Pub Date : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243334
Vaibhav Jain, Dhruv Chandel, Piyush Garg, D. Vishwakarma
Depression is the leading global disability, and unipolar (as opposed to bipolar) depression is the 10th leading cause of early death, as stated by the World Health Organization (WHO) in 2015. The study aims to build an approach for depression and impaired mental health analysis from social media platforms. Although for Depression analysis and cure. Psyscologists preferred over machines because they are manipulative and precautionary to Human emotions to a greater extent, Machine Learning has an added advantage. It has no emotions; it studies patterns, not face or beauty or other factors. It studies a wide variety of data and then trains to give better predictions. Although it is not 100% reliable nor are the doctors. Moreover, in countries like India where people don't treat Depression as a Chronic Illness or don't even consider it as an illness of any sort, embedding Machine Learning Depression Detection Algorithms in Social Media combined with recommendation systems to treat a Human Mind positively, still being unnoticeable is a Great Boon to humanity The study is assisted by data collected from users after obtaining their consent and applying data preprocessing techniques. Several machine learning is used to analyze the data in the best way possible. A VAPID Technique is developed that performs far better than a classic feed-forward neural network. This study aims to develop a correlation between features and depressed people to observe a continuous pattern. Moreover, the aim is to conclude that social media can be a new exceptional methodology for analyzing depression and analyzing indirect patterns, improving many lives.
{"title":"Depression and Impaired Mental Health Analysis from Social Media Platforms using Predictive Modelling Techniques","authors":"Vaibhav Jain, Dhruv Chandel, Piyush Garg, D. Vishwakarma","doi":"10.1109/I-SMAC49090.2020.9243334","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243334","url":null,"abstract":"Depression is the leading global disability, and unipolar (as opposed to bipolar) depression is the 10th leading cause of early death, as stated by the World Health Organization (WHO) in 2015. The study aims to build an approach for depression and impaired mental health analysis from social media platforms. Although for Depression analysis and cure. Psyscologists preferred over machines because they are manipulative and precautionary to Human emotions to a greater extent, Machine Learning has an added advantage. It has no emotions; it studies patterns, not face or beauty or other factors. It studies a wide variety of data and then trains to give better predictions. Although it is not 100% reliable nor are the doctors. Moreover, in countries like India where people don't treat Depression as a Chronic Illness or don't even consider it as an illness of any sort, embedding Machine Learning Depression Detection Algorithms in Social Media combined with recommendation systems to treat a Human Mind positively, still being unnoticeable is a Great Boon to humanity The study is assisted by data collected from users after obtaining their consent and applying data preprocessing techniques. Several machine learning is used to analyze the data in the best way possible. A VAPID Technique is developed that performs far better than a classic feed-forward neural network. This study aims to develop a correlation between features and depressed people to observe a continuous pattern. Moreover, the aim is to conclude that social media can be a new exceptional methodology for analyzing depression and analyzing indirect patterns, improving many lives.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130109443","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243309
Kayalvizhi Jayavel, Kanagaraj Venusamy, L. G
Internet of Things (IoT) test beds are widely used by developers predominantly. Off late, Test beds are being used by data analysts, academicians, industrial persons and hardware ardent. The real purpose of test beds, is to achieve accurate testing results, mimicking the real time environment to the extent possible which is otherwise not possible to reproduce using simulators. As predicted by many industrial giants IoT based devices will reach the scale of billions by 2015. The applications and opportunities they create will also be innumerable. This has created a huge demand for such testing grounds, because a system deployed without proper testing may be vulnerable and sometimes disastrous. Thus our research aims to explore the qualities of test beds, the services they offer and how to enhance the performance of test beds. Our test bed framework is designed and developed with open-source boards to achieved heterogeneity, reusability, interoperability and scalability. This framework would like to be addressed as a utility, with “X” as service: data, sensor client, actuator client, and platform. To achieve this, APIs which is platform and language independent has been developed and provides third-party developer support. The APIs developed have shown considerable improvement in terms of data transfer rate, database upload and retrieval, and user responsiveness. Thus, our framework is capable of offering services through our API. And have demonstrated with the help of conditional probability techniques enhancement in performance and reusability, visualized the same in terms of graphs and datasets.
