A. Srivastava, Bareilly India. Asst. Profs. Srmscet, Amit Sharma, G. Sharma, Neha Sharma, Bareilly India. Asst. Prof.
Sampling frequency offset (SFO) is an important issue in the tactical sensor network (TSN) based visible light communication (VLC) systems in Tactical Sensor Network. A digital interpolation can be used to effectively compensate the SFO. In such case, oversampling at the receiver ADC is required to mitigate the aliasing effect due to imperfect DACs and nonlinearity of visible light sources that cause extra frequency components inside/outside the signal spectrum. The oversampling factor is mainly determined by the order of the digital interpolation filter and TSN links. The design of the TSN-VLC receiver incorporating the digital interpolation filter is vital as it affects not only the transmission performance but also the complexity of signal processing. To evaluate the feasibility of the digital interpolation-based SFO compensation schemes for cost-sensitive TSN applications. Based on the real-time VLC tactical sensor network, the comparison in the VLC-TSN transmission performance and DSP complexity between different interpolation-based SFO compensation schemes is analyzed.
{"title":"Analysis of synchronous interpolated signals in Tactical Sensor Network-Visible light communication (TSN-VLC) link","authors":"A. Srivastava, Bareilly India. Asst. Profs. Srmscet, Amit Sharma, G. Sharma, Neha Sharma, Bareilly India. Asst. Prof.","doi":"10.51201/JUSST/21/05235","DOIUrl":"https://doi.org/10.51201/JUSST/21/05235","url":null,"abstract":"Sampling frequency offset (SFO) is an important issue in the tactical sensor network (TSN) based visible light communication (VLC) systems in Tactical Sensor Network. A digital interpolation can be used to effectively compensate the SFO. In such case, oversampling at the receiver ADC is required to mitigate the aliasing effect due to imperfect DACs and nonlinearity of visible light sources that cause extra frequency components inside/outside the signal spectrum. The oversampling factor is mainly determined by the order of the digital interpolation filter and TSN links. The design of the TSN-VLC receiver incorporating the digital interpolation filter is vital as it affects not only the transmission performance but also the complexity of signal processing. To evaluate the feasibility of the digital interpolation-based SFO compensation schemes for cost-sensitive TSN applications. Based on the real-time VLC tactical sensor network, the comparison in the VLC-TSN transmission performance and DSP complexity between different interpolation-based SFO compensation schemes is analyzed.","PeriodicalId":17520,"journal":{"name":"Journal of the University of Shanghai for Science and Technology","volume":"11 12 1","pages":"196-203"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80902708","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}
Kodhandaraman Chinnathambi, Oman. Applied Sciences-Ibra, Latha Anandan, B. Bharathi
The Covid-19 outbreak led to the closure of educational institutions and affected all the stakeholders in varied ways. As an interim measure, the online mode of teaching has been adopted all over the world. This transition, with its own pros and cons, has provided a path for continuing with education even during the pandemic. This new scenario involves financial and non-financial aspects with regard to education, and there is therefore a need to study the transition carefully.This study aims to explore and describe Teachers’ Perception on online teaching. A quantitative research design has been adopted for the study. A structured questionnaire was used (N=56) for data collection from teachers. The study participants were the teachers at the English Language Centre at the University of Technology and Applied Sciences (Ibra), Sultanate of Oman. The findings of the study confirm that online teaching has been successful during covid-19 outbreak.
{"title":"Teachers’ Perception of Online Teaching during Covid-19: A study at UTAS-Ibra, Oman.","authors":"Kodhandaraman Chinnathambi, Oman. Applied Sciences-Ibra, Latha Anandan, B. Bharathi","doi":"10.51201/JUSST/21/05234","DOIUrl":"https://doi.org/10.51201/JUSST/21/05234","url":null,"abstract":"The Covid-19 outbreak led to the closure of educational institutions and affected all the stakeholders in varied ways. As an interim measure, the online mode of teaching has been adopted all over the world. This transition, with its own pros and cons, has provided a path for continuing with education even during the pandemic. This new scenario involves financial and non-financial aspects with regard to education, and there is therefore a need to study the transition carefully.This study aims to explore and describe Teachers’ Perception on online teaching. A quantitative research design has been adopted for the study. A structured questionnaire was used (N=56) for data collection from teachers. The study participants were the teachers at the English Language Centre at the University of Technology and Applied Sciences (Ibra), Sultanate of Oman. The findings of the study confirm that online teaching has been successful during covid-19 outbreak.","PeriodicalId":17520,"journal":{"name":"Journal of the University of Shanghai for Science and Technology","volume":"38 1","pages":"91-107"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75786381","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}
