2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT)最新文献_第10页

Saudi Vision 2030: Sustainable Economic Development through IoT 沙特2030愿景:通过物联网实现可持续经济发展

2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT) Pub Date : 2021-06-18 DOI: 10.1109/CSNT51715.2021.9509592

Faisal Yousif Al Anezi

{"title":"Saudi Vision 2030: Sustainable Economic Development through IoT","authors":"Faisal Yousif Al Anezi","doi":"10.1109/CSNT51715.2021.9509592","DOIUrl":"https://doi.org/10.1109/CSNT51715.2021.9509592","url":null,"abstract":"Saudi Vision 2030 aims at reducing the kingdom’s dependency of oil through diversifying the economy and developing the service sectors such as tourism, recreation, health, education, communication, and infrastructure. Thus far, it is apparent that the plan aims at military manufacturing facilities. However, even though the vision does not specifically outline possible Information Technology (IT) related actions that will diversify the economy, we suggest in this paper IT sector developments that can be in line with the vision 2030 such as the development of Information Technology (IT) human workforce in addition to Information Technology Entrepreneur activities and manufacturing. In addition, new technologies such as Internet of Things (IoT), cloud computing, Artificial Intelligence (AI), Big data, and others can play an integral role in diversifying the economy through well thought out plans in these areas. This paper will present case studies of countries that have opted to promote Information Technology as a primary goal among its youth and have succeeded in securing a place in the IT ranking of countries that export technology. Saudi Arabia through its dependency on the oil sector all these years has not made the IT sector a prime target and not much attention was given towards gearing its education systems to IT-related fields. Saudi Youth choose the field of Engineering in hopes of landing jobs in the big oil and biochemical companies such as ARAMCO, SABIC, SADARA, and all its subcontractors. A large percentage of youth choose the business majors in hopes of jobs in the same companies as well as banking and business industries. Very few choose IT-related majors with the false perception that jobs are scarce or that they are low paying jobs. In this paper, we present the scenario in which IT becomes a major part of economic diversity in Saudi Arabia and present a theoretical framework towards achieving this task.","PeriodicalId":122176,"journal":{"name":"2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128398563","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

A Geocast Based Routing for Cooperative Video Streaming Over Vehicular Networks 基于地理广播的车载网络协同视频流路由

2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT) Pub Date : 2021-06-18 DOI: 10.1109/CSNT51715.2021.9509557

S. K, I. C, Renjith V. Ravi

{"title":"A Geocast Based Routing for Cooperative Video Streaming Over Vehicular Networks","authors":"S. K, I. C, Renjith V. Ravi","doi":"10.1109/CSNT51715.2021.9509557","DOIUrl":"https://doi.org/10.1109/CSNT51715.2021.9509557","url":null,"abstract":"A typical Mobile Ad Hoc Network, in which automobiles serve as hubs, is the Vehicular Ad Hoc Network (VANET). The VANETs have numerous applications such as traffic warning distribution, live data communication technologies, video stream services, file share services etc. Due to the high mobility and complex evolving topology, an appropriate routing protocol is mandatory to ensure secure and efficient connectivity between vehicles. The multimedia streaming service on VANET is a challenging task due to the highly mobile environment. Also, concerning multimedia streaming networks, each vehicle’s data download volume is minimal due to limited network connectivity. It takes far more period to stream a high-definition video using a single cellular 3G/3.5G interface. This work considers a shared video streaming situation where a vehicle fleet exchanges its network resources on their journey. This paper analyses the feasibility for applying the Geo-TORA routing protocol in Multimedia streaming-based VANET. The protocol consists of a geo cast service for sending messages to everyone in a specified geographical region. This protocol effectiveness is assessed using the metric routing overhead, geo cast packets’ precision, and end to end delay. The study shows that Geo TORA has significant improvement in this scenario, compared to the Temporally Ordered Routing Algorithm (TORA) protocol considering the metrics mentioned above.","PeriodicalId":122176,"journal":{"name":"2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133548382","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 consensus with TCP/IP 实现与TCP/IP的共识

2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT) Pub Date : 2021-06-18 DOI: 10.1109/CSNT51715.2021.9509664

Parshal Chitrakar, P. Ranjan

{"title":"Implementation of consensus with TCP/IP","authors":"Parshal Chitrakar, P. Ranjan","doi":"10.1109/CSNT51715.2021.9509664","DOIUrl":"https://doi.org/10.1109/CSNT51715.2021.9509664","url":null,"abstract":"Distributed systems need to work with multiple processes and hence, the need for consensus among them is paramount. Large number of such technical processes are implemented on TCP/IP communication framework. TCP is used in conjunction with IP to maintain a connection between the sender and receiver to ensure packet order and to exchange data. The interfaces and protocols needed by the users on the application layer leverage the implementation of consensus to help all the nodes communicate and evolve to a common state. In this work, we use Python3.7 socket programming to demonstrate consensus between two programs running on a network. Further, these programs implement their own version of consensus protocols to achieve a single state. We demonstrate this in action for various time integration steps which can be both matched i.e. same integration time steps on both sides and mismatched, i.e. different time integration steps for both peers. Further, since Consensus protocol analysis suffers from unrealistic instantaneous information communication assumption, delayed version of consensus protocol is explored. Role of increased round trip delay or RTT has also been documented by making the programs sleep for some predetermined time interval. Insights into implementation of consensus using TCP-IP have been presented.","PeriodicalId":122176,"journal":{"name":"2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132003471","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

