Pub Date : 2021-02-05DOI: 10.1109/iemre52042.2021.9386522
{"title":"IEMRE 2021 Cover Page","authors":"","doi":"10.1109/iemre52042.2021.9386522","DOIUrl":"https://doi.org/10.1109/iemre52042.2021.9386522","url":null,"abstract":"","PeriodicalId":202287,"journal":{"name":"2021 Innovations in Energy Management and Renewable Resources(52042)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117023911","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 : 2021-02-05DOI: 10.1109/IEMRE52042.2021.9386827
Gourab Adhikari, S. Halder, Sriparna Banerjee, S. S. Chaudhuri
Before the advent of microwave based imaging radars, most passive high resolution sensors were camera systems with detectors that were sensitive to either solar radiation or thermal radiation emitted from the earth’s surface. The Synthetic Aperture Radar (SAR) represented a fundamentally different technique for earth surface observations. A microwave based radar system is an active method of remote sensing that transmits a beam/out-burst of electromagnetic (EM) radiation which falls in the microwave region of the EM spectrum and this instrument is used to observe properties of the earth’s surface which were previously not detectable by ordinary photo-sensitive sensors (eg. optical, thermal). As an active system, SAR provides its own source of illuminating a target (microwave energy) and is not dependent on the light from the sun which most of the other type of sensors rely on, this permits a SAR based radar imaging for continuous day/night operation. Furthermore, neither clouds, fog, nor precipitation have a significant effect on microwave, thus permitting all-weather imaging capability. The net result is an instrument that is capable of continuously observing dynamic phenomena of ocean currents, weather patterns, changing patterns of vegetation, etc. However, all radar images appear with some degree of radar speckle i.e. graininess/salt and pepper texture in the image and is inherently present in any of the three modes (spotlight, scanSAR, stripmap) of acquisition. Speckle is a very serious and major issue in processing of SAR images and it is extremely difficult to go for machine interpretation and extraction of useful information from the mapped data. This problem of graininess in the image of an earth feature is caused by random constructive and destructive interference from the multiple scattering returns that occur within each resolution cell. SAR data has been used for a variety of applications (e.g. cartography, geologic structure mapping) for which qualitative analyses of the image products were sufficient to extract the desired information. However, to fully exploit the back-scattered information contained in a raw SAR data, quantitative analysis of the target back-scatter characteristics is required. Also, raw SAR data suffers from geometric distortion which arises from variation in the terrain elevation and pose a problem to side looking ranging instrument as in the case of a SAR system. In this paper, we have proposed a series of processing steps using which a very accurate polarized feature matrix values for a particular back-scatterer on earth’s surface can be obtained.
{"title":"An Edge Aware Polarimetric Co-Variance Feature Matrix Generation of Geo-Coded and Quad-Polarized Single Look Complex Synthetic Aperture Radar Data","authors":"Gourab Adhikari, S. Halder, Sriparna Banerjee, S. S. Chaudhuri","doi":"10.1109/IEMRE52042.2021.9386827","DOIUrl":"https://doi.org/10.1109/IEMRE52042.2021.9386827","url":null,"abstract":"Before the advent of microwave based imaging radars, most passive high resolution sensors were camera systems with detectors that were sensitive to either solar radiation or thermal radiation emitted from the earth’s surface. The Synthetic Aperture Radar (SAR) represented a fundamentally different technique for earth surface observations. A microwave based radar system is an active method of remote sensing that transmits a beam/out-burst of electromagnetic (EM) radiation which falls in the microwave region of the EM spectrum and this instrument is used to observe properties of the earth’s surface which were previously not detectable by ordinary photo-sensitive sensors (eg. optical, thermal). As an active system, SAR provides its own source of illuminating a target (microwave energy) and is not dependent on the light from the sun which most of the other type of sensors rely on, this permits a SAR based radar imaging for continuous day/night operation. Furthermore, neither clouds, fog, nor precipitation have a significant effect on microwave, thus permitting all-weather imaging capability. The net result is an instrument that is capable of continuously observing dynamic phenomena of ocean currents, weather patterns, changing patterns of vegetation, etc. However, all radar images appear with some degree of radar speckle i.e. graininess/salt and pepper texture in the image and is inherently present in any of the three modes (spotlight, scanSAR, stripmap) of