A. Ahmed, A. Ismail., H. Omar, S. Zulkifli, S. Yusof, F. Rahman.
Immunohistochemical techniques have been used to identify Metallothionein3 (MT3) expression specifically to detect MT3 levels in the kidney. The techniques employed are highly sensitive, thus allowing the detection of very low amount of proteins with the use of antibodies. The present study aimed at identifying the MT3 expressions and localizations in the kidney tissue of estuarine catfish Arius thalassinus from Kuala Gula using immunohistochemical methods. Primary mouse monoclonal anti-MT3 (1F11), primary antibody (1:2000), secondary antibody and Goat anti-mouse IgG2 (1:2000) were used. MT3 bands were detected using (Santa Cruz kit USA method). Heavy metals (Cd, Pb, Zn and Cu) were determined using aqua regia’s methods followed by analyses with AAS. The results showed high expressions of Metallothionein3 (MT3) with an increasing concentration of heavy metals. Large catfish A. thalassinus had higher accumulation of heavy metals concentrations therefore, exhibiting higher expressions than smaller sized fish. The concentration of heavy metals in fishes were: Zn (284.00 ±29.7, 259.32± 23.2 and 240.90±20.3 μg/g-1 d.w), Cu (7.00±1.7, 6.90±1.3 and 5.60±1.8 μg/g-1 d.w), Pb (66.80±10.8, 35.31±6.4 and 26.02±6.9 μg/g-1 d.w) and Cd (1.32 ± 0.12, 1.19 ±0.12 and 1.20± 0.09 μg/g-1 d.w) in large, medium and small fish respectively. The results of this study suggests it suitability as biomarker candidate for pollution assessment in the aquatic environment. The different MT3 expressions in different sized fish and different polluted places showed the potential use of MT3 as biomonitoring biomarker for heavy metals exposure in an aquatic environment.
{"title":"Metallothionein Expression in Estuarine Catfish (Arius thalassinus) Kidney on Exposure to Heavy Metals (Cd, Pb, Cu and Zn) Concentration","authors":"A. Ahmed, A. Ismail., H. Omar, S. Zulkifli, S. Yusof, F. Rahman.","doi":"10.51201/JUSST/21/05184","DOIUrl":"https://doi.org/10.51201/JUSST/21/05184","url":null,"abstract":"Immunohistochemical techniques have been used to identify Metallothionein3 (MT3) expression specifically to detect MT3 levels in the kidney. The techniques employed are highly sensitive, thus allowing the detection of very low amount of proteins with the use of antibodies. The present study aimed at identifying the MT3 expressions and localizations in the kidney tissue of estuarine catfish Arius thalassinus from Kuala Gula using immunohistochemical methods. Primary mouse monoclonal anti-MT3 (1F11), primary antibody (1:2000), secondary antibody and Goat anti-mouse IgG2 (1:2000) were used. MT3 bands were detected using (Santa Cruz kit USA method). Heavy metals (Cd, Pb, Zn and Cu) were determined using aqua regia’s methods followed by analyses with AAS. The results showed high expressions of Metallothionein3 (MT3) with an increasing concentration of heavy metals. Large catfish A. thalassinus had higher accumulation of heavy metals concentrations therefore, exhibiting higher expressions than smaller sized fish. The concentration of heavy metals in fishes were: Zn (284.00 ±29.7, 259.32± 23.2 and 240.90±20.3 μg/g-1 d.w), Cu (7.00±1.7, 6.90±1.3 and 5.60±1.8 μg/g-1 d.w), Pb (66.80±10.8, 35.31±6.4 and 26.02±6.9 μg/g-1 d.w) and Cd (1.32 ± 0.12, 1.19 ±0.12 and 1.20± 0.09 μg/g-1 d.w) in large, medium and small fish respectively. The results of this study suggests it suitability as biomarker candidate for pollution assessment in the aquatic environment. The different MT3 expressions in different sized fish and different polluted places showed the potential use of MT3 as biomonitoring biomarker for heavy metals exposure in an aquatic environment.","PeriodicalId":17520,"journal":{"name":"Journal of the University of Shanghai for Science and Technology","volume":"12 1","pages":"186-195"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87187240","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 deals with the relocation of multi-target Virtual Machines (VMs) in a cloud server farm. The proposed VM movement technique at the cloud server farm meanders VMs from underutilized to full capacity Physical Machines (PMs) to energy-efficient Physical Machines (PMs). Furthermore, the multi-target VMs relocation technique not only reduces the forced use of PMs and switches but also confirms the essence of administration by preserving the SLA at the cloud server farm. A novel energy-efficient hybrid (EEHF) system for enhancing the proficiency of electrical energy usage in data centers is carried out and evaluated in this paper. Instead of focusing on only one approach as in previous related works, the proposed system is truly based on solicitation preparation and worker booking. Until managing the preparation, the EEH system sorts the errand clients’ requests according to their time and force requirements. It has a booking system that takes power use into account when making planning decisions. It also has a precise calculation that determines if under burdened employees should be rested or dozed in overburdened workers, virtual machines that should be floated, and workers that will receive moved virtual machines VMs. When compared to other strategies, our proposed VMs development strategy may find a great balance among three conflict goals. Furthermore, the shroud-based cloud sim test results show that our proposed multi-target VMs relocation strategy outperforms best-in-class VMs movement strategies like the Random VMs relocation system in terms of energy efficiency and SLA penetration at the cloud server farm.
