Pub Date : 2021-12-01DOI: 10.1109/iSES52644.2021.00045
S. Sreeparvathy, Rachana George, Rose Mary Kuruvithadam, S. Nalesh
Approximate computing is a computational model targeted at high speed, low power execution of error-resilient applications. In this paper, we design and implement the RTL model of four variants of $8times 8$ booth and modified booth (Radix2) multipliers using 2 different designs of approximate 4:2 compressors. Matlab models of the variants are implemented and compared with the RTL models based on three quality metrics namely mean error distance (MED), mean relative error distance (MRED), and normalized mean error distance (NMED). RTL models of the multipliers are implemented using Verilog and synthesized using Xilinx Zynq-7000 FPGA from Xilinx as the target device. The different variants are compared in terms of the quality metrics, resource utilization, delay and power dissipation. The comparison shows that our implementation gives similar performance in terms of delay and resource utilization with lower error rate as that of state-of-the-art implementations.
{"title":"Fast Booth Multipliers Using Approximate 4:2 Compressors","authors":"S. Sreeparvathy, Rachana George, Rose Mary Kuruvithadam, S. Nalesh","doi":"10.1109/iSES52644.2021.00045","DOIUrl":"https://doi.org/10.1109/iSES52644.2021.00045","url":null,"abstract":"Approximate computing is a computational model targeted at high speed, low power execution of error-resilient applications. In this paper, we design and implement the RTL model of four variants of $8times 8$ booth and modified booth (Radix2) multipliers using 2 different designs of approximate 4:2 compressors. Matlab models of the variants are implemented and compared with the RTL models based on three quality metrics namely mean error distance (MED), mean relative error distance (MRED), and normalized mean error distance (NMED). RTL models of the multipliers are implemented using Verilog and synthesized using Xilinx Zynq-7000 FPGA from Xilinx as the target device. The different variants are compared in terms of the quality metrics, resource utilization, delay and power dissipation. The comparison shows that our implementation gives similar performance in terms of delay and resource utilization with lower error rate as that of state-of-the-art implementations.","PeriodicalId":293167,"journal":{"name":"2021 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134349901","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 : 2021-12-01DOI: 10.1109/iSES52644.2021.00072
Pranjal Patel, Shriram Sharma, Pritesh Sutrakar, H. Kumar, D. Singh, Menka Yadav
In today’s world, there is rapid change in lifestyle and the workload is also increasing. There is a high need to create a tool which will monitor the physical and mental health of a person during daily life. Stress and fatigue level of an individual can be monitored by recording parameters like Temperature, Heart Rate, ECG, and Galvanic Skin Response of hand or foot (GSR) over a period of time. In this paper we have proposed a machine, which will help in attendancei marking of students and also help in the health checkup process, by recording health parameters from connected sensors (temperature, heart rate, SPO2) and also capture front face videos, and then take out features and analyse the face emotions to help us to detect stress or any signs of depression in the student.
{"title":"Smart Attendance Cum Health Check Up Machine For Students","authors":"Pranjal Patel, Shriram Sharma, Pritesh Sutrakar, H. Kumar, D. Singh, Menka Yadav","doi":"10.1109/iSES52644.2021.00072","DOIUrl":"https://doi.org/10.1109/iSES52644.2021.00072","url":null,"abstract":"In today’s world, there is rapid change in lifestyle and the workload is also increasing. There is a high need to create a tool which will monitor the physical and mental health of a person during daily life. Stress and fatigue level of an individual can be monitored by recording parameters like Temperature, Heart Rate, ECG, and Galvanic Skin Response of hand or foot (GSR) over a period of time. In this paper we have proposed a machine, which will help in attendancei marking of students and also help in the health checkup process, by recording health parameters from connected sensors (temperature, heart rate, SPO2) and also capture front face videos, and then take out features and analyse the face emotions to help us to detect stress or any signs of depression in the student.","PeriodicalId":293167,"journal":{"name":"2021 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124882202","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 : 2021-12-01DOI: 10.1109/iSES52644.2021.00026
Riyaz Ahmad, A. Joshi, D. Boolchandani, T. Varma
The paper presents a novel design potentiostat and read-out amplifier circuits for glucose sensing. The performance of proposed design is evaluated by using a power supply of 1.5 V in Semi-Conductor Laboratory (SCL) 0.18 $mu$m CMOS technology. There are two main advantages of the proposed design. First is reference voltage required across sensor reference electrode and working electrode, which is supplied by MOS transistors threshold voltage and the second is multioutput transconductance amplifier (MTA) programmable gain which is enhanced by transconductance (gm) boosting technique. It is useful to readout small magnitude sensor current. The proposed design is found suitable for the glucose concentration measurement from 50 mg/dl to 225 mydl. It is observed that the linear range is found for the sensor current from 40 nA to 210 nA i.e. electrode resistance from 6 M$Omega$ to 30 M$Omega$ approximately. The maximum power consumption of the proposed design is 124 $mu$Watt.
