Pub Date : 2022-07-27DOI: 10.1007/s11334-022-00469-z
S. Mishra, A. Sarkar
{"title":"Context-free dynamic service clustering of IoT-based services","authors":"S. Mishra, A. Sarkar","doi":"10.1007/s11334-022-00469-z","DOIUrl":"https://doi.org/10.1007/s11334-022-00469-z","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46967071","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 : 2022-07-26DOI: 10.1007/s11334-022-00472-4
Saubhik Goswami, S. Roy, Sneha Banerjee, Sohini Bhattacharya, S. Choudhury
{"title":"A profiling-based movie recommendation approach using link prediction","authors":"Saubhik Goswami, S. Roy, Sneha Banerjee, Sohini Bhattacharya, S. Choudhury","doi":"10.1007/s11334-022-00472-4","DOIUrl":"https://doi.org/10.1007/s11334-022-00472-4","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45526619","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 : 2022-07-25DOI: 10.1007/s11334-022-00466-2
S. Das, D. Saha, B. Sinha, K. Sinha
{"title":"Strategic placement of access points for message communication in a smart building environment","authors":"S. Das, D. Saha, B. Sinha, K. Sinha","doi":"10.1007/s11334-022-00466-2","DOIUrl":"https://doi.org/10.1007/s11334-022-00466-2","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45854347","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 : 2022-07-25DOI: 10.1007/s11334-022-00463-5
S. Paul, G. Agha, S. Patterson, C. Varela
{"title":"Eventual consensus in Synod: verification using a failure-aware actor model","authors":"S. Paul, G. Agha, S. Patterson, C. Varela","doi":"10.1007/s11334-022-00463-5","DOIUrl":"https://doi.org/10.1007/s11334-022-00463-5","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43610498","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 : 2022-07-23DOI: 10.1007/s11334-022-00470-6
D. Chatterjee, Souvik Dutta, Rahul Shaikh, S. Saha
{"title":"A lightweight deep neural network for detection of mental states from physiological signals","authors":"D. Chatterjee, Souvik Dutta, Rahul Shaikh, S. Saha","doi":"10.1007/s11334-022-00470-6","DOIUrl":"https://doi.org/10.1007/s11334-022-00470-6","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42611137","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 : 2022-07-13DOI: 10.1007/s11334-022-00461-7
Ashlesha Hota, Subir Panja, A. Nag
{"title":"Lightweight CNN-based malware image classification for resource-constrained applications","authors":"Ashlesha Hota, Subir Panja, A. Nag","doi":"10.1007/s11334-022-00461-7","DOIUrl":"https://doi.org/10.1007/s11334-022-00461-7","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47143747","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 : 2022-06-13DOI: 10.1007/s11334-021-00427-1
Somya Goyal
{"title":"3PcGE: 3-parent child-based genetic evolution for software defect prediction","authors":"Somya Goyal","doi":"10.1007/s11334-021-00427-1","DOIUrl":"https://doi.org/10.1007/s11334-021-00427-1","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":"19 1","pages":"197 - 216"},"PeriodicalIF":1.2,"publicationDate":"2022-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45201262","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 : 2022-06-02DOI: 10.1007/s11334-022-00458-2
Shreya Ghosh, Anwesha Mukherjee
The outbreak of 2019 novel coronavirus (COVID-19) has triggered unprecedented challenges and put the whole world in a parlous condition. The impacts of COVID-19 is a matter of grave concern in terms of fatality rate, socio-economical condition, health infrastructure. It is obvious that only pharmaceutical solutions (vaccine) cannot eradicate this pandemic completely, and effective strategies regarding lockdown measures, restricted mobility, emergency services to users-in brief data-driven decision system is of utmost importance. This necessitates an efficient data analytics framework, data infrastructure to store, manage pandemic related information, and distributed computing platform to support such data-driven operations. In the past few decades, Internet of Things-based devices and applications have emerged significantly in various sectors including healthcare and time-critical applications. To be specific, health-sensors help to accumulate health-related parameters at different time-instances of a day, the movement sensors keep track of mobility traces of the user, and helps to assist them in varied conditions. The smartphones are equipped with several such sensors and the ability of low-cost connected sensors to cover large areas makes it the most useful component to combat pandemics such as COVID-19. However, analysing and managing the huge amount of data generated by these sensors is a big challenge. In this paper we have proposed a unified framework which has three major components: (i) Spatial Data Infrastructure to manage, store, analyse and share spatio-temporal information with stakeholders efficiently, (ii) Cloud-Fog-Edge-based hierarchical architecture to support preliminary diagnosis, monitoring patients' mobility, health parameters and activities while they are in quarantine or home-based treatment, and (iii) Assisting users in varied emergency situation leveraging efficient data-driven techniques at low-latency and energy consumption. The mobility data analytics along with SDI is required to interpret the movement dynamics of the region and correlate with COVID-19 hotspots. Further, Cloud-Fog-Edge-based system architecture is required to provision healthcare services efficiently and in timely manner. The proposed framework yields encouraging results in taking decisions based on the COVID-19 context and assisting users effectively by enhancing accuracy of detecting suspected infected people by 24% and reducing delay by 55% compared to cloud-only system.