acquisition. Speckle is a very serious and major issue in processing of SAR images and it is extremely difficult to go for machine interpretation and extraction of useful information from the mapped data. This problem of graininess in the image of an earth feature is caused by random constructive and destructive interference from the multiple scattering returns that occur within each resolution cell. SAR data has been used for a variety of applications (e.g. cartography, geologic structure mapping) for which qualitative analyses of the image products were sufficient to extract the desired information. However, to fully exploit the back-scattered information contained in a raw SAR data, quantitative analysis of the target back-scatter characteristics is required. Also, raw SAR data suffers from geometric distortion which arises from variation in the terrain elevation and pose a problem to side looking ranging instrument as in the case of a SAR system. In this paper, we have proposed a series of processing steps using which a very accurate polarized feature matrix values for a particular back-scatterer on earth’s surface can be obtained.","PeriodicalId":202287,"journal":{"name":"2021 Innovations in Energy Management and Renewable Resources(52042)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115735128","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 : 2021-02-05DOI: 10.1109/IEMRE52042.2021.9386737
A. Das, Soumita Jana, Pranita Ganguly, Nirban Chakraborty
Associative classification frameworks have been effectively used to build classification frameworks. The significant strength of such strategies is that they can utilize the most exact guidelines among a comprehensive rundown of class-affiliation rules. This clarifies their great exhibition as a rule, however to the inconvenience of a costly figuring cost, acquired from affiliation rules revelation calculations. We address this issue by proposing an appropriate procedure dependent on FP-development calculation. In a shared nothing design, subsets of arrangement rules are created in equal amounts from a few information segments. A between processor correspondence is set up to settle on worldwide choices. This trade is made distinctly in the main degree of recursion, permitting each machine to thus deal with all its allotted errands autonomously. The last classifier is worked by a lion’s share vote. This methodology is outlined by a definite model, and an examination of correspondence cost.
{"title":"Application of Association Rule:Apriori Algorithm in E-Commerce","authors":"A. Das, Soumita Jana, Pranita Ganguly, Nirban Chakraborty","doi":"10.1109/IEMRE52042.2021.9386737","DOIUrl":"https://doi.org/10.1109/IEMRE52042.2021.9386737","url":null,"abstract":"Associative classification frameworks have been effectively used to build classification frameworks. The significant strength of such strategies is that they can utilize the most exact guidelines among a comprehensive rundown of class-affiliation rules. This clarifies their great exhibition as a rule, however to the inconvenience of a costly figuring cost, acquired from affiliation rules revelation calculations. We address this issue by proposing an appropriate procedure dependent on FP-development calculation. In a shared nothing design, subsets of arrangement rules are created in equal amounts from a few information segments. A between processor correspondence is set up to settle on worldwide choices. This trade is made distinctly in the main degree of recursion, permitting each machine to thus deal with all its allotted errands autonomously. The last classifier is worked by a lion’s share vote. This methodology is outlined by a definite model, and an examination of correspondence cost.","PeriodicalId":202287,"journal":{"name":"2021 Innovations in Energy Management and Renewable Resources(52042)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129596069","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 : 2021-02-05DOI: 10.1109/IEMRE52042.2021.9387014
A. Saha, N. Manna, Koushik Ghosh
The scope of present work is to investigate natural convection in a solar collector filled with Al2 O3-water nanofluid. The numerical simulation is carried out for single-phase nanofluid using the finite volume approach. The investigation is performed in a two-dimensional differentially heated solar collector. The simulation is carried out for different inclination angles varies from a horizontal position to vertical position maintaining a fixed value of Rayleigh number, aspect ratio and solid volume fraction. The details of the flow and heat transfer are studied using streamlines and isotherms. The irreversibility associated with flow and heat transfer is studied using the rate of entropy generation due to thermal conduction and viscous dissipation. It is observed that the heat transfer due to convection and total entropy generation monotonically increases as the solar collector is tilted from horizontal position to vertical position.
