{"title":"Research on Python Crawling Algorithm in Model Data Visualization","authors":"Zhifang Lu","doi":"10.1109/WCONF58270.2023.10235143","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235143","url":null,"abstract":"With the development of information technology, the field of information visualization has attracted more and more attention. How to enable users to quickly get valuable information from a large number of abstract text data files is one of the problems to be solved by information visualization technology. Python crawling algorithm is a data visualization tool. It uses Python to crawl the web, and then generates various visualizations of crawling data. It is used to track the changes of the website over time or monitor the number of times the website is viewed. The crawler can be customized with different parameters, such as the maximum number of pages to be crawled per day, the maximum number of URLs to be crawled per hour, etc. The output can be saved as an image file or a PDF report, and can be exported to other languages using the panda library.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116900716","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}
{"title":"Effective Power Management of Grid-Connected PV System","authors":"Srikanth D, G. Sukumar, P. Sobhan","doi":"10.1109/WCONF58270.2023.10235098","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235098","url":null,"abstract":"Photovoltaic (PV) systems suggest desirable alternate generation sources because, relative to other renewable generation sources, they can be positioned close to the load centres. The bulk of renewable energy systems run alongside current power grids. Inverter technology often plays an important part in the secure and efficient service of the grid interconnection of renewable energy systems. The generation of high-quality electricity to the grid at affordable prices is also important. They must also be able to have good conversion performance with a high power factor and low harmonic distortion. For this cause, it is important to recognise the control strategy. Therefore, this paper investigates the most relevant existing regulation methods. The key goal of this proposal is to turn surplus solar energy into usable energy to reduce power shortages, where solar energy can be turned into electricity and coordinated with the grid. With the aid of solar panels, the solar power is trapped, and can create a DC voltage. This DC voltage can be transformed to AC using a three-phase six pulse inverter centered on IGBT.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131208514","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}
{"title":"Traffic Control and QoS improvement Analysis in V-to-V and V-to-RSU Communication in VANET","authors":"Sadhana Parashar, Ravindra Tiwari","doi":"10.1109/WCONF58270.2023.10235234","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235234","url":null,"abstract":"Traffic congestion control and handling are the major problems on roads in rural areas as well as in urban areas in the Vehicular Ad-hoc Network (VANET). The intelligent transport system is the public’s demand to control and manage the traffic efficiently. Vehicles are moving on the roads at different speeds and using different directions to reach their destinations. The vehicles are also very smart and can make a decision to go in any other direction because of construction work going on the roads or for any other reason traffic is congested on any point of the road. The proper utilization of traffic status enhances the Quality of Service (QoS) and reduces unnecessary delays in vehicle movement. In this paper, we propose an analysis of recent or existing schemes that improved QoS during the communication of vehicles to other vehicles (V to V) and vehicles to Road Side Units (V to RSUs). The RSU is the responsible system, and the responsibility of this system is to handle the load on roads or manage traffic on roads efficiently. In this analysis, participants also mentioned an overview of routing protocols, services, and factors that affect the performance of VANET. The recent techniques are improving performance, but each approach has a few disadvantages, so highlight those drawbacks. Proper bandwidth utilization means no congestion during routing, but this is not an easy task. The detailed survey is very helpful for doing something new in the field of traffic management in VANET.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131629230","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}
Ankit Kumar, Pragya Siddhi, K. Singh, Teekam Singh, D. P. Yadav, Tanupriya Choudhury