{"title":"Design and Implementation of IoT Testbed with Improved Reliability using Conditional Probability Techniques","authors":"Kayalvizhi Jayavel, Kanagaraj Venusamy, L. G","doi":"10.1109/I-SMAC49090.2020.9243309","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243309","url":null,"abstract":"Internet of Things (IoT) test beds are widely used by developers predominantly. Off late, Test beds are being used by data analysts, academicians, industrial persons and hardware ardent. The real purpose of test beds, is to achieve accurate testing results, mimicking the real time environment to the extent possible which is otherwise not possible to reproduce using simulators. As predicted by many industrial giants IoT based devices will reach the scale of billions by 2015. The applications and opportunities they create will also be innumerable. This has created a huge demand for such testing grounds, because a system deployed without proper testing may be vulnerable and sometimes disastrous. Thus our research aims to explore the qualities of test beds, the services they offer and how to enhance the performance of test beds. Our test bed framework is designed and developed with open-source boards to achieved heterogeneity, reusability, interoperability and scalability. This framework would like to be addressed as a utility, with “X” as service: data, sensor client, actuator client, and platform. To achieve this, APIs which is platform and language independent has been developed and provides third-party developer support. The APIs developed have shown considerable improvement in terms of data transfer rate, database upload and retrieval, and user responsiveness. Thus, our framework is capable of offering services through our API. And have demonstrated with the help of conditional probability techniques enhancement in performance and reusability, visualized the same in terms of graphs and datasets.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"274 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122153410","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243412
J. K. Solomon Doss, S. Kamalakkannan
In a block channel IoT system, sensitive details can be leaked by means of the proof of work or address check, as data or application Validation data is applied on the blockchain. In this, the zero-knowledge evidence is applied to a smart metering system to show how to improve the anonymity of the blockchain for privacy safety without disclosing information as a public key. Within this article, a blockchain has been implemented to deter security risks such as data counterfeiting by utilizing intelligent meters. Zero-Knowledge Proof, an anonymity blockchain technology, has been implemented through block inquiry to prevent threats to security like personal information infringement. It was suggested that intelligent contracts would be used to avoid falsification of intelligent meter data and abuse of personal details.
{"title":"IoT System Accomplishment using BlockChain in Validating and Data Security with Cloud","authors":"J. K. Solomon Doss, S. Kamalakkannan","doi":"10.1109/I-SMAC49090.2020.9243412","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243412","url":null,"abstract":"In a block channel IoT system, sensitive details can be leaked by means of the proof of work or address check, as data or application Validation data is applied on the blockchain. In this, the zero-knowledge evidence is applied to a smart metering system to show how to improve the anonymity of the blockchain for privacy safety without disclosing information as a public key. Within this article, a blockchain has been implemented to deter security risks such as data counterfeiting by utilizing intelligent meters. Zero-Knowledge Proof, an anonymity blockchain technology, has been implemented through block inquiry to prevent threats to security like personal information infringement. It was suggested that intelligent contracts would be used to avoid falsification of intelligent meter data and abuse of personal details.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"156 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125914070","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243390
Lamiaa A. Abou elazm, S. Ibrahim, Mohamed G. Egila, H. Shawkey, M. Elsaid, W. El-shafai, F. A. Abd El-Samie
The use of biometrics in security applications may be vulnerable to several challenges of hacking. Thus, the emergence of cancellable biometrics becomes a suitable solution to this problem. This paper presents a one-way cancellable biometric transform that depends on 3D chaotic maps for face and fingerprint encryption. It aims to avoid cloning of original biometrics and allow the templates used by each user in different applications to be variable. The permutations achieved with the chaotic maps guarantee high security of the biometric templates, especially with the 3D implementation of the encryption algorithm. In addition, the paper presents a hardware implementation for this framework. The proposed algorithm also achieves good performance in the presence of low and moderate levels of noise. An experimental version of the proposed cancellable biometric system has been applied on FPGA model. The obtained results achieve a powerful performance of the proposed cancellable biometric system.