本文设计了一种葡萄糖传感用的恒电位器和读出放大电路。采用半导体实验室(SCL) 0.18 $mu$ m CMOS技术的1.5 V电源对所提出的设计进行了性能评估。所提出的设计有两个主要优点。首先是传感器参考电极与工作电极之间所需的基准电压，该电压由MOS晶体管的阈值电压提供;其次是多输出跨导放大器(MTA)的可编程增益，该增益通过跨导升压技术增强。读出小幅度传感器电流是有用的。本设计适用于50 mg/dl至225 mydl的葡萄糖浓度测量。可以观察到，传感器电流的线性范围从40 nA到210 nA，即电极电阻大约从6 M $Omega$到30 M $Omega$。所提出的设计的最大功耗为124 $mu$瓦特。
{"title":"Design of potentiostat and current mode read-out amplifier for glucose sensing","authors":"Riyaz Ahmad, A. Joshi, D. Boolchandani, T. Varma","doi":"10.1109/iSES52644.2021.00026","DOIUrl":"https://doi.org/10.1109/iSES52644.2021.00026","url":null,"abstract":"The paper presents a novel design potentiostat and read-out amplifier circuits for glucose sensing. The performance of proposed design is evaluated by using a power supply of 1.5 V in Semi-Conductor Laboratory (SCL) 0.18 $mu$m CMOS technology. There are two main advantages of the proposed design. First is reference voltage required across sensor reference electrode and working electrode, which is supplied by MOS transistors threshold voltage and the second is multioutput transconductance amplifier (MTA) programmable gain which is enhanced by transconductance (gm) boosting technique. It is useful to readout small magnitude sensor current. The proposed design is found suitable for the glucose concentration measurement from 50 mg/dl to 225 mydl. It is observed that the linear range is found for the sensor current from 40 nA to 210 nA i.e. electrode resistance from 6 M$Omega$ to 30 M$Omega$ approximately. The maximum power consumption of the proposed design is 124 $mu$Watt.","PeriodicalId":293167,"journal":{"name":"2021 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127960156","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 : 2021-12-01DOI: 10.1109/iSES52644.2021.00055
P. Ganguly, Amlan Chakrabarti, Debasri Saha
Fog computing is a system framework, distributed in nature and reduces latency in data communication between the Internet of Things (IoT) and cloud networks. The present state of the art focuses on the data communication and incorporation of blockchain in fog networks. Very few researches are there on the creation of fog networks and there exists no systematic study to estimate fog resources for the IoT sensor traffic. In this paper, we have theoretically modelled the requirement of fog resources for the sensor traffic in the IoT system, in terms of System Utility estimation using the Queueing theory model. We have embedded the miner nodes of the blockchain framework with the fog layer to make the whole network transparent to all the users. Here, we have performed an experimental analysis based on the proposed framework(fog miner) to determine the system response time and performed simulation using the IFogSim simulator to estimate the energy consumption of the framework. We also estimate the influence of sensor nodes addition on the system utility for the proposed framework. The experimental and theoretical analysis emphasises the scalability issues of the framework and it gives better performance than the present state of the art research.