An Implementation of K-Means Clustering for Efficient Image Segmentation 一种基于k均值聚类的高效图像分割方法

2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT) Pub Date : 2021-06-18 DOI: 10.1109/CSNT51715.2021.9509680

K. Venkatachalam, V. P. Reddy, M. Amudhan, A. Raguraman, E. Mohan

{"title":"An Implementation of K-Means Clustering for Efficient Image Segmentation","authors":"K. Venkatachalam, V. P. Reddy, M. Amudhan, A. Raguraman, E. Mohan","doi":"10.1109/CSNT51715.2021.9509680","DOIUrl":"https://doi.org/10.1109/CSNT51715.2021.9509680","url":null,"abstract":"This article narrate an adaptive K-means image segmentation technique, which provoke meticulous results with ease process and evade the bilateral input of K value. The image segmentation is the technique of identifying and categorizing the corresponding pixels in the appropriate image. There are enormous types are applicable to identify the corresponding pixels in the image. Here, the K-Means method is proposed for segmentation to examine the distinct image objects. Initially, the samples are transformed into Gray scale images. The Gray images are refined by K-Means clustering to get segmented image output. The K-Means based on the categorization of identical pixels and the appropriation of the mid pixels. By repetitious the identical action many times, then the output segmented image will have exceptional object prejudice. The K-Means clustering will provide good results. The prejudice objects is solely established on the interrelation of pixels feasible in the image. After refining, the image reshaping also done for better stimulation of the segmented image.","PeriodicalId":122176,"journal":{"name":"2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131144625","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: 7

Study and Analysis of Implementing a Smart Attendance Management System Based on Face Recognition Tecqnique using OpenCV and Machine Learning 基于OpenCV和机器学习的基于人脸识别技术的智能考勤管理系统的研究与分析

2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT) Pub Date : 2021-06-18 DOI: 10.1109/CSNT51715.2021.9509614

Krishna Mridha, Nabhan Yousef

{"title":"Study and Analysis of Implementing a Smart Attendance Management System Based on Face Recognition Tecqnique using OpenCV and Machine Learning","authors":"Krishna Mridha, Nabhan Yousef","doi":"10.1109/CSNT51715.2021.9509614","DOIUrl":"https://doi.org/10.1109/CSNT51715.2021.9509614","url":null,"abstract":"We can make our Attendance Management System (AMS) intelligent by using a face-to-face recognition strategy. For that, we have to fix a CCTV camera in the classroom at any best point, which makes a person's picture at a fixed time and tests a face-to-face image. Traditionally, student attendance at the institutes is manually reported on the attendance sheets. It's not a productive operation, because it takes 5 or more minutes for attendance. Normally, the length of our class is 50 minutes, and every day we have more than 5 lessons. So, both courses spend more than 50 minutes, which is almost the same as our class time. For, solving this big issue we are proposed a novel automatic technique namely \"Face Detection with OpenCV\". The system will be connected with our master database which includes the student's name, images, roll numbers, and time of attendance. This application mainly follows three steps. Firstly, it will take images. Secondly, compare them with the existing images which are storing in the master database. Thirdly, it will mark present all the matched images automatically on a spreadsheet and the remaining students will be absent from that class.","PeriodicalId":122176,"journal":{"name":"2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131380177","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: 6

Maritime Ship Detection using Convolutional Neural Networks from Satellite Images 基于卫星图像的卷积神经网络海事船舶检测

2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT) Pub Date : 2021-06-18 DOI: 10.1109/CSNT51715.2021.9509628

J. Alghazo, A. Bashar, Ghazanfar Latif, Mohammed Zikria

{"title":"Maritime Ship Detection using Convolutional Neural Networks from Satellite Images","authors":"J. Alghazo, A. Bashar, Ghazanfar Latif, Mohammed Zikria","doi":"10.1109/CSNT51715.2021.9509628","DOIUrl":"https://doi.org/10.1109/CSNT51715.2021.9509628","url":null,"abstract":"The significance of efficient monitoring and control of marine traffic for the purpose of safety and security of the ships cannot be overemphasized in the current scenario where global trade and commerce is at its pinnacle. Various stakeholders are concerned with serious maritime issues related to hijacking of ships, illegal fishing, encroachments of sea borders, and illicit exchange of sea cargo, accidents, and military attacks. This requires an automated, accurate, fast, and robust sea monitoring system which can avoid or mitigate the negative effects of such issues. This paper proposes, implements, and evaluates a CNN based deep learning model which can accurately identify ships from the images captured from satellite images. Two models CNN Model 1 and CNN Model 2 having different architectures are trained, validated, and tested on the Airbus satellite images dataset. Both classification accuracy and loss functions are measured by varying the number of the epochs. Also, the complexity comparison of the two models is performed by measuring the training time. The paper concludes that the proposed models are automatic, fast and accurate in terms of their performance on the Airbus dataset by achieving a maximum accuracy of 89.7%.","PeriodicalId":122176,"journal":{"name":"2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115244704","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

