{"title":"Climate Change and COVID-19 Metaphors: Environmental Consciousness in Social Media","authors":"Naganna Chetty, Sreejith Alathur","doi":"10.1109/ICCCS51487.2021.9776349","DOIUrl":"https://doi.org/10.1109/ICCCS51487.2021.9776349","url":null,"abstract":"The changes in environmental conditions have reportable impacts on the Covid-19 pandemic and vice versa. About these impacts, the people are deliberating metaphorically on climate change and Covid-19. The purpose of the paper is to analyze and identify the people's consciousness about the interrelationship between climate change and Covid-19. The existing literature on climate change and impacts on Covid-19 are reviewed, and inferences have been drawn from the result. Apart from the literature review, the Twitter social media content is analyzed and interpreted. The results have shown that there are noticeable impacts of climate change on Covid-19 and vice-versa. The people are conscious of the relationship between climate change and the Covid-19 pandemic.","PeriodicalId":120389,"journal":{"name":"2021 6th International Conference on Computing, Communication and Security (ICCCS)","volume":"44 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120858228","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":"Computational Analysis of Online Hate Content using Cognitive -AI","authors":"Naganna Chetty, Sreejith Alathur, Dittin Andrews, Vishal Kumar","doi":"10.1109/ICCCS51487.2021.9776339","DOIUrl":"https://doi.org/10.1109/ICCCS51487.2021.9776339","url":null,"abstract":"As the hate content is expressed based on the identity of an individual, it is influencing communal violence in society. The inappropriate content can be detected and analyzed using automated AI systems. The purpose of this paper is to study the role of AI systems in the detection of online hate content and how the cognitive processes affect the behavior of an individual. Therefore, using related keywords in the research domain, the published articles are searched through different search engines. The information from the associated articles and sources is reported in the paper. The literature review revealed that social media platforms could use AI systems to detect and analyze online hate content. It has been observed that the cognitive process affects both the perpetrators and the victims of online hate content. The paper also highlights some of the challenges in controlling online hate content. The paper concludes with a note that the hate content can be reduced by building robust AI systems and healthier cognitive processes of an individual.","PeriodicalId":120389,"journal":{"name":"2021 6th International Conference on Computing, Communication and Security (ICCCS)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124816171","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}
Ajay Kumar, Simmi Perveen, Shivani Singh, Ankit Kumar, S. Majhi, S. Das
{"title":"6th Generation: Communication, Signal Processing, Advanced Infrastructure, Emerging Technologies and Challenges","authors":"Ajay Kumar, Simmi Perveen, Shivani Singh, Ankit Kumar, S. Majhi, S. Das","doi":"10.1109/ICCCS51487.2021.9776334","DOIUrl":"https://doi.org/10.1109/ICCCS51487.2021.9776334","url":null,"abstract":"In the very initial stage of fifth-generation (5G) com-mercialization, researchers, scientists, and engineers are realizing the need for further enhancement in 5G parameters and more intelligent techniques to fulfill the expected future requirements. Due to advancement in infrastructure and rapid increment in wireless communication users, after few years, 5G parameters will not be sufficient to fulfill the requirements. The enhanced data rate, data security, ultra-low latency, low computation complexity, ultra-high spectrum efficiency, and power-efficient techniques are the main requirements. Thus sixth-generation (6G) wireless communication is becoming a research hot-spot. The key enablers techniques for 6G communication are auto-pilot unmanned aerial vehicle communication, high mobility communication, satellite communication, advanced device-to-device communication, accurate positioning system, GPS de-nied positioning, free-space optics, energy harvesting, wireless power transfer, internet of everything, massive internet of thing, intelligent reflecting surfaces, and artificial intelligence-enabled transceivers. In this review article, the role of these techniques for future wireless communication enhancement is discussed. We have also discussed enhancement in existing wireless technology such as pilot-based estimation to blind estimation, advanced error controlling techniques, advanced channel coding, millimeter waves, hybrid non-orthogonal multiple access techniques, orthog-onal time-frequency, and space modulation.","PeriodicalId":120389,"journal":{"name":"2021 6th International Conference on Computing, Communication and Security (ICCCS)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122560926","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":"Simulation and Analysis of an Improved Quality Multilevel Inverter for Linear Types of Load","authors":"Mohmmad Ahmad, S. Kirmani, M. Ehtesham","doi":"10.1109/ICCCS51487.2021.9776345","DOIUrl":"https://doi.org/10.1109/ICCCS51487.2021.9776345","url":null,"abstract":"In recent years, there is a tremendous research going on the quality of output of an inverter. As