Arpita Howlader - Academia.edu (original) (raw)
Papers by Arpita Howlader
8th International Conference on Electrical and Computer Engineering, 2014
The complexity of data requirement increasing day by day; therefore minimization of schema become... more The complexity of data requirement increasing day by day; therefore minimization of schema becomes an important role for equi distribution or equalization of two or more problems. Schema complexity is measured by transmitting schema to a graph with weight or weighted graph. Selected special fundamentals from schema for weight the schema graph are described as major part. Minimization of schema ensures easy to measure the schema complexity. Some consideration for this approaches are normalization and de-normalization. We also find the effect of normalization and de-normalization on minimization of schema of real life data model as well as synthetic data model. The purpose of this research is to examine the effectiveness of schema complexity based on schema minimization with weighted graph.
Purpose: Globally, there is an obvious concern about the fact that the evolving 2019-nCoV coronav... more Purpose: Globally, there is an obvious concern about the fact that the evolving 2019-nCoV coronavirus is a worldwide public health threat. The appearance in China at the end of 2019 of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2; previously provisionally labeled as 2019 novel coronavirus or 2019-nCoV) disease (COVID-19) caused a major global outbreak and right now is a major community health issue. As of 8 March 2020, World Health Organization (WHO) data showed that more than 105 500 confirmed cases were reported in over 100 countries/regions, with > 75% of cases being detected in China and >24% of cases detected globally. COVID-19 outbreak is evolving so rapidly; therefore, the available epidemiological data are essential to direct strategies for situational awareness and intervention. Methods: This article will present a visual exploratory data analysis (V-EDA) approach to collect and analyze COVID-19 data on epidemiological outbreaks. Various open data sourc...
2019 International Conference on Sustainable Technologies for Industry 4.0 (STI), 2019
In the era of fourth industrial revolution (i.e., industry 4.0), IoT based smart networking uses ... more In the era of fourth industrial revolution (i.e., industry 4.0), IoT based smart networking uses sustainable technologies for smart cities and smart home. To contribute in such industrial development, in this paper, a Distributed multi-radio multi-channel directional (DM2D)-MAC protocol is introduced for IoT-based wireless networks. Directional transmission is responsible for higher antenna gain, reduced interference and spatial reuse with higher data rates. However, such protocol experiences directional hidden terminal problem, deafness and head-of-line blocking problem irrespective of number of channels (i.e., single and multi-channels). As of now, lots of techniques such as synchronization, busy-tone, cooperation among nodes have been used to address those mentioned issues by using a separate data-channel as Common Control Channel (CCC). As a result, due to bottleneck in CCC overall throughput drastically falls. However, we have designed DM2D-MAC protocol as an asynchronous direc...
In the construction of the wireless sensor network; MAC protocols are considered as a foremost el... more In the construction of the wireless sensor network; MAC protocols are considered as a foremost element of IoT based devices that are used for data transmission and greater scalability with simple executions. Furthermore, most of the researches on WSN conduct directional antenna to provide substantial progresses in communication. However, numerous types of problems such as deafness, deadlock, and head of line blocking problems irrespective of a number of channels are introducing inherently in directional MAC protocols. Some proposed asynchronous multichannel MAC protocol is based on RIT or RI mechanisms that escape those prevalent problems. Using a multichannel directional MAC with RP is proposed in this article that referred to as Receiver Pivotal DMAC (RP-DMAC). We propose RP-DMAC as a state-of-the-art protocol for IoT based WSN to separate deafness and other problem by using directional RTR (Ready to Receive) packet, data channel, and guard band. As like most of the DMAC protocols...
Perception towards sexual Harassment is, at times, intricate and agitated, which beget us feel ma... more Perception towards sexual Harassment is, at times, intricate and agitated, which beget us feel malicious as it is contiguity on societies' vital ethics. In precise, any culture or religion in our communities and also any personal interrelations can not be overlooked. The number of victims of mass atrocities is increasing day by day, in which many of the cases are inexpressible. In current ear, the emergence of smartphones has rehabilitated the demarcation of mobile phones, because it is no longer just a communication tool, but also an essential part of the people's daily life as well as security. The goal of our study is twofold: firstto comprehend the utility of elimination of Sexual Harassment through mobile devices, secondto produce a new security application, based on the findings of this study, which offers direct communication between Victim and helpers.