An Aid for Health monitoring during pregnancy 怀孕期间健康监测辅助工具

2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT) Pub Date : 2021-06-18 DOI: 10.1109/CSNT51715.2021.9509654

A. Bagwari, Khushboo Gairola

{"title":"An Aid for Health monitoring during pregnancy","authors":"A. Bagwari, Khushboo Gairola","doi":"10.1109/CSNT51715.2021.9509654","DOIUrl":"https://doi.org/10.1109/CSNT51715.2021.9509654","url":null,"abstract":"In many countries like India, the population is more living in rural areas as compared to cities. There is a large gap present between the facilities people get in cities and rural areas. There is lack of awareness and facilities in villages and hence they don't bother much regarding health monitoring during pregnancy. Pregnancy is a very crucial stage which demands extra care and concern. Hospitals are not nearby in villages so people don't bother to go for a regular check up. To reduce fetal mortality rate and to identify any health related issue, regular check up is very important. In our paper, our system involves the functionality of health monitoring due to the interaction of doctor and pregnant women. A mobile Application is used for the interaction. Parameters like heartbeat rate, temperature, fetus movement and blood pressure is measured using sensors. All the Results are recorded in cloud. Application is used to access the data stored. There is a Standard set for normal condition so there is a alert message indication in doctor's app for showing the fluctuations happening. Main aim of this system is to monitor the crucial parameters and keep the record so that doctor can take care of the Women's and the fetus health. Without going to the hospital, Health status of the woman can be updated.","PeriodicalId":122176,"journal":{"name":"2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115373647","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

Trust Management in SIoT SIoT中的信任管理

2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT) Pub Date : 2021-06-18 DOI: 10.1109/CSNT51715.2021.9509602

A. Kaur, D. Anand

引用次数: 0

IoT based Soil Nutrition and Plant Disease Detection System for Smart Agriculture 基于物联网的智慧农业土壤营养与植物病害检测系统

2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT) Pub Date : 2021-06-18 DOI: 10.1109/CSNT51715.2021.9509719

Sashant Suhag, Nidhi Singh, Sanskriti Jadaun, P. Johri, Ayushi Shukla, Nidhi Parashar

{"title":"IoT based Soil Nutrition and Plant Disease Detection System for Smart Agriculture","authors":"Sashant Suhag, Nidhi Singh, Sanskriti Jadaun, P. Johri, Ayushi Shukla, Nidhi Parashar","doi":"10.1109/CSNT51715.2021.9509719","DOIUrl":"https://doi.org/10.1109/CSNT51715.2021.9509719","url":null,"abstract":"In the coming years, farmers will face challenges to feed the increasing number of populations. They need to ensure food security and reduce the dependency on imports. The effective use of new technologies to increase the efficiency of farming will help the farmers to meet the need of increased population AI and IOT related automation to be designed to improve the way a farmer operates for various tasks. We propose a framework for IoT based Soil Nutrition and Plant Disease detection which uses various sensors to collect the plant-related data in form of images at different time intervals using MY THINGS smart sensor and Soil sensors such as proximal soil sensor (PSS) to test the soil fertility which helps to analyze the condition of soil new cultivation, ploughing, water or the land for harvesting. Temperature sensors are also used. Water quality sensors are used that will keep monitoring the quality of the water. All the data will we be sent to the farmer with the help of the IoT. For image classification, Local binary thresholding is used. At harvesting time robot performs image recognition and classification. The farmer will enter the required data to use the robotic arm to automatically harvest the crop. The arm is proposed to have four degrees of freedom and will be driven by the motors. Robotic arms will identify the crop using image recognition and will put that batch in the appropriate basket to be considered by the farmer for analysis. With regular monitoring, this proposed framework can greatly aid the farmers in maintaining crop health as well as quality.","PeriodicalId":122176,"journal":{"name":"2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124337592","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: 7

Single Slit Compact Patch Antenna with sectional Ground Plane for Bluetooth and WLAN 802.11b Application 用于蓝牙和WLAN 802.11b应用的带分段地平面的单缝紧凑型贴片天线

2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT) Pub Date : 2021-06-18 DOI: 10.1109/CSNT51715.2021.9509617

Akanksha Gupta, N. Kashyap, R. K. Sunkaria

引用次数: 0