{"title":"Exploring Advanced Deep Learning Techniques for Reliable Weather Forecasting","authors":"Ankit Kumar, Pragya Siddhi, K. Singh, Teekam Singh, D. P. Yadav, Tanupriya Choudhury","doi":"10.1109/WCONF58270.2023.10235085","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235085","url":null,"abstract":"Weather forecasting has always been a domain where more and more reliability is looked up to when it comes to prediction and the models pursued. While in the past years, traditional methods included conventional probability-dominated dependency models, the reliability of these traditional methods was always in a contentious line which emphasized the necessity to improve and use modern technology. While in the past few years, we became familiar with the ways that can put the huge amount of data to an optimum utility, it only widened the horizons which makes room for us to explore various important domains where reliability is indeed a necessity, that could very much use the help of advanced technology to be more decisive. The materializing deep learning techniques tied up to the humongous availability of observed data concerning the field of weather prediction have enticed enough researchers to traverse the concealed hierarchical pattern in the voluminous weather datasets. The study was done to inquire into various deep learning techniques including discussing some of the advanced and recently under-the-light methods.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134413584","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}
{"title":"Face Mask Detection Using ResNet50 Model and fine tuning it on various hyperactive parameters","authors":"Kanwarpartap Singh Gill, Vatsala Anand, Rupesh Gupta, Sheifali Gupta","doi":"10.1109/WCONF58270.2023.10235032","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235032","url":null,"abstract":"The COVID-19 that took all the nations for a toll has increased interest in the logical field of facemask placement. This research determines if a person is appropriately wearing a face mask or is at danger of illness using computer vision and machine learning algorithms. The study uses multiple social datasets that show people wearing face coverings or not in photographs or videos. These datasets are used to create and implement machine learning models that can determine whether or not a person is wearing a face covering. In this work, faces covered under coverings are recognised using a ResNet50 Model. Next, it is improved for a number of hyper characteristics to forecast face photographs with an accuracy of 99 percent, aiding in the advancement of the investigation and the development of humanistic technology that will enhance sustainable development.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134554431","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}
{"title":"Cockcroft-Walton Voltage Multiplier based High Gain DC-DC Converter as DC Source for Impulse Load","authors":"Rupali Saha, Bindu S, Ruchi Harchandani","doi":"10.1109/WCONF58270.2023.10235205","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235205","url":null,"abstract":"Generation of high voltage directly from renewable energy sources is very challenging, as most of the renewable energy sources are intermittent in nature. This has increased the scope of research work in high gain dc-dc converter fed by renewable energy sources. This paper presents application of high gain dc-dc converter based on Cockcroft-Walton voltage multiplier. Cockcroft-Walton voltage multiplier eliminates the need of transformer to increase the voltage gain. Also, Cockcroft-Walton voltage multiplier maintains equal voltage stress on each stage devices, which maintains the modularity of the design. Work has been presented to show the application of this converter as power supply for resistive as well as capacitive load. In place of capacitive load, solid state Marx generator is used. Single dc source is used for testing and converter is operated in interleaved mode. Hardware is developed for 40 W;150V and various testing results are presented in this paper. Converter is tested in open loop and closed loop voltage control and performance with capacitive load is observed.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133467250","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}
{"title":"Distributing the Role of Cluster Head Among the Nodes for Prolonging the Network Lifetime Using AODV Protocol in WSN","authors":"Nimesh Raj","doi":"10.1109/WCONF58270.2023.10235074","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235074","url":null,"abstract":"Wireless Sensor Networks (WSNs) are highly efficient networks that are used for remote monitoring and data gathering for a wide array of applications. These networks are often deployed in remote and difficult to reach places where recharging or replacement of the sensors is not feasible. As such, maximizing the network lifetime has become a major concern for system designers. One of the key parameters of WSNs is their routing protocol. In this paper, we have considered AODV, an adaptive and reactive routing protocol, and studied its effects on the lifetime of a WSN. Our study found that the increased presence of local or intra-cluster traffic significantly improved the performance and network lifetime of the network. Moreover, the use of AODV was able to extend the lifetime of the WSN by up to 30% on average when compared with a more traditional DSR protocol. Additionally, we observed that even in cases where the traffic is not congestion-limited the use of AODV leads to increased packet reception rates and higher throughput, thus leading to further prolongation of the WSNs lifetime.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132129613","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}