The next big step in combating the coronavirus disease 2019 (COVID-19) pandemic will be gaining w... more The next big step in combating the coronavirus disease 2019 (COVID-19) pandemic will be gaining widespread acceptance of a vaccination campaign for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), but achieving high uptake need proper understandings. Many health professionals, researchers, statisticians, and programmers to track the viruses spread in different parts of the world have used various methods. However, the proliferation of vaccines produced by talented scientists around the world has sparked a strong desire to extract meaningful insights from available data. Until now, several vaccines against coronavirus disease (COVID-19) have been approved and are being distributed worldwide in various regions. This study aims to report the detailed data analysis and result-oriented storytelling of the COVID-19 vaccination program of different countries across the globe. To analyze the vaccination trend globally this research utilized two different open datasets provided ...
Advances in Intelligent Systems and Computing
SN Comprehensive Clinical Medicine
Globally, there is an obvious concern about the fact that the evolving 2019-nCoV coronavirus is a... more Globally, there is an obvious concern about the fact that the evolving 2019-nCoV coronavirus is a worldwide public health threat. The appearance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in China at the end of 2019 triggered a major global epidemic, which is now a major community health issue. As of August 13, 2020, according to the Institute of Epidemiology, Disease Control and Research (IEDCR), Bangladesh has reported 269,095 confirmed cases between 8 March and 13 August 2020, with > 1.30% of mortality rate and > 57% of recovery rate. COVID-19 outbreak is evolving so rapidly in Bangladesh; therefore, the availability of epidemiological data and its sensible analysis are essential to direct strategies for situational awareness and intervention. This article presents an exploratory data analysis approach to collect and analyze COVID-19 data on epidemiological outbreaks based on the first publicly available COVID-19 Daily Dataset of Bangladesh. Various publicly open data sources on the outbreak of COVID-19 provided by the IEDCR, World Health Organization (WHO), Directorate General of Health Services (DGHS), and Ministry of Health and Family Welfare (MHFW) of Bangladesh have been used in this research. Visual exploratory data analysis (V-EDA) techniques have been followed in this research to understand the epidemiological characteristics of COVID-19 outbreak in different districts of Bangladesh between 8 March 2020 and 13 August 2020 and these findings were compared with those of other countries. In all, this is extremely important to promptly spread information to understand the risks of this pandemic and begin containment activities in the country.
Globally, there is an obvious concern about the fact that the evolving 2019-nCoV coronavirus is a... more Globally, there is an obvious concern about the fact that the evolving 2019-nCoV coronavirus is a worldwide public health threat. The appearance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in China at the end of 2019 triggered a major global epidemic, which is now a major community health issue. As of April 17, 2020, according to Institute of Epidemiology, Disease Control and Research (IEDCR) Bangladesh has reported 1838 confirmed cases in between 8 March to 17 April 2020, with > 4.08% of mortality rate and >3.15% of recovery rate. COVID-19 outbreak is evolving so rapidly in Bangladesh; therefore, the availability of epidemiological data and its sensible analysis are essential to direct strategies for situational awareness and intervention. This article presents an exploratory data analysis approach to collect and analyze COVID-19 data on epidemiological outbreaks based on first publicly available COVID-19 Daily Dataset of Bangladesh. Various publicly open ...
A novel coronavirus causing the severe and fatal respiratory syndrome was identified in China, is... more A novel coronavirus causing the severe and fatal respiratory syndrome was identified in China, is now producing outbreaks in more than two hundred countries around the world, and became pandemic by the time. In this article, a modified version of the well known mathematical epidemic model Susceptible (S)- Infected (I)- Recovered (R) is used to analyze the epidemic's course of COVID-19 in eight different countries of the South Asian Association for Regional Cooperation (SAARC). To achieve this goal, the parameters of the SIR model are identified by using publicly available data for the corresponding countries: Afghanistan, Bangladesh, Bhutan, India, the Maldives, Nepal, Pakistan and Sri Lanka. Based on the prediction model we estimated the epidemic trend of COVID-19 outbreak in SAARC countries for 20 days, 90 days, and 180 days respectively. An SML (short-mid-long) term prediction model has been designed to understand the early dynamics of COVID-19 Epidemic in the south-east Asia...
