorical variables including exposure time and location of texts in a captured image were used to determine and improve the overall recognition accuracy. By improving the lighting condition through the addition of light sources, the developed OCR system was able to achieve a character recognition accuracy of 99.375%.
{"title":"Google Tesseract: Optical Character Recognition (OCR) on HDD / SSD Labels Using Machine Vision","authors":"Vernon Estrada Bugayong, J. Villaverde, N. Linsangan","doi":"10.1109/ICCAE55086.2022.9762440","DOIUrl":"https://doi.org/10.1109/ICCAE55086.2022.9762440","url":null,"abstract":"This paper is designed to have an optical character recognition system capable of interpreting captured images of hard disk drive and solid-state drive labels with high accuracy. Manual checking of the disk capacity size and part number found on the labels is time consuming, more prone to errors and utilizes more manpower. Automating the inspection through optical character recognition using image pre-processing and machine vision contributes to an easier inspection process, better management of records and faster cycle time. The images captured using a vision camera went through different stages of image pre-processing via OpenCV-Python and recognition through Google Tesseract. Different categorical variables including exposure time and location of texts in a captured image were used to determine and improve the overall recognition accuracy. By improving the lighting condition through the addition of light sources, the developed OCR system was able to achieve a character recognition accuracy of 99.375%.","PeriodicalId":294641,"journal":{"name":"2022 14th International Conference on Computer and Automation Engineering (ICCAE)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132557332","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}
Pub Date : 2022-03-25DOI: 10.1109/ICCAE55086.2022.9762419
Yen-Jen Chen, Hsien-Wen Hsu
In this research and implementation, commercially available embedded development boards are used to implement the software functions of the IoT gateway, and the goal is to enable users to view the information of industrial-grade sensors through web pages. The development board uses LinkIt™ Smart 7688 Duo, developed by MediaTek. The retail price of this board is US$30 about, more cheaper than that of Raspberry Pi (about US$60~150). The proposal scheme is economical, and provides a customizing solution for System Integrators, who want to introduce IOT service to their customers. The main functions developed additionally into the IoT gateway are those for the mechanisms of Modbus and MQTT. The Web operation interfaces are also developed corresponding to the two functions. The function of Modbus over TCP is to provide the IOT manager station for reading/writing sensor systems through the IOT gateway, and that of MQTT lets the IOT gateway automatically read sensor systems and then send data to the IOT manager station. The physical bus between the IOT gateway and sensors is RS485, which is connected to 7688 Duo with an USB-to-485 adaptor. This development skill on the IOT gateway can provide a fully customizing solution for those who develop the IOT management system, and thus they can give an economical and full IOT service for their customers.
在本次研究与实现中，使用市售的嵌入式开发板来实现物联网网关的软件功能，目标是使用户能够通过网页查看工业级传感器的信息。开发板采用联发科开发的LinkIt™Smart 7688 Duo。这个板的零售价是30美元左右，比树莓派(大约60~150美元)便宜。该方案经济实惠，为希望向客户介绍物联网服务的系统集成商提供了定制解决方案。在物联网网关中增加的主要功能是Modbus和MQTT机制。并针对这两个功能开发了相应的Web操作界面。Modbus over TCP的功能是通过物联网网关提供物联网管理站对传感器系统进行读写，MQTT的功能是让物联网网关自动读取传感器系统并将数据发送给物联网管理站。物联网网关与传感器之间的物理总线为RS485，通过usb转485适配器连接到7688 Duo。这种物联网网关的开发技能可以为开发物联网管理系统的人提供完全定制的解决方案，从而为客户提供经济而全面的物联网服务。
{"title":"Design and Development of IoT Gateway Software System","authors":"Yen-Jen Chen, Hsien-Wen Hsu","doi":"10.1109/ICCAE55086.2022.9762419","DOIUrl":"https://doi.org/10.1109/ICCAE55086.2022.9762419","url":null,"abstract":"In this research and implementation, commercially available embedded development boards are used to implement the software functions of the IoT gateway, and the goal is to enable users to view the information of industrial-grade sensors through web pages. The development board uses LinkIt™ Smart 7688 Duo, developed by MediaTek. The retail price of this board is US$30 about, more cheaper than that of Raspberry Pi (about US$60~150). The proposal scheme is economical, and provides a customizing solution for System Integrators, who want to introduce IOT service to their customers. The main functions developed additionally into the IoT gateway are those for the mechanisms of Modbus and MQTT. The Web operation interfaces are also developed corresponding to the two functions. The function of Modbus over TCP is to provide the IOT manager station for reading/writing sensor systems through the IOT gateway, and that of MQTT lets the IOT gateway automatically read sensor systems and then send data to the IOT manager station. The physical bus between the IOT gateway and sensors is RS485, which is connected to 7688 Duo with an USB-to-485 adaptor. This development skill on the IOT gateway can provide a fully customizing solution for those who develop the IOT management system, and thus they can give an economical and full IOT service for their customers.","PeriodicalId":294641,"journal":{"name":"2022 14th International Conference on Computer and Automation Engineering (ICCAE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124634557","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}
Pub Date : 2022-03-25DOI: 10.1109/ICCAE55086.2022.9762414
V. K. Shrivastava, Sadia Riaz
Despite research on big data analytics being conducted in past, there are no studies focused on the opportunities i.e., growth prospects and its associated challenges in specific industries in UAE. In this study, big data analytics were used in SMEs retail sector in UAE region to assess the use of these technologies. Companies can use these to gain new understandings from their customers and suppliers perspective utilizing big data analytics techniques to take informative decisions on pricing, inventory management, payment solutions and marketing decisions. Big data can be used to help SMEs foresee the needs and preferences of their target audiences. The focus of this study is on SMEs since these are the pillar of every economy and can make quick adjustments to productivity changes. It aims to analyze and identify major chances and threats of Big Data and propose the best ways for SMEs to utilize it for improving their efficiency and business practices.
{"title":"Business Development Using Big Data within UAE SMEs Retail Sector: Prospects & Questions","authors":"V. K. Shrivastava, Sadia Riaz","doi":"10.1109/ICCAE55086.2022.9762414","DOIUrl":"https://doi.org/10.1109/ICCAE55086.2022.9762414","url":null,"abstract":"Despite research on big data analytics being conducted in past, there are no studies focused on the opportunities i.e., growth prospects and its associated challenges in specific industries in UAE. In this study, big data analytics were used in SMEs retail sector in UAE region to assess the use of these technologies. Companies can use these to gain new understandings from their customers and suppliers perspective utilizing big data analytics techniques to take informative decisions on pricing, inventory management, payment solutions and marketing decisions. Big data can be used to help SMEs foresee the needs and preferences of their target audiences. The focus of this study is on SMEs since these are the pillar of every economy and can make quick adjustments to productivity changes. It aims to analyze and identify major chances and threats of Big Data and propose the best ways for SMEs to utilize it for improving their efficiency and business practices.","PeriodicalId":294641,"journal":{"name":"2022 14th International Conference on Computer and Automation Engineering (ICCAE)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126593804","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}
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