{"title":"STROVE: spatial data infrastructure enabled cloud-fog-edge computing framework for combating COVID-19 pandemic.","authors":"Shreya Ghosh, Anwesha Mukherjee","doi":"10.1007/s11334-022-00458-2","DOIUrl":"10.1007/s11334-022-00458-2","url":null,"abstract":"<p><p>The outbreak of 2019 novel coronavirus (COVID-19) has triggered unprecedented challenges and put the whole world in a parlous condition. The impacts of COVID-19 is a matter of grave concern in terms of fatality rate, socio-economical condition, health infrastructure. It is obvious that only pharmaceutical solutions (vaccine) cannot eradicate this pandemic completely, and effective strategies regarding lockdown measures, restricted mobility, emergency services to users-in brief data-driven decision system is of utmost importance. This necessitates an efficient data analytics framework, data infrastructure to store, manage pandemic related information, and distributed computing platform to support such data-driven operations. In the past few decades, Internet of Things-based devices and applications have emerged significantly in various sectors including healthcare and time-critical applications. To be specific, health-sensors help to accumulate health-related parameters at different time-instances of a day, the movement sensors keep track of mobility traces of the user, and helps to assist them in varied conditions. The smartphones are equipped with several such sensors and the ability of low-cost connected sensors to cover large areas makes it the most useful component to combat pandemics such as COVID-19. However, analysing and managing the huge amount of data generated by these sensors is a big challenge. In this paper we have proposed a unified framework which has three major components: (i) Spatial Data Infrastructure to manage, store, analyse and share spatio-temporal information with stakeholders efficiently, (ii) Cloud-Fog-Edge-based hierarchical architecture to support preliminary diagnosis, monitoring patients' mobility, health parameters and activities while they are in quarantine or home-based treatment, and (iii) Assisting users in varied emergency situation leveraging efficient data-driven techniques at low-latency and energy consumption. The mobility data analytics along with SDI is required to interpret the movement dynamics of the region and correlate with COVID-19 hotspots. Further, Cloud-Fog-Edge-based system architecture is required to provision healthcare services efficiently and in timely manner. The proposed framework yields encouraging results in taking decisions based on the COVID-19 context and assisting users effectively by enhancing accuracy of detecting suspected infected people by <math><mo>∼</mo></math> 24% and reducing delay by <math><mo>∼</mo></math> 55% compared to cloud-only system.</p>","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":"1 1","pages":"1-17"},"PeriodicalIF":1.1,"publicationDate":"2022-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9162382/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48361472","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 : 2022-06-01DOI: 10.1007/s11334-022-00457-3
T. R. Benala, Karunya Tantati
{"title":"Efficiency of oversampling methods for enhancing software defect prediction by using imbalanced data","authors":"T. R. Benala, Karunya Tantati","doi":"10.1007/s11334-022-00457-3","DOIUrl":"https://doi.org/10.1007/s11334-022-00457-3","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":"19 1","pages":"247 - 263"},"PeriodicalIF":1.2,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45259309","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 : 2022-05-17DOI: 10.1007/s11334-022-00437-7
Soma Bandyopadhyay, S. S. Thakur, J. K. Mandal
{"title":"Emotion detection for online recommender system using deep learning: a proposed method","authors":"Soma Bandyopadhyay, S. S. Thakur, J. K. Mandal","doi":"10.1007/s11334-022-00437-7","DOIUrl":"https://doi.org/10.1007/s11334-022-00437-7","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44476457","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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