{"title":"Thermal Hydraulic Analysis of Natural Convection in a Solar Collector Filled with Nanofluid","authors":"A. Saha, N. Manna, Koushik Ghosh","doi":"10.1109/IEMRE52042.2021.9387014","DOIUrl":"https://doi.org/10.1109/IEMRE52042.2021.9387014","url":null,"abstract":"The scope of present work is to investigate natural convection in a solar collector filled with Al2 O3-water nanofluid. The numerical simulation is carried out for single-phase nanofluid using the finite volume approach. The investigation is performed in a two-dimensional differentially heated solar collector. The simulation is carried out for different inclination angles varies from a horizontal position to vertical position maintaining a fixed value of Rayleigh number, aspect ratio and solid volume fraction. The details of the flow and heat transfer are studied using streamlines and isotherms. The irreversibility associated with flow and heat transfer is studied using the rate of entropy generation due to thermal conduction and viscous dissipation. It is observed that the heat transfer due to convection and total entropy generation monotonically increases as the solar collector is tilted from horizontal position to vertical position.","PeriodicalId":202287,"journal":{"name":"2021 Innovations in Energy Management and Renewable Resources(52042)","volume":"281 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127513882","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 Maximum Power Point Tracking (MPPT) is an important factor to increase the efficiency of the solar photovoltaic (PV) system. This paper presents a solar PV system containing a solar PV array, a DC/DC boost converter and a load. Different MPPT algorithms have been established with their features. The conventional algorithms (Perturb and Observe, Incremental Conductance and Open Circuit Voltage) show a lot of drawbacks. The major issue is the tracking of the Maximum Power Point (MPP) when environmental conditions change faster. So, a MPPT technique based on Neural Network (NN) was developed and which can enhance the efficiency and gathers the advantages of a lot of techniques. A multi layer neural network with back-propagation algorithm is used in order to have a small Mean Squared Error (MSE). The inputs of NN are irradiance, temperature and the output is the duty cycle that controls the boost converter. Finally, it is discussed the results and made comparison in terms of performance of the different algorithms, covering the overshoot, time response, oscillation and stability.
{"title":"Development of a Photovoltaic MPPT Control based on Neural Network","authors":"Elhor Abderrahmane, Kerboua Abdelfettah, Boukli Hacen Fouad, O.F. Soares","doi":"10.1109/IEMRE52042.2021.9386910","DOIUrl":"https://doi.org/10.1109/IEMRE52042.2021.9386910","url":null,"abstract":"The Maximum Power Point Tracking (MPPT) is an important factor to increase the efficiency of the solar photovoltaic (PV) system. This paper presents a solar PV system containing a solar PV array, a DC/DC boost converter and a load. Different MPPT algorithms have been established with their features. The conventional algorithms (Perturb and Observe, Incremental Conductance and Open Circuit Voltage) show a lot of drawbacks. The major issue is the tracking of the Maximum Power Point (MPP) when environmental conditions change faster. So, a MPPT technique based on Neural Network (NN) was developed and which can enhance the efficiency and gathers the advantages of a lot of techniques. A multi layer neural network with back-propagation algorithm is used in order to have a small Mean Squared Error (MSE). The inputs of NN are irradiance, temperature and the output is the duty cycle that controls the boost converter. Finally, it is discussed the results and made comparison in terms of performance of the different algorithms, covering the overshoot, time response, oscillation and stability.","PeriodicalId":202287,"journal":{"name":"2021 Innovations in Energy Management and Renewable Resources(52042)","volume":"646 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132066985","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 : 2021-02-05DOI: 10.1109/IEMRE52042.2021.9386769
Aditya Shrivastava, Rohit, S. Sony, Naman Gupta, P. Paliwal
With the advancements made in renewable energy systems and eventual reduction in cost, renewable sources such as solar and wind are gaining attention. Solar power being abundantly available promises a sustainable solution to growing demands. However, stochastic nature of solar irradiance presents operational challenges. In order to address the need of for proper coordination, this paper presents control of a Solar and battery storage based micro-grid in grid connected mode. PV array is equipped with maximum power point tracking (MPPT) control. The micro-grid is interspersed with battery storage along with charge controller to maintain uncertain generation from solar generators. The grid-side inverter is operated in P-Q control mode. The model has been formulated in MATLAB-Simulink environment. The model has been investigated for two cases (i) Constant load, variable irradiance (ii) Variable load, variable irradiance. The results evidently establish the efficacy of control technique in maintaining voltage, frequency and power balance at PCC.