{"title":"“Fog-Miner” Based Resource Aware scalable Framework Development in IoT platform","authors":"P. Ganguly, Amlan Chakrabarti, Debasri Saha","doi":"10.1109/iSES52644.2021.00055","DOIUrl":"https://doi.org/10.1109/iSES52644.2021.00055","url":null,"abstract":"Fog computing is a system framework, distributed in nature and reduces latency in data communication between the Internet of Things (IoT) and cloud networks. The present state of the art focuses on the data communication and incorporation of blockchain in fog networks. Very few researches are there on the creation of fog networks and there exists no systematic study to estimate fog resources for the IoT sensor traffic. In this paper, we have theoretically modelled the requirement of fog resources for the sensor traffic in the IoT system, in terms of System Utility estimation using the Queueing theory model. We have embedded the miner nodes of the blockchain framework with the fog layer to make the whole network transparent to all the users. Here, we have performed an experimental analysis based on the proposed framework(fog miner) to determine the system response time and performed simulation using the IFogSim simulator to estimate the energy consumption of the framework. We also estimate the influence of sensor nodes addition on the system utility for the proposed framework. The experimental and theoretical analysis emphasises the scalability issues of the framework and it gives better performance than the present state of the art research.","PeriodicalId":293167,"journal":{"name":"2021 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128920076","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 : 2021-12-01DOI: 10.1109/iSES52644.2021.00071
Sukrutha L. T. Vangipuram, S. Mohanty, E. Kougianos
This is a demo abstract based on our previously published article [1]. Some of the significant challenges of central cloud systems and the blockchain include lack of scalability, security risks and higher energy consumption. As a solution, an application with an off-chain Interplanetary File System (IPFS) distributed storage system is presented as CoviChain. The IPFS is used for storing and hashing different data formats of various sizes into immutable links. The links are passed through smart contracts of the Ethereum blockchain to provide a double hash guarantee, along with user access permissions.
{"title":"CoviChain: A Blockchain based Distributed Framework for Healthcare Cyber-Physical Systems","authors":"Sukrutha L. T. Vangipuram, S. Mohanty, E. Kougianos","doi":"10.1109/iSES52644.2021.00071","DOIUrl":"https://doi.org/10.1109/iSES52644.2021.00071","url":null,"abstract":"This is a demo abstract based on our previously published article [1]. Some of the significant challenges of central cloud systems and the blockchain include lack of scalability, security risks and higher energy consumption. As a solution, an application with an off-chain Interplanetary File System (IPFS) distributed storage system is presented as CoviChain. The IPFS is used for storing and hashing different data formats of various sizes into immutable links. The links are passed through smart contracts of the Ethereum blockchain to provide a double hash guarantee, along with user access permissions.","PeriodicalId":293167,"journal":{"name":"2021 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129299372","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 : 2021-12-01DOI: 10.1109/iSES52644.2021.00063
Mutra Venkata Sai Girish, Azaad Pallam, P. Divyashree, Agraj Khare, Priyanka Dwivedi
Smart healthcare is an important and emerging sector which gained a lot of significance with advanced technology. Continuous monitoring and timely reporting of health conditions is a key factor for diagnosing as well as treating the disease at early stages. This is accomplished with the development of IoT (Internet of Things) enabled smart healthcare assistance. Once medical data is stored in cloud it allows remote access and data sharing. The intelligent analysis is performed on the vital signals and communicated through smart Apps. This gives an end-to-end solution for smart healthcare. The main impact of this research is that patients can use the developed smart App for real-time health monitoring with future predictions via their mobile phones. This paper presents smart system with integration of IoT, Cloud Computing (CC) and Machine Learning (ML) techniques for early prediction of health abnormality.