Prateek Goel, Madan Gopal Agrawal, S. Anand, Pradeep Kumar, Leo Raj Solay
{"title":"Design and Investigation of SRAM using Charge Plasma Dopingless Nanowire FET","authors":"Prateek Goel, Madan Gopal Agrawal, S. Anand, Pradeep Kumar, Leo Raj Solay","doi":"10.1109/WCONF58270.2023.10235218","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235218","url":null,"abstract":"A static random-access memory (SRAM) using Charge Plasma Dopingless Nanowire Field Effect Transistor (CP-DLNWFET) with radius 5 nm and channel length of 20nm is proposed. With the FET devices, a problem in decreasing the channel length due to Short Channel Effects (SCEs) and as subthreshold swing (SS) can’t be decreased below 60mV/decade as below it there is an irregular variation between the current and voltage. To overcome these limitations, Nanowire device structure with charge plasma technique is proposed to achieve better current conditions for the implementation of SRAM circuit. The charge plasma technique with appropriate selection of work function for source/drain metal electrodes are induced in dopingless structure. Random dopant fluctuation effect is reduced with the help of dopingless devices with easier steps of fabrication using lower thermal budget. During the operation of the proposed SRAM using CP-DLNWFET device at $V_{mathbf{DD}} =$ 1V, has achieved 9.96 % for write mode, 24.4 % for read mode and 22.3 % for standby mode proving its stability than previously proposed devices.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122397658","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}
{"title":"Analysis of Congestion Control Techniques to Improve QoS and Frequent Communication in FANET","authors":"Devashri Anwekar, Sunil Phulre","doi":"10.1109/WCONF58270.2023.10235034","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235034","url":null,"abstract":"Fanets, or Flying Ad Hoc Networks, is a field of study that is very interested in how unmanned aerial vehicles (UAVs) communicate with each other. Due to the ever-changing topology of a network, it might be difficult for mobile nodes to effectively communicate with one another. There is no physical infrastructure supporting this network, but the nodes, or UAVs, are equipped to deal with much more data than can be collected by sensors. Also, since UAVs fly so low to the ground, using short-range wireless links yields far better performance than using high-altitude wireless connectivity. Adaptive communications and a UAV mobility model developed in tandem can also increase performance. When a UAV has a stable connection to the ground station, for instance, it needs to move at a slower rate to maintain wireless contact. One of the most crucial indicators of a network’s efficiency is its routing. In this article, we propose analysis on how to improve QoS by controlling energy usage, congestion, and geolocation data by UAVs. QoS service improvement is influenced by a wide variety of factors, however, this analysis is focusing on energy, congestion, and physical location, size of UAVs and importance of UAVs in agriculture. To preserve network lifetime and keep the ratio of properly delivered packets and conventional routing mechanisms high, adaptively selected routes using minimal-cost routing and modified or updated routing techniques based on network conditions are used. A study of routing protocols is also discussed here in order to better understand the work being done in this area and to enhance routing protocol performance.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124019217","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}
{"title":"Deep Learning Approach for Identification of Fake Profiles in Social Media","authors":"M. Santhoshi, S. Sailaja, J. Jyotsna","doi":"10.1109/WCONF58270.2023.10235178","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235178","url":null,"abstract":"Fake profiles have been developed as social media usage has increased, which can result in identity theft, cyberbullying, and online fraud. In order to secure internet users, efficient phony profile detection systems are required. In this study, we assess the efficacy of three well-known machine-learning algorithms and deep learning methods for the detection of fake profiles such as Support Vector Machines (SVM), Random Forest, and Neural Networks.The dataset aided for training and testing includes several variables taken from social media profiles, such as status_ count, followers count, friends count, favorites count, and listed count. The testing results demonstrate that all three algorithms are capable of identifying phony profiles with a high degree of accuracy, with neural networks having the best accuracy (99.2%). This study implies that machine learning algorithms have the potential to identify fraudulent profiles.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124470017","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}