{"title":"Control of Solar-battery storage based Micro-grid","authors":"Aditya Shrivastava, Rohit, S. Sony, Naman Gupta, P. Paliwal","doi":"10.1109/IEMRE52042.2021.9386769","DOIUrl":"https://doi.org/10.1109/IEMRE52042.2021.9386769","url":null,"abstract":"With the advancements made in renewable energy systems and eventual reduction in cost, renewable sources such as solar and wind are gaining attention. Solar power being abundantly available promises a sustainable solution to growing demands. However, stochastic nature of solar irradiance presents operational challenges. In order to address the need of for proper coordination, this paper presents control of a Solar and battery storage based micro-grid in grid connected mode. PV array is equipped with maximum power point tracking (MPPT) control. The micro-grid is interspersed with battery storage along with charge controller to maintain uncertain generation from solar generators. The grid-side inverter is operated in P-Q control mode. The model has been formulated in MATLAB-Simulink environment. The model has been investigated for two cases (i) Constant load, variable irradiance (ii) Variable load, variable irradiance. The results evidently establish the efficacy of control technique in maintaining voltage, frequency and power balance at PCC.","PeriodicalId":202287,"journal":{"name":"2021 Innovations in Energy Management and Renewable Resources(52042)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116504186","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 : 2021-02-05DOI: 10.1109/iemre52042.2021.9386748
Subhodeep Paul, Tathagata Dey, P. Saha, Snehasish Dey, Ruma Sen
To solve the environmental problems the choice of Renewable energy has become an important. The development in this field can improve energy efficiency and reduce greenhouse effect. this paper summarizes the renewable energy development situation, of the different country. The development trend of emerging renewable energy have been analyzed. In order to confirm that the development of renewable energy sources, it is necessary to modified energy market and also necessary to maintain the rationality of policy formulation. Proper education system and awareness on renewable energy helps the energy market in case of development. From this study it is found that a considerable experiment is going on renewable energy. This paper has established an idea about different renewable energy application, their development in different countries in the field of application and their solution.
{"title":"Review on the development scenario of renewable energy in different country","authors":"Subhodeep Paul, Tathagata Dey, P. Saha, Snehasish Dey, Ruma Sen","doi":"10.1109/iemre52042.2021.9386748","DOIUrl":"https://doi.org/10.1109/iemre52042.2021.9386748","url":null,"abstract":"To solve the environmental problems the choice of Renewable energy has become an important. The development in this field can improve energy efficiency and reduce greenhouse effect. this paper summarizes the renewable energy development situation, of the different country. The development trend of emerging renewable energy have been analyzed. In order to confirm that the development of renewable energy sources, it is necessary to modified energy market and also necessary to maintain the rationality of policy formulation. Proper education system and awareness on renewable energy helps the energy market in case of development. From this study it is found that a considerable experiment is going on renewable energy. This paper has established an idea about different renewable energy application, their development in different countries in the field of application and their solution.","PeriodicalId":202287,"journal":{"name":"2021 Innovations in Energy Management and Renewable Resources(52042)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125076844","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 : 2021-02-05DOI: 10.1109/IEMRE52042.2021.9386850
Gourab Adhikari, S. Halder, Sripatna Banerjee, S. S. Chaudhuri
Remote sensing is rightly described as an activity of recording/ observing/ perceiving (sensing) objects or events that are located at far away (remote) places. In remote sensing, the sensors are not in direct physical contact with the objects or events that are being observed. The information to be sensed needs a physical carrier (say, microwave) to travel from objects/events to the sensing device through an intervening medium (clouds, water vapour, air). Normally, the electromagnetic wave is used as an information carrier. The output of a remote sensing system is usually an image (bi-spectral (grayscale)/trispectral (RGB)/ hyperspectral (many bands)) representing the scene which is being observed. Further steps of image analysis and interpretation(visual/machine) is required in order to extract useful information from the recorded image. In general sense, the human visual system is a classic example of a remote sensing system. Data in the form of 2-D images which are mapped from optical remote sensing, after going through a series of processing steps, is ready for human interpretation and can be used for several applications like mapping of land cover, classification of various crops, in weather forecasting and monitoring, etc. However, the problems of constant cloud coverage and other atmospheric disturbances dominantly persist in optical images that often lead to erroneous data interpretation. So, in order to correctly interpret the mapped mages from satellite or aeroplane platforms, we have to rely on the data received from synthetic aperture radar (SAR) that has this unique capability to operate nearly under all weather conditions. Also, SAR imaging used by space-crafts is advantageous over any other method of earth feature mapping (i.e. optical, thermal) as it uses energy harnessed from its on-board solar panels to recharge its batteries and in turn generate the microwave bursts of energy, which it then transmits towards the surface of the earth. The primary aim of this paper is to illustrate the crucial point of differences between optical and radar remote sensing and how a real aperture radar (RAR) imaging technique differs from its counterpart i.e. synthetic aperture radar (SAR) in terms of range, azimuth resolution. We have also discussed as to how we can conceptualize a SAR antenna using the properties of RAR.
