Due to resource constraints and the diverse nature of the devices involved, energy efficiency and... more Due to resource constraints and the diverse nature of the devices involved, energy efficiency and scalability enhancement are important challenges in the Internet of Things (IoT) ecosystem. It is difficult to manage the edge resources in a consistent way that promotes cooperation and sharing of resources across the devices because of the heterogeneity of the Internet of Things devices and the dynamic nature of the surroundings in which edge computing takes place. In this research, we offer Intelligent techniques for resource optimization for Internet of Things devices. This is a full-stack system architecture to support across heterogeneous Internet of Things devices that have limited resources. The paradigm that is being suggested is made up of several edge servers, and Internet of Things (IoT) devices have the qualities of being heterogeneity-compatible, high performing, and intelligently adaptable. In order to do this, a clustered environment is generated in heterogeneous Interne...
This research aims to analyze people's perceptions about the potential risks associated with the ... more This research aims to analyze people's perceptions about the potential risks associated with the presence of genetically modified organisms (GMOs) in food products. We formulated research questions and hypotheses based on parameters, including age, gender, state of residence, and more to analyze these perceptions. We conducted an online nationwide survey across the United States and recruited participants from the general population to understand their perceptions about risks for GMOs and GM foods. We formulated a set of questions regarding the effects of GMOs on food products (including both the pre-and post-study questions) and investigated the changes in people's perceptions after reading selected news releases about GMOs. The survey responses were collected and categorized according to the research parameters and statistical assessments were conducted to test the hypotheses. Additionally, we introduced a novel approach to analyze the responses by creating a mind-map framework for both the pre-and post-study responses. We found that people residing in the southern region of the United States responded more positively toward GMOs when compared to individuals residing in the northeast, west and mid-west regions. We also deduced that people's perceptions about GMOs were not significantly different from each other whether they resided in states with Republican or Democrat/non-partisan party affiliations. Further, we observed that the male participants responded more negatively compared to the female participants across the nation. We compared the results obtained from respondents in the general population to those from a group of Computer Science students at North Dakota State University who completed the same survey. We found that students considered GMOs less risky when compared to the general population. A third research study compared participants from the general population to a group of iv participants who were recruited from the general population. The second group didn't read the news releases that separated the survey's pre-and post-study questions. We observed that the news releases impacted the participants from the first group and, eventually, changed the individuals' perceptions about GMOs when compared to the participants from the second group who possessed no or fewer perception changes.
—Communication and control in a fully realized Smart Electrical Grid involves heterogeneous wired... more —Communication and control in a fully realized Smart Electrical Grid involves heterogeneous wired and wireless networks working cooperatively, supporting data streams among many types of sensors. We address the self-healing problem, in which the goal is to intelligently automate corrective actions when a disruption to Grid operation occurs. Such actions include redirecting electricity flows along alternative pathways, and selectively tripping breakers. A primary objective of a self-healing method is to prevent cascading failures. Motivated by the need for corrective actions in self-healing to produce efficient and reliable grid operations, we formulated and developed an optimization model that generates sets of high performance electricity flows in an arbitrary Grid configuration. The model is a Capacitated Transshipment Problem (CTP) that we solve using a very fast and customized algorithm. The versatility of the model in supporting multiple performance metrics and the speed achieved in generating sets of optimal electricity flows makes the model useful in evaluating self-healing strategies.
Anecdotal evidence suggests that gender differences play a role in the perceptions of individuals... more Anecdotal evidence suggests that gender differences play a role in the perceptions of individuals toward risks associated with food products. In this study, we obtained data that drive analyses of gender differences in perceptions toward biotechnology, specifically genetically modified organisms (GMOs). Using survey-based methods, we statistically evaluate differences of opinion both before and after educational pieces concerning GMOs were provided to the subjects. Mind maps were developed in a network format to illustrate and provide a framework for some of the analyses. The networks were configured using the Network Overview Discovery and Exploration for Excel (NodeXL) plugin. Statistical work was conducted using the Statistical Analysis System (SAS). As an alternative source of data, Twitter messages were captured using the Twitter streaming API. The likely gender of the author of each Twitter posting was ascertained through analyses of author names and the text of the message. Basic analytics on the Twitter feeds were carried out on the hypotheses of interest. The study reveals gender differences in risk perceptions, and less than complete agreement between the survey and the social media based studies.
COVID-19 is now becoming a global issue and declared as pandemic by world health organization. Th... more COVID-19 is now becoming a global issue and declared as pandemic by world health organization. This virus spread out from China to entire world. This paper performed a descriptive analysis of COVID-19 in special reference of India. Different attributes such as age, gender, travel history, communication type and current status are analyzed. Till now it can be stated from the study that age is not a significant factor that affect a person to be captured by this disease, also age attribute is normally distributed in current dataset. A significant relationship is found between gender (male and female) and Transmission Type (imported from other country or communicated from local) of the patients.
