Pub Date : 2021-12-17DOI: 10.1109/ICAC3N53548.2021.9725593
P. K. Maduri, Preeti Dhiman, Shalini Rathour, Eeshaan Dutt, Aman Gupta
In the era of fast-growing technology, automation in public transportation is gaining popularity worldwide. License plate recognition is a technology that is being utilized efficiently these days. On comparing with the past scenario, we realize there weren’t many roles of technology in transport surveillance. In its initial phase, this technology was majorly used by police and the army for recognition and filtering the stolen or blacklisted vehicles out of traffic. Day by day this technology came under implementation and got advanced with rapid developments. In the present scenario, this technology in public transportation plays a vital role by recognizing whether the vehicle is registered or licensed in e-challans by monitoring the vehicle which came under over speed and traffic rules violations. This technology can be implemented either on the still images of the vehicle or real-time detection. The proposed model focuses on the real-time execution of the license plate as well as speed detection. Methodology of the model invokes the usage of the concept of transfer learning and the model being used is MobileNetv2-SSD for recognition of license plate, further followed by implementation of package namely easyOCR, to recognize the alpha-numeric contents of license plate. For speed detection, the ensemble learning technique is being utilized, which invokes the usage of computer visualization, and its working is very much similar to machine learning.
{"title":"Smart Eye of Traffic Management & Control System","authors":"P. K. Maduri, Preeti Dhiman, Shalini Rathour, Eeshaan Dutt, Aman Gupta","doi":"10.1109/ICAC3N53548.2021.9725593","DOIUrl":"https://doi.org/10.1109/ICAC3N53548.2021.9725593","url":null,"abstract":"In the era of fast-growing technology, automation in public transportation is gaining popularity worldwide. License plate recognition is a technology that is being utilized efficiently these days. On comparing with the past scenario, we realize there weren’t many roles of technology in transport surveillance. In its initial phase, this technology was majorly used by police and the army for recognition and filtering the stolen or blacklisted vehicles out of traffic. Day by day this technology came under implementation and got advanced with rapid developments. In the present scenario, this technology in public transportation plays a vital role by recognizing whether the vehicle is registered or licensed in e-challans by monitoring the vehicle which came under over speed and traffic rules violations. This technology can be implemented either on the still images of the vehicle or real-time detection. The proposed model focuses on the real-time execution of the license plate as well as speed detection. Methodology of the model invokes the usage of the concept of transfer learning and the model being used is MobileNetv2-SSD for recognition of license plate, further followed by implementation of package namely easyOCR, to recognize the alpha-numeric contents of license plate. For speed detection, the ensemble learning technique is being utilized, which invokes the usage of computer visualization, and its working is very much similar to machine learning.","PeriodicalId":105548,"journal":{"name":"2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"340 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115264139","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 : 2021-12-17DOI: 10.1109/ICAC3N53548.2021.9725757
T. Prasath, A. Rama Lakshm, G. Vishnuvarthanan, M. Yosika, T. H. Rathnamma, N. Vigneshwari
The Home Automation System is getting progressively mainstream because of its various benefits. The Arduino Nano (main) controller) is responsible for processing and transmitting the entry records. The Internet of Things (IoT) provides a massive storage facility for data series from sensors and domestic home appliances. An Android utility has been developed to reveal the house's surroundings and remotely manipulate the house's gadgets via the use of a button or voice. This mission's speaker-independent popular machine enables physically challenged humans to manipulate electrical home equipment without moving. All records are saved on Firebase and can be retrieved using the utility at any time. A faceted view of a prototype version with glazing and four domestic regions is provided. As a result of this investigation, the after-effects on the clients' well-being, security, insight, and comfort are promising. Results: Several sensors and actuators were linked to the Arduino, which updated the data for the IoT worker. Workstations/PCs can be used to validate the sensor data. Voice commands can be used to control home appliances effectively and productively.