{"title":"An Improved Energy-Efficient Hybrid Framework Eehf – Algorithm for Green Cloud Computing","authors":"Sangeetha, R. Arun","doi":"10.51201/JUSST/21/05206","DOIUrl":"https://doi.org/10.51201/JUSST/21/05206","url":null,"abstract":"This paper deals with the relocation of multi-target Virtual Machines (VMs) in a cloud server farm. The proposed VM movement technique at the cloud server farm meanders VMs from underutilized to full capacity Physical Machines (PMs) to energy-efficient Physical Machines (PMs). Furthermore, the multi-target VMs relocation technique not only reduces the forced use of PMs and switches but also confirms the essence of administration by preserving the SLA at the cloud server farm. A novel energy-efficient hybrid (EEHF) system for enhancing the proficiency of electrical energy usage in data centers is carried out and evaluated in this paper. Instead of focusing on only one approach as in previous related works, the proposed system is truly based on solicitation preparation and worker booking. Until managing the preparation, the EEH system sorts the errand clients’ requests according to their time and force requirements. It has a booking system that takes power use into account when making planning decisions. It also has a precise calculation that determines if under burdened employees should be rested or dozed in overburdened workers, virtual machines that should be floated, and workers that will receive moved virtual machines VMs. When compared to other strategies, our proposed VMs development strategy may find a great balance among three conflict goals. Furthermore, the shroud-based cloud sim test results show that our proposed multi-target VMs relocation strategy outperforms best-in-class VMs movement strategies like the Random VMs relocation system in terms of energy efficiency and SLA penetration at the cloud server farm.","PeriodicalId":17520,"journal":{"name":"Journal of the University of Shanghai for Science and Technology","volume":"3 1","pages":"180-185"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81946766","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}
The purpose of this article is to provide a comprehensive literature review pertaining to real earnings management (REM) since 2006. It highlights the development of REM research, its antecedents, and consequences and indicates avenues for future research. A structured literature review of articles related to REM was carried out by investigating articles published during the period 2006-2018, with the exception of the recent articles. Although the literature has a fair share of studies on REM, they are predominately related to developed economies. Researchers in the future must examine the REM in the context of emerging economies such as India and China. It is observed that most of the existing research has emphasized the factors leading to REM or its consequences. However, there is a need for experimental research to understand the behavioral aspects of managers engaging in REM and the potential environmental interactions between these components. The findings of this study would provide valuable insights to researchers and scholars to engage in future earnings management research.