{"title":"IoT Enabled Smart Healthcare Assistance for Early Prediction of Health Abnormality","authors":"Mutra Venkata Sai Girish, Azaad Pallam, P. Divyashree, Agraj Khare, Priyanka Dwivedi","doi":"10.1109/iSES52644.2021.00063","DOIUrl":"https://doi.org/10.1109/iSES52644.2021.00063","url":null,"abstract":"Smart healthcare is an important and emerging sector which gained a lot of significance with advanced technology. Continuous monitoring and timely reporting of health conditions is a key factor for diagnosing as well as treating the disease at early stages. This is accomplished with the development of IoT (Internet of Things) enabled smart healthcare assistance. Once medical data is stored in cloud it allows remote access and data sharing. The intelligent analysis is performed on the vital signals and communicated through smart Apps. This gives an end-to-end solution for smart healthcare. The main impact of this research is that patients can use the developed smart App for real-time health monitoring with future predictions via their mobile phones. This paper presents smart system with integration of IoT, Cloud Computing (CC) and Machine Learning (ML) techniques for early prediction of health abnormality.","PeriodicalId":293167,"journal":{"name":"2021 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123418831","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 : 2021-12-01DOI: 10.1109/iSES52644.2021.00046
U. A. Kumar, Goli Naga Sandesh, Dhoti Ojusteja, Syed Ershad Ahmed
Inexact computation is used extensively in image processing applications especially in compact devices where battery (power consumption) and size (area) must be used efficiently. Inexact computation uses accuracy as a design specification to enhance our need for speed and performance with limited resources and time. This paper introduces a novel multiplier that aims to fulfill this need of high performance with minimal hardware. An error correcting module is introduced to improve the accuracy of the proposed multiplier. Experimental results are carried out resulting in an improvement of 30% power consumption with a reduction of 36% area when compared against existing multipliers with acceptable accuracy. A huge improvement in delay can also be observed as a direct consequence of the multiplier design structure.
{"title":"Lower part OR based Approximate Multiplier for Error Resilient Applications","authors":"U. A. Kumar, Goli Naga Sandesh, Dhoti Ojusteja, Syed Ershad Ahmed","doi":"10.1109/iSES52644.2021.00046","DOIUrl":"https://doi.org/10.1109/iSES52644.2021.00046","url":null,"abstract":"Inexact computation is used extensively in image processing applications especially in compact devices where battery (power consumption) and size (area) must be used efficiently. Inexact computation uses accuracy as a design specification to enhance our need for speed and performance with limited resources and time. This paper introduces a novel multiplier that aims to fulfill this need of high performance with minimal hardware. An error correcting module is introduced to improve the accuracy of the proposed multiplier. Experimental results are carried out resulting in an improvement of 30% power consumption with a reduction of 36% area when compared against existing multipliers with acceptable accuracy. A huge improvement in delay can also be observed as a direct consequence of the multiplier design structure.","PeriodicalId":293167,"journal":{"name":"2021 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124281946","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 : 2021-12-01DOI: 10.1109/iSES52644.2021.00076
Divyang Sureshbhai Jadav, Mukund Madhav Tripathi
Virtual Reality (VR) and Artificial Intelligence (AI) are growing interests in research due to rapid advancements in technology. Fast computation and optimum power requirements are predicted to be vital elements for future technology devices. Field Programmable Gate Arrays (FPGAs) can work as a key element to fulfill this requirement. Also, it’s been a new research area a decade back to simulate touch, smell, and taste. The mathematical model for sensory perception has been developed for touch, but not for Nose (smell) and tongue (taste). The field of Haptics is related to simulating the touch. Touch is the most prominent sense to perceive the real world. A sense of touch gives the feeling of the physical properties of the object. Over the last decades, many theories have been put forward to simulate the touch artificially in computers to feel the virtual world (objects) physical properties. The evolvement of a cost-effective real-time One Degree of Freedom Haptic device with minimum hardware resources is aimed at this paper. The system is a build-up of three phases: System Hardware, System Software, and incorporating both in FPGA as a complete closed-loop solution. The feel of touch-force computation and rendering of graphics is simulated on a single FPGA board.