{"title":"Voice Recognised Home Automation System Using IoT-Physically Challenged People","authors":"T. Prasath, A. Rama Lakshm, G. Vishnuvarthanan, M. Yosika, T. H. Rathnamma, N. Vigneshwari","doi":"10.1109/ICAC3N53548.2021.9725757","DOIUrl":"https://doi.org/10.1109/ICAC3N53548.2021.9725757","url":null,"abstract":"The Home Automation System is getting progressively mainstream because of its various benefits. The Arduino Nano (main) controller) is responsible for processing and transmitting the entry records. The Internet of Things (IoT) provides a massive storage facility for data series from sensors and domestic home appliances. An Android utility has been developed to reveal the house's surroundings and remotely manipulate the house's gadgets via the use of a button or voice. This mission's speaker-independent popular machine enables physically challenged humans to manipulate electrical home equipment without moving. All records are saved on Firebase and can be retrieved using the utility at any time. A faceted view of a prototype version with glazing and four domestic regions is provided. As a result of this investigation, the after-effects on the clients' well-being, security, insight, and comfort are promising. Results: Several sensors and actuators were linked to the Arduino, which updated the data for the IoT worker. Workstations/PCs can be used to validate the sensor data. Voice commands can be used to control home appliances effectively and productively.","PeriodicalId":105548,"journal":{"name":"2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115657432","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 : 2021-12-17DOI: 10.1109/ICAC3N53548.2021.9725497
P. S. K. Reddy, D. Govardhan, D. Anitha, Praveen Kumar Alguri
In recent years the usage of graphene nanoplates for aeronautical applications is more because of its superior properties. The graphene nanoplates are used in aeronautical applications to overcome the problems like lightning strike and ice accumulation and other structural impact loads. The addition of graphene nanoplates to the aircraft wing structure enhance the anti-corrosion properties of the structure. Aircraft wing is subjected to tensile and compressive loads during flight and structure can fail before the yield point because of the masses performing on the wing structure. In this current project the graphene nanoplates are incorporated on to the aircraft wing structre to enhance the structural behaviour of the wing arrangement. The wing structure is modelled using catia where ribs and spars are made of different composites and graphene nanoplates are incorporated on to the skin of aircraft wing and results such as deformation, stress, strain, and other mechanical properties are plotted.
{"title":"An Implemetation of Embeded Nanopltes Analysis using Matlab Tool","authors":"P. S. K. Reddy, D. Govardhan, D. Anitha, Praveen Kumar Alguri","doi":"10.1109/ICAC3N53548.2021.9725497","DOIUrl":"https://doi.org/10.1109/ICAC3N53548.2021.9725497","url":null,"abstract":"In recent years the usage of graphene nanoplates for aeronautical applications is more because of its superior properties. The graphene nanoplates are used in aeronautical applications to overcome the problems like lightning strike and ice accumulation and other structural impact loads. The addition of graphene nanoplates to the aircraft wing structure enhance the anti-corrosion properties of the structure. Aircraft wing is subjected to tensile and compressive loads during flight and structure can fail before the yield point because of the masses performing on the wing structure. In this current project the graphene nanoplates are incorporated on to the aircraft wing structre to enhance the structural behaviour of the wing arrangement. The wing structure is modelled using catia where ribs and spars are made of different composites and graphene nanoplates are incorporated on to the skin of aircraft wing and results such as deformation, stress, strain, and other mechanical properties are plotted.","PeriodicalId":105548,"journal":{"name":"2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123058104","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 : 2021-12-17DOI: 10.1109/ICAC3N53548.2021.9725362
R. Malhotra, Abhinav Thapper, Aditya Kulraj Kunwar, Ashutosh Raturi
Landslides are one of the most severe and pernicious natural phenomena which occur on Earth. They particularly occur in sloped regions where the integrity of the topsoil of the land has been compromised. The reasons for this are multifaceted, depending on the lithography of the region in question. A landslide can be triggered by intense inundation, cloudburst, earthquakes, deforestation, which at times can be a consequence of urbanization, amongst other factors. They have a detrimental effect on the geography, local economy of the region they occur in and cause immense monetary loss as well. There is a need for timely detection of landslides for establishing correct preventive measures and technological advancements, especially in the field of deep learning are being used for the same. In this paper we present an approach based on Convolutional Neural Networks, using median pooling for feature reduction applied on a dataset with highly inclusive features like vegetation index, water-based index, temperature wind speed, precipitation etc. The architecture of the models is discussed and the preprocessing of features is done as well. We finish with a discussion on model performance and possible improvements.