{"title":"Future of earnings management research: Comprehensive literature review on real earnings management","authors":"Savitha Heggede, Accounting Economics Faculty Associate","doi":"10.51201/JUSST/21/05220","DOIUrl":"https://doi.org/10.51201/JUSST/21/05220","url":null,"abstract":"The purpose of this article is to provide a comprehensive literature review pertaining to real earnings management (REM) since 2006. It highlights the development of REM research, its antecedents, and consequences and indicates avenues for future research. A structured literature review of articles related to REM was carried out by investigating articles published during the period 2006-2018, with the exception of the recent articles. Although the literature has a fair share of studies on REM, they are predominately related to developed economies. Researchers in the future must examine the REM in the context of emerging economies such as India and China. It is observed that most of the existing research has emphasized the factors leading to REM or its consequences. However, there is a need for experimental research to understand the behavioral aspects of managers engaging in REM and the potential environmental interactions between these components. The findings of this study would provide valuable insights to researchers and scholars to engage in future earnings management research.","PeriodicalId":17520,"journal":{"name":"Journal of the University of Shanghai for Science and Technology","volume":"157 1","pages":"132-163"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84676558","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}
Stubble burning is now considered to be one of the major activity affecting the air quality because it is one of the major source of aerosol as well as gaseous pollution. There are two main reasons for biomass burning, first one is that there is a very short window of time between the harvesting and the wheat sowing of the wheat.Second being, removing the paddy residue that has remained on the field is a time-consuming job. The time period from harvesting to sowing being very low and the labor is either very expensive or unavailable this leads to the only easiest option that the farmer has i.e. burning the residue right on the field after harvest so that the farmers can quickly prepare the land for the next sowing. This method it very cheap and takes less time that’s why farmers use this method. For this specific reason with the onset of winter stubble fires becomes rampant in north India. Stubble burning emissions contain toxic chemicals which causes respiratory problems as well as diseases. The paper aims to examine the environmental impacts associated with stubble burning over NCT of Delhi. The paper performs both qualitative and quantitative analysis on the statistical data pertaining to crop burning. The monthly variation for particulate matter (PM10 and PM2.5) and trace gases (NOx, CO, and SO2) during the stubble burning period (Sep-Nov) has also been studied and analyzed for 5 years (2015-19) and a noticeable increase in pollutant levels.
{"title":"Stubble Burning and its Impact on Air Quality in Delhi NCT: A Case Study","authors":"Geeta Singh, Amit Kumar, D. Vaid, P. Sharma","doi":"10.51201/JUSST/21/05223","DOIUrl":"https://doi.org/10.51201/JUSST/21/05223","url":null,"abstract":"Stubble burning is now considered to be one of the major activity affecting the air quality because it is one of the major source of aerosol as well as gaseous pollution. There are two main reasons for biomass burning, first one is that there is a very short window of time between the harvesting and the wheat sowing of the wheat.Second being, removing the paddy residue that has remained on the field is a time-consuming job. The time period from harvesting to sowing being very low and the labor is either very expensive or unavailable this leads to the only easiest option that the farmer has i.e. burning the residue right on the field after harvest so that the farmers can quickly prepare the land for the next sowing. This method it very cheap and takes less time that’s why farmers use this method. For this specific reason with the onset of winter stubble fires becomes rampant in north India. Stubble burning emissions contain toxic chemicals which causes respiratory problems as well as diseases. The paper aims to examine the environmental impacts associated with stubble burning over NCT of Delhi. The paper performs both qualitative and quantitative analysis on the statistical data pertaining to crop burning. The monthly variation for particulate matter (PM10 and PM2.5) and trace gases (NOx, CO, and SO2) during the stubble burning period (Sep-Nov) has also been studied and analyzed for 5 years (2015-19) and a noticeable increase in pollutant levels.","PeriodicalId":17520,"journal":{"name":"Journal of the University of Shanghai for Science and Technology","volume":"3 1","pages":"58-68"},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78898052","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}
Aditya Kulkarni, Manali Munot, Sai Salunkhe, Shubham Mhaske, Nilesh B. Korade
With the development in technologies right from serial to parallel computing, GPU, AI, and deep learning models a series of tools to process complex images have been developed. The main focus of this research is to compare various algorithms(pre-trained models) and their contributions to process complex images in terms of performance, accuracy, time, and their limitations. The pre-trained models we are using are CNN, R-CNN, R-FCN, and YOLO. These models are python language-based and use libraries like TensorFlow, OpenCV, and free image databases (Microsoft COCO and PAS-CAL VOC 2007/2012). These not only aim at object detection but also on building bounding boxes around appropriate locations. Thus, by this review, we get a better vision of these models and their performance and a good idea of which models are ideal for various situations.