A novel coronavirus causing the severe and fatal respiratory syndrome was identified in China, is... more A novel coronavirus causing the severe and fatal respiratory syndrome was identified in China, is now producing outbreaks in more than two hundred countries around the world, and became pandemic by the time. In this article, a modified version of the well known mathematical epidemic model Susceptible (S)- Infected (I)- Recovered (R) is used to analyze the epidemic's course of COVID-19 in eight different countries of the South Asian Association for Regional Cooperation (SAARC). To achieve this goal, the parameters of the SIR model are identified by using publicly available data for the corresponding countries: Afghanistan, Bangladesh, Bhutan, India, the Maldives, Nepal, Pakistan and Sri Lanka. Based on the prediction model we estimated the epidemic trend of COVID-19 outbreak in SAARC countries for 20 days, 90 days, and 180 days respectively. An SML (short-mid-long) term prediction model has been designed to understand the early dynamics of COVID-19 Epidemic in the south-east Asia...
Journal of Medical Virology
There is an obvious concern globally regarding the fact about the emerging coronavirus 2019 novel... more There is an obvious concern globally regarding the fact about the emerging coronavirus 2019 novel coronavirus (2019-nCoV) as a worldwide public health threat. As the outbreak of COVID-19 causes by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) progresses within China and beyond, rapidly available epidemiological data are needed to guide strategies for situational awareness and intervention. The recent outbreak of pneumonia in Wuhan, China, caused by the SARS-CoV-2 emphasizes the importance of analyzing the epidemiological data of this novel virus and predicting their risks of infecting people all around the globe. In this study, we present an effort to compile and analyze epidemiological outbreak information on COVID-19 based on the several open datasets on 2019-nCoV provided by the Johns Hopkins University, World Health Organization, Chinese Center for Disease Control and Prevention, National Health Commission, and DXY. An exploratory data analysis with visualizations has been made to understand the number of different cases reported (confirmed, death, and recovered) in different provinces of China and outside of China. Overall, at the outset of an outbreak like this, it is highly important to readily provide information to begin the evaluation necessary to understand the risks and begin containment activities.
8th International Conference on Electrical and Computer Engineering, 2014
The complexity of data requirement increasing day by day; therefore minimization of schema become... more The complexity of data requirement increasing day by day; therefore minimization of schema becomes an important role for equi distribution or equalization of two or more problems. Schema complexity is measured by transmitting schema to a graph with weight or weighted graph. Selected special fundamentals from schema for weight the schema graph are described as major part. Minimization of schema ensures easy to measure the schema complexity. Some consideration for this approaches are normalization and de-normalization. We also find the effect of normalization and de-normalization on minimization of schema of real life data model as well as synthetic data model. The purpose of this research is to examine the effectiveness of schema complexity based on schema minimization with weighted graph.
Purpose: Globally, there is an obvious concern about the fact that the evolving 2019-nCoV coronav... more Purpose: Globally, there is an obvious concern about the fact that the evolving 2019-nCoV coronavirus is a worldwide public health threat. The appearance in China at the end of 2019 of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2; previously provisionally labeled as 2019 novel coronavirus or 2019-nCoV) disease (COVID-19) caused a major global outbreak and right now is a major community health issue. As of 8 March 2020, World Health Organization (WHO) data showed that more than 105 500 confirmed cases were reported in over 100 countries/regions, with > 75% of cases being detected in China and >24% of cases detected globally. COVID-19 outbreak is evolving so rapidly; therefore, the available epidemiological data are essential to direct strategies for situational awareness and intervention. Methods: This article will present a visual exploratory data analysis (V-EDA) approach to collect and analyze COVID-19 data on epidemiological outbreaks. Various open data sourc...