{"title":"Implementation of Real-Time One Degree of Freedom Haptic Device Using FPGA","authors":"Divyang Sureshbhai Jadav, Mukund Madhav Tripathi","doi":"10.1109/iSES52644.2021.00076","DOIUrl":"https://doi.org/10.1109/iSES52644.2021.00076","url":null,"abstract":"Virtual Reality (VR) and Artificial Intelligence (AI) are growing interests in research due to rapid advancements in technology. Fast computation and optimum power requirements are predicted to be vital elements for future technology devices. Field Programmable Gate Arrays (FPGAs) can work as a key element to fulfill this requirement. Also, it’s been a new research area a decade back to simulate touch, smell, and taste. The mathematical model for sensory perception has been developed for touch, but not for Nose (smell) and tongue (taste). The field of Haptics is related to simulating the touch. Touch is the most prominent sense to perceive the real world. A sense of touch gives the feeling of the physical properties of the object. Over the last decades, many theories have been put forward to simulate the touch artificially in computers to feel the virtual world (objects) physical properties. The evolvement of a cost-effective real-time One Degree of Freedom Haptic device with minimum hardware resources is aimed at this paper. The system is a build-up of three phases: System Hardware, System Software, and incorporating both in FPGA as a complete closed-loop solution. The feel of touch-force computation and rendering of graphics is simulated on a single FPGA board.","PeriodicalId":293167,"journal":{"name":"2021 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124532307","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 : 2021-12-01DOI: 10.1109/iSES52644.2021.00081
M. Challa, Abhinav Kumar, Linga Reddy Cenkeramaddi
The current work presents a novel approach to signal processing and face recognition based on 60 GHz mmWave RADAR imaging. Machine learning algorithms such as Convolutional Auto-Encoder and Random Forest algorithm are employed to implement the face recognition scheme. The work presents an approach towards computing and processing higher dimensional RADAR imaging information through extreme feature extraction followed by simple Random Forest, thus enabling a computationally inexpensive algorithm for a mobile friendly implementation.
{"title":"Face Recognition using mmWave RADAR imaging","authors":"M. Challa, Abhinav Kumar, Linga Reddy Cenkeramaddi","doi":"10.1109/iSES52644.2021.00081","DOIUrl":"https://doi.org/10.1109/iSES52644.2021.00081","url":null,"abstract":"The current work presents a novel approach to signal processing and face recognition based on 60 GHz mmWave RADAR imaging. Machine learning algorithms such as Convolutional Auto-Encoder and Random Forest algorithm are employed to implement the face recognition scheme. The work presents an approach towards computing and processing higher dimensional RADAR imaging information through extreme feature extraction followed by simple Random Forest, thus enabling a computationally inexpensive algorithm for a mobile friendly implementation.","PeriodicalId":293167,"journal":{"name":"2021 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133207169","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 : 2021-12-01DOI: 10.1109/iSES52644.2021.00066
Sukrutha L. T. Vangipuram, S. Mohanty, E. Kougianos, C. Ray
In this paper, we examine the challenges of groundwater data flow management due to institutional barriers and constraints through technology. We load the groundwater statistics from end-systems towards Distributed Data Storage (DDS) and the blockchain (BC), implementing a dual hashing procedure through Infura gateways and smart contracts. The smart contracts, logical code, and functions give control over access and file sharing. With data secured through crypto puzzles, the quality and integrity are increased while simultaneously preventing higher fee charges for storage on BC with reduced cost and time.
{"title":"G-DaM: A Blockchain based Distributed Robust Framework for Ground Water Data Management","authors":"Sukrutha L. T. Vangipuram, S. Mohanty, E. Kougianos, C. Ray","doi":"10.1109/iSES52644.2021.00066","DOIUrl":"https://doi.org/10.1109/iSES52644.2021.00066","url":null,"abstract":"In this paper, we examine the challenges of groundwater data flow management due to institutional barriers and constraints through technology. We load the groundwater statistics from end-systems towards Distributed Data Storage (DDS) and the blockchain (BC), implementing a dual hashing procedure through Infura gateways and smart contracts. The smart contracts, logical code, and functions give control over access and file sharing. With data secured through crypto puzzles, the quality and integrity are increased while simultaneously preventing higher fee charges for storage on BC with reduced cost and time.","PeriodicalId":293167,"journal":{"name":"2021 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134107674","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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