{"title":"Hardware Implementation of Cancellable Biometric Systems","authors":"Lamiaa A. Abou elazm, S. Ibrahim, Mohamed G. Egila, H. Shawkey, M. Elsaid, W. El-shafai, F. A. Abd El-Samie","doi":"10.1109/I-SMAC49090.2020.9243390","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243390","url":null,"abstract":"The use of biometrics in security applications may be vulnerable to several challenges of hacking. Thus, the emergence of cancellable biometrics becomes a suitable solution to this problem. This paper presents a one-way cancellable biometric transform that depends on 3D chaotic maps for face and fingerprint encryption. It aims to avoid cloning of original biometrics and allow the templates used by each user in different applications to be variable. The permutations achieved with the chaotic maps guarantee high security of the biometric templates, especially with the 3D implementation of the encryption algorithm. In addition, the paper presents a hardware implementation for this framework. The proposed algorithm also achieves good performance in the presence of low and moderate levels of noise. An experimental version of the proposed cancellable biometric system has been applied on FPGA model. The obtained results achieve a powerful performance of the proposed cancellable biometric system.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127198883","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243473
M. Hans, Manoj Kumar Nigam, Maheshwari D. Mirajkar, Brijesh Patel
The advanced control method for electric reactive power compensation with the help of electronics components is binary current control method. This method allows a sufficient number of compensating branches to establish a fine and precise control of reactive power in electrical system. This method consists of Thyristor binary switched capacitor (TBSC) and Thyristor binary switched reactor (TBSR), which are based on the series of Thyristor switched capacitor (TSC) and Thyristor controlled reactor (TCR). The bank of TSC, TCR arranged in binary form i.e. split bank in multiple of two. For harmonic elimination use transient free switching of TBSC, TBSR In this paper three topologies are explained 1) TBSC 2) TBSR 3) TBSC-TBSR for reactive power compensation of dynamic load. In the third topology excessive KVAR given by TBSC is absorbed by TBSR. The simulation results show that the proposed topologies can achieve reactive power compensation.
{"title":"Simulation based reactive power compensation by using TBSC/TBSR for dynamic load","authors":"M. Hans, Manoj Kumar Nigam, Maheshwari D. Mirajkar, Brijesh Patel","doi":"10.1109/I-SMAC49090.2020.9243473","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243473","url":null,"abstract":"The advanced control method for electric reactive power compensation with the help of electronics components is binary current control method. This method allows a sufficient number of compensating branches to establish a fine and precise control of reactive power in electrical system. This method consists of Thyristor binary switched capacitor (TBSC) and Thyristor binary switched reactor (TBSR), which are based on the series of Thyristor switched capacitor (TSC) and Thyristor controlled reactor (TCR). The bank of TSC, TCR arranged in binary form i.e. split bank in multiple of two. For harmonic elimination use transient free switching of TBSC, TBSR In this paper three topologies are explained 1) TBSC 2) TBSR 3) TBSC-TBSR for reactive power compensation of dynamic load. In the third topology excessive KVAR given by TBSC is absorbed by TBSR. The simulation results show that the proposed topologies can achieve reactive power compensation.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"17 19","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120821047","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243454
Koduru Suresh, G. V. Kumar
With the advancement of Internet of Things, the utilization factor has shifted from computers to every gadget used by humans. It is important that the end user services across different applications are required to be offered at one-stop with cost effective solutions. Today sensors are installed in applications that need to be monitored in real-time but it must be taken into consideration with respect to the cost and maintenance involved with physical sensors. Hence there is need to depend on virtual internet of things for real time monitoring of applications with minimal use of physical sensors. Here virtual internet of things is coined as the use of various cloud technologies that control and monitor the applications using API's with minimal use of physical sensors. In this work a plug and play framework is devised based on VIoT (virtual internet of things) and IoT for implementing on applications that are dependent on environmental monitoring. Later based on the defined framework two use cases are illustrated. Here actuation and automation are done based on certain imposed constraints to respond as per inputs and outputs generated by various devices installed in real time applications.