2019 International Conference on Sustainable Technologies for Industry 4.0 (STI), 2019
In the era of fourth industrial revolution (i.e., industry 4.0), IoT based smart networking uses ... more In the era of fourth industrial revolution (i.e., industry 4.0), IoT based smart networking uses sustainable technologies for smart cities and smart home. To contribute in such industrial development, in this paper, a Distributed multi-radio multi-channel directional (DM2D)-MAC protocol is introduced for IoT-based wireless networks. Directional transmission is responsible for higher antenna gain, reduced interference and spatial reuse with higher data rates. However, such protocol experiences directional hidden terminal problem, deafness and head-of-line blocking problem irrespective of number of channels (i.e., single and multi-channels). As of now, lots of techniques such as synchronization, busy-tone, cooperation among nodes have been used to address those mentioned issues by using a separate data-channel as Common Control Channel (CCC). As a result, due to bottleneck in CCC overall throughput drastically falls. However, we have designed DM2D-MAC protocol as an asynchronous direc...
In the construction of the wireless sensor network; MAC protocols are considered as a foremost el... more In the construction of the wireless sensor network; MAC protocols are considered as a foremost element of IoT based devices that are used for data transmission and greater scalability with simple executions. Furthermore, most of the researches on WSN conduct directional antenna to provide substantial progresses in communication. However, numerous types of problems such as deafness, deadlock, and head of line blocking problems irrespective of a number of channels are introducing inherently in directional MAC protocols. Some proposed asynchronous multichannel MAC protocol is based on RIT or RI mechanisms that escape those prevalent problems. Using a multichannel directional MAC with RP is proposed in this article that referred to as Receiver Pivotal DMAC (RP-DMAC). We propose RP-DMAC as a state-of-the-art protocol for IoT based WSN to separate deafness and other problem by using directional RTR (Ready to Receive) packet, data channel, and guard band. As like most of the DMAC protocols...
Perception towards sexual Harassment is, at times, intricate and agitated, which beget us feel ma... more Perception towards sexual Harassment is, at times, intricate and agitated, which beget us feel malicious as it is contiguity on societies' vital ethics. In precise, any culture or religion in our communities and also any personal interrelations can not be overlooked. The number of victims of mass atrocities is increasing day by day, in which many of the cases are inexpressible. In current ear, the emergence of smartphones has rehabilitated the demarcation of mobile phones, because it is no longer just a communication tool, but also an essential part of the people's daily life as well as security. The goal of our study is twofold: firstto comprehend the utility of elimination of Sexual Harassment through mobile devices, secondto produce a new security application, based on the findings of this study, which offers direct communication between Victim and helpers.
The next big step in combating the coronavirus disease 2019 (COVID-19) pandemic will be gaining w... more The next big step in combating the coronavirus disease 2019 (COVID-19) pandemic will be gaining widespread acceptance of a vaccination campaign for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), but achieving high uptake need proper understandings. Many health professionals, researchers, statisticians, and programmers to track the viruses spread in different parts of the world have used various methods. However, the proliferation of vaccines produced by talented scientists around the world has sparked a strong desire to extract meaningful insights from available data. Until now, several vaccines against coronavirus disease (COVID-19) have been approved and are being distributed worldwide in various regions. This study aims to report the detailed data analysis and result-oriented storytelling of the COVID-19 vaccination program of different countries across the globe. To analyze the vaccination trend globally this research utilized two different open datasets provided ...
Advances in Intelligent Systems and Computing
SN Comprehensive Clinical Medicine
Globally, there is an obvious concern about the fact that the evolving 2019-nCoV coronavirus is a... more Globally, there is an obvious concern about the fact that the evolving 2019-nCoV coronavirus is a worldwide public health threat. The appearance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in China at the end of 2019 triggered a major global epidemic, which is now a major community health issue. As of August 13, 2020, according to the Institute of Epidemiology, Disease Control and Research (IEDCR), Bangladesh has reported 269,095 confirmed cases between 8 March and 13 August 2020, with > 1.30% of mortality rate and > 57% of recovery rate. COVID-19 outbreak is evolving so rapidly in Bangladesh; therefore, the availability of epidemiological data and its sensible analysis are essential to direct strategies for situational awareness and intervention. This article presents an exploratory data analysis approach to collect and analyze COVID-19 data on epidemiological outbreaks based on the first publicly available COVID-19 Daily Dataset of Bangladesh. Various publicly open data sources on the outbreak of COVID-19 provided by the IEDCR, World Health Organization (WHO), Directorate General of Health Services (DGHS), and Ministry of Health and Family Welfare (MHFW) of Bangladesh have been used in this research. Visual exploratory data analysis (V-EDA) techniques have been followed in this research to understand the epidemiological characteristics of COVID-19 outbreak in different districts of Bangladesh between 8 March 2020 and 13 August 2020 and these findings were compared with those of other countries. In all, this is extremely important to promptly spread information to understand the risks of this pandemic and begin containment activities in the country.