Journal of Discrete Mathematical Sciences and Cryptography
Predicting the probability of CORONA virus outbreak has been studied in recent days, but the publ... more Predicting the probability of CORONA virus outbreak has been studied in recent days, but the published literature seldom contains multiple model comparisons or predictive analysis of uncertainty. Time series parameters are the core factors influencing infectious diseases such as severe acute respiratory syndrome ( SARS) and influenza. As a global pandemic is imminent, the prediction of real-time transmission of COVID-19 is crucial. The objective of this paper is to produce a real-time forecasts using the SVM model. The purpose of this study is to investigate the Corona Virus Disease 2019 (COVID-19) prediction of confirmed, deceased and recovered cases. This prediction will help to plan resources, determine government policy, and provide survivors with immunity passports, and use the same plasma for care. In this analysis, data including attributes such as location wise confirmed, deceased, recovered COVID-19, longitude and latitude were collected from January 22, 2020 to April 25, 2020 worldwide. Support Vector Machine was used to explore the impact on identification, deceased, and recovery.
Abstract This paper presents reliability analysis and perceptions of genetically modified organis... more Abstract This paper presents reliability analysis and perceptions of genetically modified organisms (GMOs) using Cronbach’s alpha and the study involved in carrying out pre- and post-survey instrument analysis. The outcome has been validated and found acceptable for internal consistency. Perceptions have been tabulated and changes in them have been observed.
Journal of Discrete Mathematical Sciences and Cryptography
Abstract The general solutions of the functional equation in which f, g, h are real-valued mappin... more Abstract The general solutions of the functional equation in which f, g, h are real-valued mappings each with domain I = [0,1]; (p1 , … , pn ) ∈ Гn,(q1 , … , qm ) ∈ Гm; n ≥ 3, m ≥ 3 being fixed integers; α > 0, α ≠ 1, α ∈ ℝ; have been obtained. Some of the solutions are related to entropies of degree α; entropies of degree (α, β); and to Gini-Simpson index.
Software Engineering and Applications/ 831: Advances in Power and Energy Systems, 2015
Understanding of the perceptions of consumers toward food products is a highly challenging task. ... more Understanding of the perceptions of consumers toward food products is a highly challenging task. The presence of biotechnology in food products, such as genetic modifications, gives rise to differing views on its benefits and risks. We report analyses of survey data aimed at carefully understanding the risk perceptions of consumers toward food products that involve genetically modified organisms (GMOs). We report results from an empirical study that investigates the changes in consumer perceptions when exposed to informative material concerning GMOs in food products. A survey instrument was designed using Qualtrics API to formulate a set of questions regarding GMOs (including both the pre and post study questionnaire) and all the participants were recruited via Amazon Mechanical Turk API. The responses were collected and thoroughly analyzed by creating relevant mind maps using Network Overview Discovery and Exploration for Excel (NodeXL) plugin. The analyzed results were further validated by conducting appropriate statistical analyses using Statistical Analysis System (SAS).
This paper studies the patterns of the already known parameters of the well-known Hamming codes. ... more This paper studies the patterns of the already known parameters of the well-known Hamming codes. In fact, we explore the difference equations that these parameters satisfy. Further, the length n i and the number of information digits k i of the corresponding codes are also shown to be linearly independent solutions of an r-th order linear non-homogeneous difference equation.
International Journal of Artificial Intelligence and Soft Computing, 2015
Artificial bee colony ABC optimisation algorithm is relatively a recent, fast and easy to impleme... more Artificial bee colony ABC optimisation algorithm is relatively a recent, fast and easy to implement population-based meta heuristic for optimisation. ABC has been proved a competitive algorithm with some popular swarm intelligence-based algorithms such as particle swarm optimisation, firefly algorithm and ant colony optimisation. However, it is observed that ABC algorithm is better at exploration but poor at exploitation. Due to large step size, the solution search equation of ABC has enough chance to skip the optimum. In order to balance this, ABC is hybridised with a local search called as classical unidimensional search CUS. The proposed algorithm is named as hybridised ABC HABC. In HABC, best solution of each iteration is further exploited in both its positive and negative direction in a predefined range which enhances the exploitation in ABC. The experiments are carried out on 15 test problems of different complexities and dimensions in order to prove the efficiency of proposed algorithm and compared with ABC. The results shows that hybridisation of CUS with ABC improves the performance of ABC.