{"title":"An Effective Use of Synthetic Aperture Radar Imaging Technique Over Optical Remote Sensing and Real Aperture Radar for Mapping of Earth Surface Features","authors":"Gourab Adhikari, S. Halder, Sripatna Banerjee, S. S. Chaudhuri","doi":"10.1109/IEMRE52042.2021.9386850","DOIUrl":"https://doi.org/10.1109/IEMRE52042.2021.9386850","url":null,"abstract":"Remote sensing is rightly described as an activity of recording/ observing/ perceiving (sensing) objects or events that are located at far away (remote) places. In remote sensing, the sensors are not in direct physical contact with the objects or events that are being observed. The information to be sensed needs a physical carrier (say, microwave) to travel from objects/events to the sensing device through an intervening medium (clouds, water vapour, air). Normally, the electromagnetic wave is used as an information carrier. The output of a remote sensing system is usually an image (bi-spectral (grayscale)/trispectral (RGB)/ hyperspectral (many bands)) representing the scene which is being observed. Further steps of image analysis and interpretation(visual/machine) is required in order to extract useful information from the recorded image. In general sense, the human visual system is a classic example of a remote sensing system. Data in the form of 2-D images which are mapped from optical remote sensing, after going through a series of processing steps, is ready for human interpretation and can be used for several applications like mapping of land cover, classification of various crops, in weather forecasting and monitoring, etc. However, the problems of constant cloud coverage and other atmospheric disturbances dominantly persist in optical images that often lead to erroneous data interpretation. So, in order to correctly interpret the mapped mages from satellite or aeroplane platforms, we have to rely on the data received from synthetic aperture radar (SAR) that has this unique capability to operate nearly under all weather conditions. Also, SAR imaging used by space-crafts is advantageous over any other method of earth feature mapping (i.e. optical, thermal) as it uses energy harnessed from its on-board solar panels to recharge its batteries and in turn generate the microwave bursts of energy, which it then transmits towards the surface of the earth. The primary aim of this paper is to illustrate the crucial point of differences between optical and radar remote sensing and how a real aperture radar (RAR) imaging technique differs from its counterpart i.e. synthetic aperture radar (SAR) in terms of range, azimuth resolution. We have also discussed as to how we can conceptualize a SAR antenna using the properties of RAR.","PeriodicalId":202287,"journal":{"name":"2021 Innovations in Energy Management and Renewable Resources(52042)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122046627","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 : 2021-02-05DOI: 10.1109/IEMRE52042.2021.9386824
R. Podder, R. K. Barai
The Internet of Things (IoT) is one of the growing digital applications in modern times. With the increase of the application of IoT in the fields of networked mobile robotics, Smart Grid, etc., the concern about the security protocols also rises along with it. Cybersecurity is one of the most important network security protocols for the safety of IoT-enabled devices as all the devices are connected and inter-exchanging various data over the internet. Various encryption algorithms for securing data in cybersecurity management are already in existence. RSA, ECC, and other existing encryption algorithms are frequently used in various fields of IoT applications such, however, they have many shortcomings. Among the existing algorithm, AES is one of the best algorithms because it can provide an excellent level of security and its encryption speed is much faster than others. But AES is vulnerable to Key Recovery Attack. In order to overcome this shortcoming and to provide a more secured security protocol, Hybrid Encryption Algorithm (HEA) has been introduced in this paper and implemented in an ESP32 based IoT-enabled mobile robot. The HEA consist of base64 and AES, which is double-layered encryption for data security. The level of security is much higher than the commonly used encryption algorithm. The complexity and runtime are less than other encryption topology. The proposed technique has been computed in ESP32 and the performance was observed to be much better in terms of security level, complexity, execution time, and power consumption of the device.
