Mahadevaswamy UDIGALA BASAVARAJU, Manjunath Chandini, N. Shivani, P. Swathi
The novel coronavirus disease (COVID-19) has currently affected millions of people, claiming more than 4,000,000 lives all over the world. Several dashboards have been created to analyze the present situation and get a better grasp of the current status of COVID-19. As the situation unfolded, infections caused by species of fungi, Mucormycosis (commonly called black fungus), have affected patients treated for COVID-19. Therefore, to facilitate information and to create awareness, it would be better to have a dashboard that display trends and data on COVID-19 and associated related diseases. In the proposed work, a dashboard has been created to visualize how COVID-19 epidemic has an impact in the global scenario. With the present work, the spread of diseases associated with COVID-19 (fungi variants) can be visualized. The data visualization is performed using Python. The tool kits and packages used for this purpose is Dash by Plotly. The acquired data is classified and filtered with interesting criteria in the ranging process stage. Using specific tools, data representations like line chart, bubble map, heat map, choropleths, tree map and, folium map are plotted to visualize the data.
新型冠状病毒病(COVID-19)目前已影响数百万人,夺去了全世界400多万人的生命。已经创建了几个仪表板来分析目前的情况,并更好地掌握COVID-19的现状。随着形势的发展,由毛霉病(通常称为黑菌)真菌引起的感染已影响到接受COVID-19治疗的患者。因此,为了方便信息和提高认识,最好有一个仪表板,显示COVID-19和相关疾病的趋势和数据。在拟议的工作中,创建了一个仪表板,以可视化COVID-19流行病如何对全球情景产生影响。通过目前的工作,可以可视化与COVID-19(真菌变体)相关的疾病的传播。数据可视化是使用Python执行的。用于此目的的工具包和包是Dash by Plotly。在测距处理阶段,对采集到的数据进行分类和过滤。使用特定的工具,绘制数据表示,如折线图、气泡图、热图、枝叶图、树图和叶图,以使数据可视化。
{"title":"DATA VISUALIZATION OF COVID-19 AND ASSOCIATED DISEASES","authors":"Mahadevaswamy UDIGALA BASAVARAJU, Manjunath Chandini, N. Shivani, P. Swathi","doi":"10.26634/jcom.9.1.18406","DOIUrl":"https://doi.org/10.26634/jcom.9.1.18406","url":null,"abstract":"The novel coronavirus disease (COVID-19) has currently affected millions of people, claiming more than 4,000,000 lives all over the world. Several dashboards have been created to analyze the present situation and get a better grasp of the current status of COVID-19. As the situation unfolded, infections caused by species of fungi, Mucormycosis (commonly called black fungus), have affected patients treated for COVID-19. Therefore, to facilitate information and to create awareness, it would be better to have a dashboard that display trends and data on COVID-19 and associated related diseases. In the proposed work, a dashboard has been created to visualize how COVID-19 epidemic has an impact in the global scenario. With the present work, the spread of diseases associated with COVID-19 (fungi variants) can be visualized. The data visualization is performed using Python. The tool kits and packages used for this purpose is Dash by Plotly. The acquired data is classified and filtered with interesting criteria in the ranging process stage. Using specific tools, data representations like line chart, bubble map, heat map, choropleths, tree map and, folium map are plotted to visualize the data.","PeriodicalId":130578,"journal":{"name":"i-manager's Journal on Computer Science","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116464279","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}
This paper mainly deals with mixed-image secret writing techniques. From the point of view of information security, recording secret images are extremely important. Security is the most complex aspect of networks and network applications. The web and networked applications are growing in the blink of an eye, which increases the importance and, therefore, the value of the information transmitted through the web or alternative media. Encryption can be related to improve image security by scanning pixels. Encryption will protect privacy on its own. It works in a wide variety of fields, such as network communications, medical photography, and military communications. Due to the natural selection of images, such as high duplication of information and the ability of mass dissemination of information, image encryption is different from the text. Text encryption is the conversion of information into an encoded cipher code that cannot be easily decrypted by outsiders.
{"title":"AES-based encoding and decoding images using MATLAB","authors":"Thakur Neelima, Choubey Siddhartha, Choubey Abha","doi":"10.26634/jcom.9.4.18595","DOIUrl":"https://doi.org/10.26634/jcom.9.4.18595","url":null,"abstract":"This paper mainly deals with mixed-image secret writing techniques. From the point of view of information security, recording secret images are extremely important. Security is the most complex aspect of networks and network applications. The web and networked applications are growing in the blink of an eye, which increases the importance and, therefore, the value of the information transmitted through the web or alternative media. Encryption can be related to improve image security by scanning pixels. Encryption will protect privacy on its own. It works in a wide variety of fields, such as network communications, medical photography, and military communications. Due to the natural selection of images, such as high duplication of information and the ability of mass dissemination of information, image encryption is different from the text. Text encryption is the conversion of information into an encoded cipher code that cannot be easily decrypted by outsiders.","PeriodicalId":130578,"journal":{"name":"i-manager's Journal on Computer Science","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127480749","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}
Hadir Adebiyi Busayo, Tijani Salawudeen Ahmed, Folashade O. Adebiyi Risikat
{"title":"PERFORMANCE EVALUATION OF CULTURAL ARTIFICIAL BEE\u0000 COLONY AND CULTURAL ARTIFICIAL FISH SWARM ALGORITHM","authors":"Hadir Adebiyi Busayo, Tijani Salawudeen Ahmed, Folashade O. Adebiyi Risikat","doi":"10.26634/jcom.6.4.15725","DOIUrl":"https://doi.org/10.26634/jcom.6.4.15725","url":null,"abstract":"","PeriodicalId":130578,"journal":{"name":"i-manager's Journal on Computer Science","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128843969","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}