various sources provide the electric supply in dc form, like Solar PV, Fuel cell etc., there is a requirement of improved power quality inverter to convert this dc power into ac one, which can be fed to various ac loads or even, can be fed to the utility grid. Multilevel Inverter has gained much more popularity in recent years, as these provide the output waveform closer to the sinusoidal one. In this paper, a Multilevel Inverter (MLI) scheme has been presented for analysis. The analysis of MLI has been carried out in Matlab/Simulink software for linear RL load at different power factor, keeping the load impedance as same. It is found that the total harmonics distortion (THD) in output waveform reduces with the variation of load power factor. These harmonic contents are further reduced to a desired value (Within IEEE standard range) by inserting a passive LC filter across the linear load. It is observed that after inserting a LC filter, the output voltage and current waveform approach towards nearly sinusoidal waveform. Moreover, the active and reactive power variation with load power factor variation has also been discussed. The various results have been presented in tabular form and also discussed graphically.","PeriodicalId":120389,"journal":{"name":"2021 6th International Conference on Computing, Communication and Security (ICCCS)","volume":"11 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114136217","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":"Ensemble Transfer Learning Approach for Breast Cancer Classification using Thermograms","authors":"L. Garía, M. Hariharan","doi":"10.1109/ICCCS51487.2021.9776338","DOIUrl":"https://doi.org/10.1109/ICCCS51487.2021.9776338","url":null,"abstract":"Breast cancer is one of the primary probable sicknesses particularly among women and utmost associated agent of female mortality. The survivability of breast cancer patients is increased since the last decade with the help of powerful treatment, which is made possible due to advancement in technology. Imaging is one of the important parts of cancer clinical protocol. Thermal imaging is a non-invasive, non-contact and economical imaging technique showing promising results. Transfer learning reduces the computational time required in training while building a network or model for image classification. This paper proposes a methodology using ensemble transfer learning approach for breast thermogram classification as cancerous and non-cancerous. Competitive results were obtained and compared with existing works. Using the proposed approach, a maximum accuracy of 96.25% and F1 score of 0.96 were obtained.","PeriodicalId":120389,"journal":{"name":"2021 6th International Conference on Computing, Communication and Security (ICCCS)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125088188","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":"Reactive Power Compensation using Shunt Compensation Technique in the Smart Distribution Grid","authors":"Sampatirao Nanibabu, B. Shakila, M. Prakash","doi":"10.1109/ICCCS51487.2021.9776327","DOIUrl":"https://doi.org/10.1109/ICCCS51487.2021.9776327","url":null,"abstract":"Intermittent consumption pattern of the customers in the distribution grid is one among the major cause for power quality degradation. The interconnected loads of distribution grid are predominantly inductive in nature. Maintenance of power factor near unity is crucial and hence automatic power factor correction with stand-alone processor is proposed. Capacitor bank with selector featuring a step increase of 2µF is incorporated to mitigate the reactive power imbalance caused due to varying load. The advent of smart metering infrastructure in the smart distribution grid paved way to precisely control the reactive power compensation at various instances, even with the unpredicted time varying loads. Extensive analysis has been carried out in experimental setup by considering versatile loading conditions, with the help of RLC load. Combination of different types of loads yielded varying power factor and the required amount of reactive power compensation was calculated continuously. Capacitor banks with selector have been operated with the help of relays based on the triggering signals sent from processor. The required unity power factor is achieved in most of the cases where the required reactive power is around the existing reactive power value.","PeriodicalId":120389,"journal":{"name":"2021 6th International Conference on Computing, Communication and Security (ICCCS)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134338800","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}
Aniket Dhawad, Suranjan Sarkar, Amit Agarwal, Rama Kishore Darlapudi