Due to resource constraints and the diverse nature of the devices involved, energy efficiency and... more Due to resource constraints and the diverse nature of the devices involved, energy efficiency and scalability enhancement are important challenges in the Internet of Things (IoT) ecosystem. It is difficult to manage the edge resources in a consistent way that promotes cooperation and sharing of resources across the devices because of the heterogeneity of the Internet of Things devices and the dynamic nature of the surroundings in which edge computing takes place. In this research, we offer Intelligent techniques for resource optimization for Internet of Things devices. This is a full-stack system architecture to support across heterogeneous Internet of Things devices that have limited resources. The paradigm that is being suggested is made up of several edge servers, and Internet of Things (IoT) devices have the qualities of being heterogeneity-compatible, high performing, and intelligently adaptable. In order to do this, a clustered environment is generated in heterogeneous Interne...
This research aims to analyze people's perceptions about the potential risks associated with the ... more This research aims to analyze people's perceptions about the potential risks associated with the presence of genetically modified organisms (GMOs) in food products. We formulated research questions and hypotheses based on parameters, including age, gender, state of residence, and more to analyze these perceptions. We conducted an online nationwide survey across the United States and recruited participants from the general population to understand their perceptions about risks for GMOs and GM foods. We formulated a set of questions regarding the effects of GMOs on food products (including both the pre-and post-study questions) and investigated the changes in people's perceptions after reading selected news releases about GMOs. The survey responses were collected and categorized according to the research parameters and statistical assessments were conducted to test the hypotheses. Additionally, we introduced a novel approach to analyze the responses by creating a mind-map framework for both the pre-and post-study responses. We found that people residing in the southern region of the United States responded more positively toward GMOs when compared to individuals residing in the northeast, west and mid-west regions. We also deduced that people's perceptions about GMOs were not significantly different from each other whether they resided in states with Republican or Democrat/non-partisan party affiliations. Further, we observed that the male participants responded more negatively compared to the female participants across the nation. We compared the results obtained from respondents in the general population to those from a group of Computer Science students at North Dakota State University who completed the same survey. We found that students considered GMOs less risky when compared to the general population. A third research study compared participants from the general population to a group of iv participants who were recruited from the general population. The second group didn't read the news releases that separated the survey's pre-and post-study questions. We observed that the news releases impacted the participants from the first group and, eventually, changed the individuals' perceptions about GMOs when compared to the participants from the second group who possessed no or fewer perception changes.
—Communication and control in a fully realized Smart Electrical Grid involves heterogeneous wired... more —Communication and control in a fully realized Smart Electrical Grid involves heterogeneous wired and wireless networks working cooperatively, supporting data streams among many types of sensors. We address the self-healing problem, in which the goal is to intelligently automate corrective actions when a disruption to Grid operation occurs. Such actions include redirecting electricity flows along alternative pathways, and selectively tripping breakers. A primary objective of a self-healing method is to prevent cascading failures. Motivated by the need for corrective actions in self-healing to produce efficient and reliable grid operations, we formulated and developed an optimization model that generates sets of high performance electricity flows in an arbitrary Grid configuration. The model is a Capacitated Transshipment Problem (CTP) that we solve using a very fast and customized algorithm. The versatility of the model in supporting multiple performance metrics and the speed achieved in generating sets of optimal electricity flows makes the model useful in evaluating self-healing strategies.
Anecdotal evidence suggests that gender differences play a role in the perceptions of individuals... more Anecdotal evidence suggests that gender differences play a role in the perceptions of individuals toward risks associated with food products. In this study, we obtained data that drive analyses of gender differences in perceptions toward biotechnology, specifically genetically modified organisms (GMOs). Using survey-based methods, we statistically evaluate differences of opinion both before and after educational pieces concerning GMOs were provided to the subjects. Mind maps were developed in a network format to illustrate and provide a framework for some of the analyses. The networks were configured using the Network Overview Discovery and Exploration for Excel (NodeXL) plugin. Statistical work was conducted using the Statistical Analysis System (SAS). As an alternative source of data, Twitter messages were captured using the Twitter streaming API. The likely gender of the author of each Twitter posting was ascertained through analyses of author names and the text of the message. Basic analytics on the Twitter feeds were carried out on the hypotheses of interest. The study reveals gender differences in risk perceptions, and less than complete agreement between the survey and the social media based studies.
COVID-19 is now becoming a global issue and declared as pandemic by world health organization. Th... more COVID-19 is now becoming a global issue and declared as pandemic by world health organization. This virus spread out from China to entire world. This paper performed a descriptive analysis of COVID-19 in special reference of India. Different attributes such as age, gender, travel history, communication type and current status are analyzed. Till now it can be stated from the study that age is not a significant factor that affect a person to be captured by this disease, also age attribute is normally distributed in current dataset. A significant relationship is found between gender (male and female) and Transmission Type (imported from other country or communicated from local) of the patients.