{"title":"Landslide Prediction using CNN with Data Modeling and Feature Reduction using Median Pooling","authors":"R. Malhotra, Abhinav Thapper, Aditya Kulraj Kunwar, Ashutosh Raturi","doi":"10.1109/ICAC3N53548.2021.9725362","DOIUrl":"https://doi.org/10.1109/ICAC3N53548.2021.9725362","url":null,"abstract":"Landslides are one of the most severe and pernicious natural phenomena which occur on Earth. They particularly occur in sloped regions where the integrity of the topsoil of the land has been compromised. The reasons for this are multifaceted, depending on the lithography of the region in question. A landslide can be triggered by intense inundation, cloudburst, earthquakes, deforestation, which at times can be a consequence of urbanization, amongst other factors. They have a detrimental effect on the geography, local economy of the region they occur in and cause immense monetary loss as well. There is a need for timely detection of landslides for establishing correct preventive measures and technological advancements, especially in the field of deep learning are being used for the same. In this paper we present an approach based on Convolutional Neural Networks, using median pooling for feature reduction applied on a dataset with highly inclusive features like vegetation index, water-based index, temperature wind speed, precipitation etc. The architecture of the models is discussed and the preprocessing of features is done as well. We finish with a discussion on model performance and possible improvements.","PeriodicalId":105548,"journal":{"name":"2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120965041","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 : 2021-12-17DOI: 10.1109/ICAC3N53548.2021.9725604
Anirudh L, G. Mishra, Mathan N
This paper mainly describes the design of an LED emergency lamp based on online UPS configuration where when the main power is out, it immediately turns on. The LED is powered by a battery that continues to charge when the main power is turned on. The autonomous LED lamp’s circuit is created and simulated before being manufactured incorporating hardware. The system is designed along with additional features of automation using Arduino and IoT techniques. The ease and flexibility available to consumers is the driving force behind developing a system capable of wireless communication through Bluetooth.
{"title":"Smart Integration of Home Automation and Uninterruptible Power Supply for Low Power Household Appliances","authors":"Anirudh L, G. Mishra, Mathan N","doi":"10.1109/ICAC3N53548.2021.9725604","DOIUrl":"https://doi.org/10.1109/ICAC3N53548.2021.9725604","url":null,"abstract":"This paper mainly describes the design of an LED emergency lamp based on online UPS configuration where when the main power is out, it immediately turns on. The LED is powered by a battery that continues to charge when the main power is turned on. The autonomous LED lamp’s circuit is created and simulated before being manufactured incorporating hardware. The system is designed along with additional features of automation using Arduino and IoT techniques. The ease and flexibility available to consumers is the driving force behind developing a system capable of wireless communication through Bluetooth.","PeriodicalId":105548,"journal":{"name":"2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124980211","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 : 2021-12-17DOI: 10.1109/ICAC3N53548.2021.9725511
Abhay Toppo, Manoj Kumar
Inspired by progress in self-supervised, unsupervised learning for natural language, we analyze whether comparative models can learn helpful representations for pictures. Building a neural network for image classification picture grouping isn’t in every case simple when you have very little information. Lately, there have been a couple of significant advances in this space that have made structure an important model more conceivable without having a huge number of pictures to prepare on. Most prominently, transfer learning tops this rundown. Transfer learning is the act of taking pre-prepared loads from an enormous model prepared on the ImageNet informational index and utilizing those loads as a beginning stage for an alternate informational index. By and large, this is finished by supplanting the last completely associated layer and preparing the model while just refreshing the loads of the direct layers and letting the convolutional layers keep their loads.
{"title":"A Review of Generative Pretraining from Pixels","authors":"Abhay Toppo, Manoj Kumar","doi":"10.1109/ICAC3N53548.2021.9725511","DOIUrl":"https://doi.org/10.1109/ICAC3N53548.2021.9725511","url":null,"abstract":"Inspired by progress in self-supervised, unsupervised learning for natural language, we analyze whether comparative models can learn helpful representations for pictures. Building a neural network for image classification picture grouping isn’t in every case simple when you have very little information. Lately, there have been a couple of significant advances in this space that have made structure an important model more conceivable without having a huge number of pictures to prepare on. Most prominently, transfer learning tops this rundown. Transfer learning is the act of taking pre-prepared loads from an enormous model prepared on the ImageNet informational index and utilizing those loads as a beginning stage for an alternate informational index. By and large, this is finished by supplanting the last completely associated layer and preparing the model while just refreshing the loads of the direct layers and letting the convolutional layers keep their loads.","PeriodicalId":105548,"journal":{"name":"2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125161786","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 : 2021-12-17DOI: 10.1109/ICAC3N53548.2021.9725455
Kumud Sharma, K. M. Baalamurugan
Big Data has become a hot topic of research and has been used in every industry. Healthcare industry has many benefits both in terms of revenue and data. Electronic medical records are used by doctors to record and track the health metrics and information of their patients. An EMR is an Electronic Collection of medical information such as diagnosis, prescriptions, examinations, allergies, immunizations and recovery plans about the health history of a patient. Medical care providers working with a patient can see electronic health records and can use them to make decisions about the patient’s care. As electronic health records have many advantages; the security becomes the main challenge. Different methods that have been used for healthcare data security have been reviewed to make this complex information more secure.We shall present a detailed review of various challenges of big data and present various methods and techniques to secure and protect healthcare records in this paper. This review will provide information on security and privacy strategies and procedures in healthcare to a number of users.
