Pub Date : 2022-12-27DOI: 10.1007/s11334-022-00521-y
Sudip Suklabaidya, Indrani Das
{"title":"Comparative exploration of CNN model and transfer learning on fire image dataset","authors":"Sudip Suklabaidya, Indrani Das","doi":"10.1007/s11334-022-00521-y","DOIUrl":"https://doi.org/10.1007/s11334-022-00521-y","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45332915","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":"A low-cost hybrid handwritten Devanagari character classifier","authors":"Jayati Mukherjee, Sneha Mishra, Arjit Tomar, Vikas Kumar","doi":"10.1007/s11334-022-00518-7","DOIUrl":"https://doi.org/10.1007/s11334-022-00518-7","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42884852","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 : 2022-12-22DOI: 10.1007/s11334-022-00520-z
Sourish Dhar, Vishal Gour, Arnab Paul
{"title":"Emotion recognition from lyrical text of Hindi songs","authors":"Sourish Dhar, Vishal Gour, Arnab Paul","doi":"10.1007/s11334-022-00520-z","DOIUrl":"https://doi.org/10.1007/s11334-022-00520-z","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42799475","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 : 2022-12-12DOI: 10.1007/s11334-022-00504-z
Jasjeet Singh, C. Banerjee, S. Pandey
{"title":"Smart automation in manufacturing process using industrial internet of things (IIoT) architecture","authors":"Jasjeet Singh, C. Banerjee, S. Pandey","doi":"10.1007/s11334-022-00504-z","DOIUrl":"https://doi.org/10.1007/s11334-022-00504-z","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41614185","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 : 2022-12-12DOI: 10.1007/s11334-022-00503-0
A. Banerjee, C. Banerjee
{"title":"A hybrid cellular automata-based model for leakage detection in smart drip irrigation water pipeline structure using IoT sensors","authors":"A. Banerjee, C. Banerjee","doi":"10.1007/s11334-022-00503-0","DOIUrl":"https://doi.org/10.1007/s11334-022-00503-0","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46678228","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 : 2022-12-12DOI: 10.1007/s11334-022-00510-1
Hamnah Rao, Meenu Gupta, Parul Agarwal, Surbhi Bhatia, Rajat Bhardwaj
COVID-19 has brought distress among people as pandemic has impacted the globe not only economically or physically, but also psychologically by degrading their mental health. Several research were done in the past which tried to capture these issues but post-covid situation needs to be critically handled and analyzed so that corrective measures for cure and support can be taken. The current work is an attempt to observe the mental health issues (anxiety and depression) that occurred during the lockdown by combining a few pre-designed questionnaires. The online survey included 244 respondents (females = 126, males = 118) and when we thoroughly examined gender, age group, and occupational activity as three main factors, the results showed that female students aged 21-35 were affected more than male students of the same age group. In this study, we used a 4-item Geriatric Depression Scale (GDS-4) as a depression screening instrument and discovered that 225 out of total respondents were depressed. Using the Generalized Anxiety Disorder (GAD-7), a self-administered anxiety tool, we found 103 responders with mild, 87 with moderate, 12 with severe, and 42 with no anxiety symptoms. Patient Health Questionnaire (PHQ-9) showed the symptoms of mental disorders where 68 individuals had mild, 85 had moderate, 37 had moderately severe, 12 had severe, and 42 had no symptoms. With the help of multiple linear regression analysis, demographic data were evaluated, and later results were compared between GDS-4, GAD-7, and PHQ-9 using correlation coefficients. This will help practitioners and individuals to focus on their physiological health and adopt diagnostic measures.