{"title":"Integrated Cloud Internet of Things for Realtime Applications","authors":"Koduru Suresh, G. V. Kumar","doi":"10.1109/I-SMAC49090.2020.9243454","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243454","url":null,"abstract":"With the advancement of Internet of Things, the utilization factor has shifted from computers to every gadget used by humans. It is important that the end user services across different applications are required to be offered at one-stop with cost effective solutions. Today sensors are installed in applications that need to be monitored in real-time but it must be taken into consideration with respect to the cost and maintenance involved with physical sensors. Hence there is need to depend on virtual internet of things for real time monitoring of applications with minimal use of physical sensors. Here virtual internet of things is coined as the use of various cloud technologies that control and monitor the applications using API's with minimal use of physical sensors. In this work a plug and play framework is devised based on VIoT (virtual internet of things) and IoT for implementing on applications that are dependent on environmental monitoring. Later based on the defined framework two use cases are illustrated. Here actuation and automation are done based on certain imposed constraints to respond as per inputs and outputs generated by various devices installed in real time applications.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128958307","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243564
A. Amudha, M. Ramkumar, V. Vijayalakshmi, G. Emayavaramban, V. Mansoor, S. Divyapriya, P. Nagaveni
The present work describes modelling, simulation and configuration of the Dual Loop Controller for the CCD Microgrid Operation of the Positive Performance Super Lift Luo Converters (POESLLC). The incorporation of green energy sources makes DC microgrids exciting. The super lifting Luo Converters is key in connecting a DC source in the DC microgrids, due to the low power rates of these DC sources. Traditional boost converters, buck converters and buck boost converters produced lower voltage transmission gain and ribs. POESLLC is recommended for DC micro grid applications in order to solve these issues. Dual loop controller regulates the output voltage and the inductor current of the converter The PI controller is the external voltage loop for the load voltage controlling and the P controller is the internal current loop for the inductor current control. By designing the MATLAB / SIMULINK model under various operating conditions, the dual loop controller of POESLLC is checked. Such converters could be included in electronic power courses to support graduate students and graduate students in their exploration of their knowledge in the field of application.
{"title":"Modeling, Simulation and Design of Luo Converter for DC Micro Grid Application","authors":"A. Amudha, M. Ramkumar, V. Vijayalakshmi, G. Emayavaramban, V. Mansoor, S. Divyapriya, P. Nagaveni","doi":"10.1109/I-SMAC49090.2020.9243564","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243564","url":null,"abstract":"The present work describes modelling, simulation and configuration of the Dual Loop Controller for the CCD Microgrid Operation of the Positive Performance Super Lift Luo Converters (POESLLC). The incorporation of green energy sources makes DC microgrids exciting. The super lifting Luo Converters is key in connecting a DC source in the DC microgrids, due to the low power rates of these DC sources. Traditional boost converters, buck converters and buck boost converters produced lower voltage transmission gain and ribs. POESLLC is recommended for DC micro grid applications in order to solve these issues. Dual loop controller regulates the output voltage and the inductor current of the converter The PI controller is the external voltage loop for the load voltage controlling and the P controller is the internal current loop for the inductor current control. By designing the MATLAB / SIMULINK model under various operating conditions, the dual loop controller of POESLLC is checked. Such converters could be included in electronic power courses to support graduate students and graduate students in their exploration of their knowledge in the field of application.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129396084","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243342
N. MohanaSundaram
Artificial neural networks are powerful data computational models which have the capability of representation of complex input-output relationships of physical systems. Further they could perform “intelligent” tasks that performed by the human brain. In this work a predictive nonlinear model of an internal combustion engine is simulated using Elman recurrent neural work, Cascade Forward Neural Network and a Feed Forward Neural Network to predict the operational parameters engine torque and the nitrous oxide emissions. The parameters fuel rate and speed of the engine serve as input. A standard bench mark dataset is used for training the Elman neural network. The simulations results confirm that the Neural Network models can map the nonlinear input -output relationships in an effective manner. All the three different neural networks could map the input-output relationship and the test results confirm that Elman Neural Network has the best performance.
{"title":"Non Linear Predictive Modelling for IC Engine Using Artificial Neural Network","authors":"N. MohanaSundaram","doi":"10.1109/I-SMAC49090.2020.9243342","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243342","url":null,"abstract":"Artificial neural networks are powerful data computational models which have the capability of representation of complex input-output relationships of physical systems. Further they could perform “intelligent” tasks that performed by the human brain. In this work a predictive nonlinear model of an internal combustion engine is simulated using Elman recurrent neural work, Cascade Forward Neural Network and a Feed Forward Neural Network to predict the operational parameters engine torque and the nitrous oxide emissions. The parameters fuel rate and speed of the engine serve as input. A standard bench mark dataset is used for training the Elman neural network. The simulations results confirm that the Neural Network models can map the nonlinear input -output relationships in an effective manner. All the three different neural networks could map the input-output relationship and the test results confirm that Elman Neural Network has the best performance.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116367620","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243481
Abeer Mahmood Hassan, Saad Talib Hasson
After the spread of the coronavirus. It became necessary to presenting artificial intelligence algorithms to study social contact between people. On the other hand, social network considers as a complex network. The situation became urgent to reduce these networks and reduce links between people inside each network while maintaining full controllability of the networks to reduce the number of real contact and minimize the cost of the networks especially in these bad days, which the world lives in due to the spread of epidemics, viruses, and infection. This paper aims to present a model that computes controllability on real contact people's networks to reduce touches and keep the network in a controlled manner based on three ways. a structural controllability approach is using by applying the Bipartite-graph algorithm and the Hopcroft-Karp algorithm. In order to determine the drive nodes that must be controlled to gain full control of the network, normal driver nodes and weak driver nodes. Weak driver nodes can remove to enhance controllability. As a result, network controllability increased by 12.8%, reduced rate of drive nodes, reduced the chance of spread of infection by 67%.