{"title":"Hybrid Encryption Algorithm for the Data Security of ESP32 based IoT-enabled Robots","authors":"R. Podder, R. K. Barai","doi":"10.1109/IEMRE52042.2021.9386824","DOIUrl":"https://doi.org/10.1109/IEMRE52042.2021.9386824","url":null,"abstract":"The Internet of Things (IoT) is one of the growing digital applications in modern times. With the increase of the application of IoT in the fields of networked mobile robotics, Smart Grid, etc., the concern about the security protocols also rises along with it. Cybersecurity is one of the most important network security protocols for the safety of IoT-enabled devices as all the devices are connected and inter-exchanging various data over the internet. Various encryption algorithms for securing data in cybersecurity management are already in existence. RSA, ECC, and other existing encryption algorithms are frequently used in various fields of IoT applications such, however, they have many shortcomings. Among the existing algorithm, AES is one of the best algorithms because it can provide an excellent level of security and its encryption speed is much faster than others. But AES is vulnerable to Key Recovery Attack. In order to overcome this shortcoming and to provide a more secured security protocol, Hybrid Encryption Algorithm (HEA) has been introduced in this paper and implemented in an ESP32 based IoT-enabled mobile robot. The HEA consist of base64 and AES, which is double-layered encryption for data security. The level of security is much higher than the commonly used encryption algorithm. The complexity and runtime are less than other encryption topology. The proposed technique has been computed in ESP32 and the performance was observed to be much better in terms of security level, complexity, execution time, and power consumption of the device.","PeriodicalId":202287,"journal":{"name":"2021 Innovations in Energy Management and Renewable Resources(52042)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116880810","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 : 2021-02-05DOI: 10.1109/IEMRE52042.2021.9386731
D. Mukherjee, Sandip Roy, R. Bose, Haraprasad Mondal
An atmosphere of virtualization allows green data-center on it which is such an idea that has a significant part on the energy potency of data-center and server. For the augmentation of the potency of the data-center, an eminent and fruitful method implemented, is via virtualization. It is constituted for making a sole part of hardware operation like several parts, and such mechanization is able to assist to reduce power as well as expenditure of energy. We have found that there is the presence of intricacy of the data center. Besides, profuse servers result in such issues that inflate exertion of energy regarding power as well as cooling. It is nothing but server virtualization that is integrated with amalgamation is able to assist data-center controllers in terms of potency and expense factors. This research allows us to establish a business profit to make the expense of server power as well as cooling reasonable for more than three years. This is the evidence of the mechanization being fruitful for curtailing costs as well as diminishing consumption of power, fabricating a data-center which is energy potent.
{"title":"Potency of Virtualization Technology for Getting Energy Potent Data Center","authors":"D. Mukherjee, Sandip Roy, R. Bose, Haraprasad Mondal","doi":"10.1109/IEMRE52042.2021.9386731","DOIUrl":"https://doi.org/10.1109/IEMRE52042.2021.9386731","url":null,"abstract":"An atmosphere of virtualization allows green data-center on it which is such an idea that has a significant part on the energy potency of data-center and server. For the augmentation of the potency of the data-center, an eminent and fruitful method implemented, is via virtualization. It is constituted for making a sole part of hardware operation like several parts, and such mechanization is able to assist to reduce power as well as expenditure of energy. We have found that there is the presence of intricacy of the data center. Besides, profuse servers result in such issues that inflate exertion of energy regarding power as well as cooling. It is nothing but server virtualization that is integrated with amalgamation is able to assist data-center controllers in terms of potency and expense factors. This research allows us to establish a business profit to make the expense of server power as well as cooling reasonable for more than three years. This is the evidence of the mechanization being fruitful for curtailing costs as well as diminishing consumption of power, fabricating a data-center which is energy potent.","PeriodicalId":202287,"journal":{"name":"2021 Innovations in Energy Management and Renewable Resources(52042)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126816592","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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