{"title":"Mental health issues assessment using tools during COVID-19 pandemic.","authors":"Hamnah Rao, Meenu Gupta, Parul Agarwal, Surbhi Bhatia, Rajat Bhardwaj","doi":"10.1007/s11334-022-00510-1","DOIUrl":"10.1007/s11334-022-00510-1","url":null,"abstract":"<p><p>COVID-19 has brought distress among people as pandemic has impacted the globe not only economically or physically, but also psychologically by degrading their mental health. Several research were done in the past which tried to capture these issues but post-covid situation needs to be critically handled and analyzed so that corrective measures for cure and support can be taken. The current work is an attempt to observe the mental health issues (anxiety and depression) that occurred during the lockdown by combining a few pre-designed questionnaires. The online survey included 244 respondents (females = 126, males = 118) and when we thoroughly examined gender, age group, and occupational activity as three main factors, the results showed that female students aged 21-35 were affected more than male students of the same age group. In this study, we used a 4-item Geriatric Depression Scale (GDS-4) as a depression screening instrument and discovered that 225 out of total respondents were depressed. Using the Generalized Anxiety Disorder (GAD-7), a self-administered anxiety tool, we found 103 responders with mild, 87 with moderate, 12 with severe, and 42 with no anxiety symptoms. Patient Health Questionnaire (PHQ-9) showed the symptoms of mental disorders where 68 individuals had mild, 85 had moderate, 37 had moderately severe, 12 had severe, and 42 had no symptoms. With the help of multiple linear regression analysis, demographic data were evaluated, and later results were compared between GDS-4, GAD-7, and PHQ-9 using correlation coefficients. This will help practitioners and individuals to focus on their physiological health and adopt diagnostic measures.</p>","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742669/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10460744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-09DOI: 10.1007/s11334-022-00514-x
Sufal Das
{"title":"LowEST: a low resource semantic text summarization method for big data","authors":"Sufal Das","doi":"10.1007/s11334-022-00514-x","DOIUrl":"https://doi.org/10.1007/s11334-022-00514-x","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45649953","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}
Coronavirus disease 2019 (Covid-19) is a contiguous disease which affected a large volume of population with a high mortality rate across the globe. For dealing with the recent spread of COVID-19, one of the prime measures was to vaccinate people in full extent. People across the globe have diverse opinion regarding the vaccination process, its side effect and effectiveness. Such opinions get located into different micro-blogging sites including twitter. Opinion mining through analyzing public sentiments of such micro-blogs is a common method for detection of public responses. This paper focuses on classifying the public opinions expressed related to COVID-19 vaccination at sub topic level. The procedure tries to find out different keywords regarding positive, negative and neutral sentences. From those keywords, different related query set was constructed using Rocchio query expansion algorithm for positive, negative and neutral sentiments. Later Extended query set is used to form subtopic using LDA algorithm to identify the nature of the tweets. The proposed LDA model came across with 0.56 coherence score with twenty subtopics, which is fair enough to classify the tweets in different classes. This trained model is finally used to classify the tweets in real time with Apache Kafka framework regarding different subtopic based on positive, negative or neutral sentiment.
{"title":"Opinion classification at subtopic level from COVID vaccination-related tweets.","authors":"Mrinmoy Sadhukhan, Pramita Bhattacherjee, Tamal Mondal, Sudakshina Dasgupta, Indrajit Bhattacharya","doi":"10.1007/s11334-022-00516-9","DOIUrl":"10.1007/s11334-022-00516-9","url":null,"abstract":"<p><p>Coronavirus disease 2019 (Covid-19) is a contiguous disease which affected a large volume of population with a high mortality rate across the globe. For dealing with the recent spread of COVID-19, one of the prime measures was to vaccinate people in full extent. People across the globe have diverse opinion regarding the vaccination process, its side effect and effectiveness. Such opinions get located into different micro-blogging sites including twitter. Opinion mining through analyzing public sentiments of such micro-blogs is a common method for detection of public responses. This paper focuses on classifying the public opinions expressed related to COVID-19 vaccination at sub topic level. The procedure tries to find out different keywords regarding positive, negative and neutral sentences. From those keywords, different related query set was constructed using Rocchio query expansion algorithm for positive, negative and neutral sentiments. Later Extended query set is used to form subtopic using LDA algorithm to identify the nature of the tweets. The proposed LDA model came across with 0.56 coherence score with twenty subtopics, which is fair enough to classify the tweets in different classes. This trained model is finally used to classify the tweets in real time with Apache Kafka framework regarding different subtopic based on positive, negative or neutral sentiment.</p>","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734573/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10749763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-08DOI: 10.1007/s11334-022-00508-9
Jyotsna P. Gabhane, Sunil Pathak, N. Thakare
{"title":"A novel hybrid multi-resource load balancing approach using ant colony optimization with Tabu search for cloud computing","authors":"Jyotsna P. Gabhane, Sunil Pathak, N. Thakare","doi":"10.1007/s11334-022-00508-9","DOIUrl":"https://doi.org/10.1007/s11334-022-00508-9","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43521288","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 : 2022-12-06DOI: 10.1007/s11334-022-00515-w
Rosy Swami, Prodipto Das
{"title":"A new secure data retrieval system based on ECDH and hierarchical clustering with Pearson correlation","authors":"Rosy Swami, Prodipto Das","doi":"10.1007/s11334-022-00515-w","DOIUrl":"https://doi.org/10.1007/s11334-022-00515-w","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45871260","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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