{"title":"A Controllability Algorithm to Minimize the Spreading chance of COVID-19 in Individual Networks","authors":"Abeer Mahmood Hassan, Saad Talib Hasson","doi":"10.1109/I-SMAC49090.2020.9243481","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243481","url":null,"abstract":"After the spread of the coronavirus. It became necessary to presenting artificial intelligence algorithms to study social contact between people. On the other hand, social network considers as a complex network. The situation became urgent to reduce these networks and reduce links between people inside each network while maintaining full controllability of the networks to reduce the number of real contact and minimize the cost of the networks especially in these bad days, which the world lives in due to the spread of epidemics, viruses, and infection. This paper aims to present a model that computes controllability on real contact people's networks to reduce touches and keep the network in a controlled manner based on three ways. a structural controllability approach is using by applying the Bipartite-graph algorithm and the Hopcroft-Karp algorithm. In order to determine the drive nodes that must be controlled to gain full control of the network, normal driver nodes and weak driver nodes. Weak driver nodes can remove to enhance controllability. As a result, network controllability increased by 12.8%, reduced rate of drive nodes, reduced the chance of spread of infection by 67%.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127118904","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243377
Madhavi Dave, Jyotika Doshi, Harshal A. Arolkar
Internet of Things (IoT) is a developing technology from recent decades which works on heterogeneous machines and technology interoperate without human involvement. The challenge of IoT automation is to coordinate autonomous devices, sensors and real-time applications for seamless communication. Many organizations and researchers have demonstrated various solutions for a wide range of IoT devices. However, the available system provides its specific IoT infrastructure, devices, APIs and data formats, which leads to interoperability issues. A new data interoperability solution MQTT-CoAP Interconnector (MCI) is designed for interoperability of MQTT and CoAP protocols at the application layer of IoT. It works as a bridge between the local message of MQTT and remote message of CoAP with data parsing capacity. MCIis the lightweight interoperability solution designed with consideration of resource-constrained devices of the IoT ecosystem. As compared to available open-source solutions, MCI performs better considering communication parameters like transmission time, throughput, latency and packet loss. Thus, the MCI interoperability solution can benefit to resolve one of the major issues of the IoT ecosystem.
{"title":"MQTT- CoAP Interconnector: IoT Interoperability Solution for Application Layer Protocols","authors":"Madhavi Dave, Jyotika Doshi, Harshal A. Arolkar","doi":"10.1109/I-SMAC49090.2020.9243377","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243377","url":null,"abstract":"Internet of Things (IoT) is a developing technology from recent decades which works on heterogeneous machines and technology interoperate without human involvement. The challenge of IoT automation is to coordinate autonomous devices, sensors and real-time applications for seamless communication. Many organizations and researchers have demonstrated various solutions for a wide range of IoT devices. However, the available system provides its specific IoT infrastructure, devices, APIs and data formats, which leads to interoperability issues. A new data interoperability solution MQTT-CoAP Interconnector (MCI) is designed for interoperability of MQTT and CoAP protocols at the application layer of IoT. It works as a bridge between the local message of MQTT and remote message of CoAP with data parsing capacity. MCIis the lightweight interoperability solution designed with consideration of resource-constrained devices of the IoT ecosystem. As compared to available open-source solutions, MCI performs better considering communication parameters like transmission time, throughput, latency and packet loss. Thus, the MCI interoperability solution can benefit to resolve one of the major issues of the IoT ecosystem.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125414094","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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