{"title":"Recommendation Engines: Traditional vs Deep Learning Approaches","authors":"Aniket Dhawad, Suranjan Sarkar, Amit Agarwal, Rama Kishore Darlapudi","doi":"10.1109/ICCCS51487.2021.9776342","DOIUrl":"https://doi.org/10.1109/ICCCS51487.2021.9776342","url":null,"abstract":"With digitlzation growing by leap and bounds, websites are now overloaded with products and information density, making it challenging for customers to choose between a variety of products. The Recommendation engine enables companies to deliver their customers more personalized and customized products or information efficiently. As a result, the recommendation engine eventually helps in boosting different business performance metrics such as revenues, Click- Through Rates (CTRs), conversions, etc., for these companies significantly. And in the long run, it also optimizes user experience, thus translating to higher customer satisfaction and retention. In this paper, we will highlight some of the contemporary algorithms used in building high-performance recommendation engines, illustrate use cases from Tech Giants that can be applied in the context of the banking and financial services domain and identify major challenges that are open for further research work. Also, in this paper, we will be using recommendation engine and recommender system alternatively as both are synonymous.","PeriodicalId":120389,"journal":{"name":"2021 6th International Conference on Computing, Communication and Security (ICCCS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123839756","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":"Probabilities of Risk Due to Random Aerosol Displacement and Aleatory Social Distancing","authors":"H. Nieto-Chaupis","doi":"10.1109/ICCCS51487.2021.9776337","DOIUrl":"https://doi.org/10.1109/ICCCS51487.2021.9776337","url":null,"abstract":"With the apparition of Corona Virus Disease (Covid-19 in short) a plethora of mechanisms have emerged in order to protect people. One of them is the well-known social distancing that is a global protocol that has emerged in 2020 in order to be applied in pandemic times. The protocol persists to date event when people have got the vaccine because the mutation of virus and the risk to be infected again. Commonly these distances have been established to be in the range of distances between 1.5 and 2.0 meters, that in a first instance would guarantee a common and healthy interaction among people. Although very little information on the calculation of this is known, this paper proposes a theory by the which the social distancing might be strongly dependent on stochastic events, so that this study deepens the origin with respect the true or approximated value of social distancing. Simulations and estimations are presented.","PeriodicalId":120389,"journal":{"name":"2021 6th International Conference on Computing, Communication and Security (ICCCS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128242619","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":"Military & War Metaphor during Covid-19 in India","authors":"J. Vasudevan, Sreejith Alathur","doi":"10.1109/ICCCS51487.2021.9776329","DOIUrl":"https://doi.org/10.1109/ICCCS51487.2021.9776329","url":null,"abstract":"War and military metaphors are commonly used in the situation where the government requires strong and strict decisions. Metaphors may play a crucial role in the healthcare domain when there is an emergency situation like COVID-19 pandemic. In the era of social media, the emergency communication can be disseminated in most efficient manner. This paper proposes and investigates the use of war and military metaphor in the Twitter and its impact on the citizen and the government machinery. We used data mining tools to extract data from the Twitter and subjected it for sentiment analysis. The metaphor perception in the healthcare context have different dimension. It will induce fear and insecurity in the citizen and more authoritative nature in the people in power. The use of war and military metaphors will have mixed responses depending the socio-economic and cultural background of the person. The war and military metaphor will prevail until the quest for power by the human being exists in nature. The war and military are the having different perceptions among the people lives in fear in the war hit region and the people never experienced the war situation.","PeriodicalId":120389,"journal":{"name":"2021 6th International Conference on Computing, Communication and Security (ICCCS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114981959","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":"An end-to-end interpolated Automatic speech recognition system with punctuated transcripts for the Hindi language","authors":"S. Joshi, V. Kumar","doi":"10.1109/ICCCS51487.2021.9776324","DOIUrl":"https://doi.org/10.1109/ICCCS51487.2021.9776324","url":null,"abstract":"The Automatic Speech Recognition System (ASR) produces transcripts that often are misinterpreted and confuses the reader due to lack of context and punctuations. The presence of punctuation in the text improves readability and helps in better cognitive understanding. A wide variety of work has been done on English but Hindi which is the third-largest spoken language in the world, after English and Mandarin, still remains in the shadows. This paper aims to extend the technology to a wider section and introduces an end-to-end system, interpolating an automatic speech recognition system and natural language processing to produce high-quality punctuated transcriptions for the Hindi language. An ASR is implemented using the Kaldi toolkit leveraging the hybrid deep neural networks and the punctuation restoration is done with Bidirectional RNNs with an attention network.","PeriodicalId":120389,"journal":{"name":"2021 6th International Conference on Computing, Communication and Security (ICCCS)","volume":"412 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133972079","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}