Globally, there is an obvious concern about the fact that the evolving 2019-nCoV coronavirus is a... more Globally, there is an obvious concern about the fact that the evolving 2019-nCoV coronavirus is a worldwide public health threat. The appearance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in China at the end of 2019 triggered a major global epidemic, which is now a major community health issue. As of April 17, 2020, according to Institute of Epidemiology, Disease Control and Research (IEDCR) Bangladesh has reported 1838 confirmed cases in between 8 March to 17 April 2020, with > 4.08% of mortality rate and >3.15% of recovery rate. COVID-19 outbreak is evolving so rapidly in Bangladesh; therefore, the availability of epidemiological data and its sensible analysis are essential to direct strategies for situational awareness and intervention. This article presents an exploratory data analysis approach to collect and analyze COVID-19 data on epidemiological outbreaks based on first publicly available COVID-19 Daily Dataset of Bangladesh. Various publicly open ...
A novel coronavirus causing the severe and fatal respiratory syndrome was identified in China, is... more A novel coronavirus causing the severe and fatal respiratory syndrome was identified in China, is now producing outbreaks in more than two hundred countries around the world, and became pandemic by the time. In this article, a modified version of the well known mathematical epidemic model Susceptible (S)- Infected (I)- Recovered (R) is used to analyze the epidemic's course of COVID-19 in eight different countries of the South Asian Association for Regional Cooperation (SAARC). To achieve this goal, the parameters of the SIR model are identified by using publicly available data for the corresponding countries: Afghanistan, Bangladesh, Bhutan, India, the Maldives, Nepal, Pakistan and Sri Lanka. Based on the prediction model we estimated the epidemic trend of COVID-19 outbreak in SAARC countries for 20 days, 90 days, and 180 days respectively. An SML (short-mid-long) term prediction model has been designed to understand the early dynamics of COVID-19 Epidemic in the south-east Asia...
A novel coronavirus causing the severe and fatal respiratory syndrome was identified in China, is... more A novel coronavirus causing the severe and fatal respiratory syndrome was identified in China, is now producing outbreaks in more than two hundred countries around the world, and became pandemic by the time. In this article, a modified version of the well known mathematical epidemic model Susceptible (S)- Infected (I)- Recovered (R) is used to analyze the epidemic's course of COVID-19 in eight different countries of the South Asian Association for Regional Cooperation (SAARC). To achieve this goal, the parameters of the SIR model are identified by using publicly available data for the corresponding countries: Afghanistan, Bangladesh, Bhutan, India, the Maldives, Nepal, Pakistan and Sri Lanka. Based on the prediction model we estimated the epidemic trend of COVID-19 outbreak in SAARC countries for 20 days, 90 days, and 180 days respectively. An SML (short-mid-long) term prediction model has been designed to understand the early dynamics of COVID-19 Epidemic in the south-east Asia...
Journal of Medical Virology
There is an obvious concern globally regarding the fact about the emerging coronavirus 2019 novel... more There is an obvious concern globally regarding the fact about the emerging coronavirus 2019 novel coronavirus (2019-nCoV) as a worldwide public health threat. As the outbreak of COVID-19 causes by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) progresses within China and beyond, rapidly available epidemiological data are needed to guide strategies for situational awareness and intervention. The recent outbreak of pneumonia in Wuhan, China, caused by the SARS-CoV-2 emphasizes the importance of analyzing the epidemiological data of this novel virus and predicting their risks of infecting people all around the globe. In this study, we present an effort to compile and analyze epidemiological outbreak information on COVID-19 based on the several open datasets on 2019-nCoV provided by the Johns Hopkins University, World Health Organization, Chinese Center for Disease Control and Prevention, National Health Commission, and DXY. An exploratory data analysis with visualizations has been made to understand the number of different cases reported (confirmed, death, and recovered) in different provinces of China and outside of China. Overall, at the outset of an outbreak like this, it is highly important to readily provide information to begin the evaluation necessary to understand the risks and begin containment activities.