{"title":"A Survey on Various Available Object Detection Models and Application In Automatic License Plate Detection","authors":"Aditya Kulkarni, Manali Munot, Sai Salunkhe, Shubham Mhaske, Nilesh B. Korade","doi":"10.51201/JUSST/21/05222","DOIUrl":"https://doi.org/10.51201/JUSST/21/05222","url":null,"abstract":"With the development in technologies right from serial to parallel computing, GPU, AI, and deep learning models a series of tools to process complex images have been developed. The main focus of this research is to compare various algorithms(pre-trained models) and their contributions to process complex images in terms of performance, accuracy, time, and their limitations. The pre-trained models we are using are CNN, R-CNN, R-FCN, and YOLO. These models are python language-based and use libraries like TensorFlow, OpenCV, and free image databases (Microsoft COCO and PAS-CAL VOC 2007/2012). These not only aim at object detection but also on building bounding boxes around appropriate locations. Thus, by this review, we get a better vision of these models and their performance and a good idea of which models are ideal for various situations.","PeriodicalId":17520,"journal":{"name":"Journal of the University of Shanghai for Science and Technology","volume":"2013 1","pages":"47-57"},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86273702","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}
U Dhanush, Prasannasai S Hulikatti, Raghavendra H Malager, S. Shreesha, P. Biswagar
Cloud Computing is used to share data, services and resources via a network but this system is vulnerable to cyber-attacks by an unauthorized person denying the user privacy and confidentiality. The exponential growth in Information technology especially in the field of Cloud Computing has seen a rise in security attacks such as Interruption, Interception, Modification, Fabrication making it absolutely necessary to enhance the cloud security as well as network security. To tackle the menace of security threats is to make use of the various encryption techniques and to ensure secure transmission of the data to ensure the user of his rights of Privacy, Confidentiality, Integrity, Authentication and access controls of data. This can be achieved by Cryptographic techniques. In the former implementation a new virtual instance is created and embedded with all the requested resources and allocated to the user where as in the later implementation the size of the allotted VM is being altered to account for the extra requested resource or to free the unused resource to increase efficiency. To achieve Secure file transfer between instances Hypervisor tool Virtual Box developed by Oracle Corporation is used. To interface with Hypervisor via Host CLI commands provided by the Virtual Box is used. Thus, developing a model that mimics the cloud environment in small scale using the laptop/desktop which enacts as a cloud with limited resource pool.
{"title":"A Secure File Transfer over Virtual Machine Instances using Hybrid Encryption Technique","authors":"U Dhanush, Prasannasai S Hulikatti, Raghavendra H Malager, S. Shreesha, P. Biswagar","doi":"10.51201/JUSST/21/05219","DOIUrl":"https://doi.org/10.51201/JUSST/21/05219","url":null,"abstract":"Cloud Computing is used to share data, services and resources via a network but this system is vulnerable to cyber-attacks by an unauthorized person denying the user privacy and confidentiality. The exponential growth in Information technology especially in the field of Cloud Computing has seen a rise in security attacks such as Interruption, Interception, Modification, Fabrication making it absolutely necessary to enhance the cloud security as well as network security. To tackle the menace of security threats is to make use of the various encryption techniques and to ensure secure transmission of the data to ensure the user of his rights of Privacy, Confidentiality, Integrity, Authentication and access controls of data. This can be achieved by Cryptographic techniques. In the former implementation a new virtual instance is created and embedded with all the requested resources and allocated to the user where as in the later implementation the size of the allotted VM is being altered to account for the extra requested resource or to free the unused resource to increase efficiency. To achieve Secure file transfer between instances Hypervisor tool Virtual Box developed by Oracle Corporation is used. To interface with Hypervisor via Host CLI commands provided by the Virtual Box is used. Thus, developing a model that mimics the cloud environment in small scale using the laptop/desktop which enacts as a cloud with limited resource pool.","PeriodicalId":17520,"journal":{"name":"Journal of the University of Shanghai for Science and Technology","volume":"37 1","pages":"77-84"},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86776047","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}
Geetashree Singh, Ayushi Jha, R. Kumari, Vishal Singh
The COVID-19 pandemics have affected every aspect of the human race and world economy. The disease has been contaminated in almost every part of India. A threat for poor standards induced premature mortality from cardiovascular disease and respiratory diseases. Amongst the huge reaching implications of the continuing COVID-19 outbreak, a significant enhancement in air quality was detected all around the globe after lockdowns enforced in several cities in India. The lockdown influenced the environment’s pollution level and improved air quality quickly due to very few human activities. The present work scientifically analyses the air pollutants (PM2.5, PM10, NO2 and SO2) with meteorological parameters in the golden quadrilateral cities. The purpose of this paper is to review the analysis of air quality of golden quadrilateral cities (Delhi, Kolkata, Chennai and Mumbai). Data of air quality parameters are collectively taken from different locations from different regions of Delhi, Kolkata, Chennai and Mumbai before lockdown and during lockdown and compared the data of both the periods. Comparison pre-lockdown and 2019 with respect lockdown and 2020 respectively shows huge reduction in amounts of pollutants. Our objective is to find the implication of different lockdown measures on air quality levels in Delhi, Kolkata, Chennai and Mumbai particularly this investigation is focused on PM2.5, PM10, NO2, SO2 which is directly transmitted by human action and formed through chemical reaction in the atmosphere as well as quantify the short range and long-range health impact.