Journal of Discrete Mathematical Sciences and Cryptography
Predicting the probability of CORONA virus outbreak has been studied in recent days, but the publ... more Predicting the probability of CORONA virus outbreak has been studied in recent days, but the published literature seldom contains multiple model comparisons or predictive analysis of uncertainty. Time series parameters are the core factors influencing infectious diseases such as severe acute respiratory syndrome ( SARS) and influenza. As a global pandemic is imminent, the prediction of real-time transmission of COVID-19 is crucial. The objective of this paper is to produce a real-time forecasts using the SVM model. The purpose of this study is to investigate the Corona Virus Disease 2019 (COVID-19) prediction of confirmed, deceased and recovered cases. This prediction will help to plan resources, determine government policy, and provide survivors with immunity passports, and use the same plasma for care. In this analysis, data including attributes such as location wise confirmed, deceased, recovered COVID-19, longitude and latitude were collected from January 22, 2020 to April 25, 2020 worldwide. Support Vector Machine was used to explore the impact on identification, deceased, and recovery.
Abstract This paper presents reliability analysis and perceptions of genetically modified organis... more Abstract This paper presents reliability analysis and perceptions of genetically modified organisms (GMOs) using Cronbach’s alpha and the study involved in carrying out pre- and post-survey instrument analysis. The outcome has been validated and found acceptable for internal consistency. Perceptions have been tabulated and changes in them have been observed.
Journal of Discrete Mathematical Sciences and Cryptography
Abstract The general solutions of the functional equation in which f, g, h are real-valued mappin... more Abstract The general solutions of the functional equation in which f, g, h are real-valued mappings each with domain I = [0,1]; (p1 , … , pn ) ∈ Гn,(q1 , … , qm ) ∈ Гm; n ≥ 3, m ≥ 3 being fixed integers; α > 0, α ≠ 1, α ∈ ℝ; have been obtained. Some of the solutions are related to entropies of degree α; entropies of degree (α, β); and to Gini-Simpson index.
Software Engineering and Applications/ 831: Advances in Power and Energy Systems, 2015
Understanding of the perceptions of consumers toward food products is a highly challenging task. ... more Understanding of the perceptions of consumers toward food products is a highly challenging task. The presence of biotechnology in food products, such as genetic modifications, gives rise to differing views on its benefits and risks. We report analyses of survey data aimed at carefully understanding the risk perceptions of consumers toward food products that involve genetically modified organisms (GMOs). We report results from an empirical study that investigates the changes in consumer perceptions when exposed to informative material concerning GMOs in food products. A survey instrument was designed using Qualtrics API to formulate a set of questions regarding GMOs (including both the pre and post study questionnaire) and all the participants were recruited via Amazon Mechanical Turk API. The responses were collected and thoroughly analyzed by creating relevant mind maps using Network Overview Discovery and Exploration for Excel (NodeXL) plugin. The analyzed results were further validated by conducting appropriate statistical analyses using Statistical Analysis System (SAS).
This paper studies the patterns of the already known parameters of the well-known Hamming codes. ... more This paper studies the patterns of the already known parameters of the well-known Hamming codes. In fact, we explore the difference equations that these parameters satisfy. Further, the length n i and the number of information digits k i of the corresponding codes are also shown to be linearly independent solutions of an r-th order linear non-homogeneous difference equation.
International Journal of Artificial Intelligence and Soft Computing, 2015
Artificial bee colony ABC optimisation algorithm is relatively a recent, fast and easy to impleme... more Artificial bee colony ABC optimisation algorithm is relatively a recent, fast and easy to implement population-based meta heuristic for optimisation. ABC has been proved a competitive algorithm with some popular swarm intelligence-based algorithms such as particle swarm optimisation, firefly algorithm and ant colony optimisation. However, it is observed that ABC algorithm is better at exploration but poor at exploitation. Due to large step size, the solution search equation of ABC has enough chance to skip the optimum. In order to balance this, ABC is hybridised with a local search called as classical unidimensional search CUS. The proposed algorithm is named as hybridised ABC HABC. In HABC, best solution of each iteration is further exploited in both its positive and negative direction in a predefined range which enhances the exploitation in ABC. The experiments are carried out on 15 test problems of different complexities and dimensions in order to prove the efficiency of proposed algorithm and compared with ABC. The results shows that hybridisation of CUS with ABC improves the performance of ABC.
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