{"title":"Comparative study on air quality status in Golden Quadrilateral cities before and during the COVID-19 lock down period.","authors":"Geetashree Singh, Ayushi Jha, R. Kumari, Vishal Singh","doi":"10.51201/JUSST/21/05225","DOIUrl":"https://doi.org/10.51201/JUSST/21/05225","url":null,"abstract":"The COVID-19 pandemics have affected every aspect of the human race and world economy. The disease has been contaminated in almost every part of India. A threat for poor standards induced premature mortality from cardiovascular disease and respiratory diseases. Amongst the huge reaching implications of the continuing COVID-19 outbreak, a significant enhancement in air quality was detected all around the globe after lockdowns enforced in several cities in India. The lockdown influenced the environment’s pollution level and improved air quality quickly due to very few human activities. The present work scientifically analyses the air pollutants (PM2.5, PM10, NO2 and SO2) with meteorological parameters in the golden quadrilateral cities. The purpose of this paper is to review the analysis of air quality of golden quadrilateral cities (Delhi, Kolkata, Chennai and Mumbai). Data of air quality parameters are collectively taken from different locations from different regions of Delhi, Kolkata, Chennai and Mumbai before lockdown and during lockdown and compared the data of both the periods. Comparison pre-lockdown and 2019 with respect lockdown and 2020 respectively shows huge reduction in amounts of pollutants. Our objective is to find the implication of different lockdown measures on air quality levels in Delhi, Kolkata, Chennai and Mumbai particularly this investigation is focused on PM2.5, PM10, NO2, SO2 which is directly transmitted by human action and formed through chemical reaction in the atmosphere as well as quantify the short range and long-range health impact.","PeriodicalId":17520,"journal":{"name":"Journal of the University of Shanghai for Science and Technology","volume":"39 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74395496","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}
Abstract: An emotionally intelligent chatbot system aims to make an effective conversation between humans and machines in as natural and interactive manner as possible. The chatbot agent has pre-embedded knowledge base to identify the sentences, intents, entities and context of the input query to be precise for making a valid, predictable decision itself as a self -generated response to answer the query. The present technical project consists of developing an intelligent system for college enquiry purposes using a web-based chatbot agent, through machine learning, query processing and sentiment and emotion classification system to analyze the sentiment of the visitor towards the college. Emotionally Intelligent College Enquiry Chatbot System is nothing but chatbot to understand the user queries and respond to it during a conversation. Chatbot can actively help human to involve in a digital automated conversation with a machine or a system with effective. In the following proposed system, feature extraction and data cleaning techniques are applied on the dataset and classifiers such as multinomial naive bayes, logistic regression and k nearest neighbors are used to train the model. The classifier with highest accuracy is further used for emotion classification of users.
{"title":"Emotionally Intelligent Chatbot","authors":"Shubham Kokane, Shreeyash Khalate, Shreya Newale, Sakshi Dubewar, Jameer Kotwal","doi":"10.51201/JUSST/21/05215","DOIUrl":"https://doi.org/10.51201/JUSST/21/05215","url":null,"abstract":"Abstract: An emotionally intelligent chatbot system aims to make an effective conversation between humans and machines in as natural and interactive manner as possible. The chatbot agent has pre-embedded knowledge base to identify the sentences, intents, entities and context of the input query to be precise for making a valid, predictable decision itself as a self -generated response to answer the query. The present technical project consists of developing an intelligent system for college enquiry purposes using a web-based chatbot agent, through machine learning, query processing and sentiment and emotion classification system to analyze the sentiment of the visitor towards the college. Emotionally Intelligent College Enquiry Chatbot System is nothing but chatbot to understand the user queries and respond to it during a conversation. Chatbot can actively help human to involve in a digital automated conversation with a machine or a system with effective. In the following proposed system, feature extraction and data cleaning techniques are applied on the dataset and classifiers such as multinomial naive bayes, logistic regression and k nearest neighbors are used to train the model. The classifier with highest accuracy is further used for emotion classification of users.","PeriodicalId":17520,"journal":{"name":"Journal of the University of Shanghai for Science and Technology","volume":"11 1","pages":"69-76"},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87575235","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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