{"title":"A review on Big Data Privacy and Security Techniques for the Healthcare Records","authors":"Kumud Sharma, K. M. Baalamurugan","doi":"10.1109/ICAC3N53548.2021.9725455","DOIUrl":"https://doi.org/10.1109/ICAC3N53548.2021.9725455","url":null,"abstract":"Big Data has become a hot topic of research and has been used in every industry. Healthcare industry has many benefits both in terms of revenue and data. Electronic medical records are used by doctors to record and track the health metrics and information of their patients. An EMR is an Electronic Collection of medical information such as diagnosis, prescriptions, examinations, allergies, immunizations and recovery plans about the health history of a patient. Medical care providers working with a patient can see electronic health records and can use them to make decisions about the patient’s care. As electronic health records have many advantages; the security becomes the main challenge. Different methods that have been used for healthcare data security have been reviewed to make this complex information more secure.We shall present a detailed review of various challenges of big data and present various methods and techniques to secure and protect healthcare records in this paper. This review will provide information on security and privacy strategies and procedures in healthcare to a number of users.","PeriodicalId":105548,"journal":{"name":"2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116036943","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 : 2021-12-17DOI: 10.1109/ICAC3N53548.2021.9725463
M. Dadhich, Shalendra Singh Rao, Renu Sharma, Rajesh Meena
NPA refers to a borrower's asset or account that the bank has classified as second-rate suspicious or lost assets under the RBI's asset classification criteria. The rise in non-performing assets demonstrates the need for provisions, reducing the overall profitability of commercial banks. In addition, a high level of non-performing assets (NPAs) indicates a significant likelihood of many credit evasions, which can affect the profitability and liquidity of banks. As a result, a solid, rule-based, and long-term financial system is critical for the overall progress company. Therefore, its collapse could have negative consequences across numerous segments and domains. The study investigates the current state and the stochastic pattern of non-performing assets (NPAs) and how well public and private sector commercial banks handled their NPAs. Secondary data were collected from various publications of RBI. In terms of independent t-test results, public sector banks have exhibited a consistent upward trend in gross and net NPAs; however, private banks have not kept pace. Furthermore, all commercial banks took a significant step for resolving NPA most efficiently. Due to the competent regulatory guidelines and supervisory aspect, individual banks continually tried to reduce their questionable and lost assets.
{"title":"Analytical Study of Stochastic Trends of Non-Performing Assets of Public and Private Commercial Banks in India","authors":"M. Dadhich, Shalendra Singh Rao, Renu Sharma, Rajesh Meena","doi":"10.1109/ICAC3N53548.2021.9725463","DOIUrl":"https://doi.org/10.1109/ICAC3N53548.2021.9725463","url":null,"abstract":"NPA refers to a borrower's asset or account that the bank has classified as second-rate suspicious or lost assets under the RBI's asset classification criteria. The rise in non-performing assets demonstrates the need for provisions, reducing the overall profitability of commercial banks. In addition, a high level of non-performing assets (NPAs) indicates a significant likelihood of many credit evasions, which can affect the profitability and liquidity of banks. As a result, a solid, rule-based, and long-term financial system is critical for the overall progress company. Therefore, its collapse could have negative consequences across numerous segments and domains. The study investigates the current state and the stochastic pattern of non-performing assets (NPAs) and how well public and private sector commercial banks handled their NPAs. Secondary data were collected from various publications of RBI. In terms of independent t-test results, public sector banks have exhibited a consistent upward trend in gross and net NPAs; however, private banks have not kept pace. Furthermore, all commercial banks took a significant step for resolving NPA most efficiently. Due to the competent regulatory guidelines and supervisory aspect, individual banks continually tried to reduce their questionable and lost assets.","PeriodicalId":105548,"journal":{"name":"2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116043242","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 : 2021-12-17DOI: 10.1109/ICAC3N53548.2021.9725374
S. Kalimuthukumar, G. Vagesvari, P. Thenmozhi, T. GirijaPragathi, N. Vigneshwari
The present study aims to develop the evaluation of Parkinson’s disorder based on changes in speech disorders. So we proposed a diagnostic system based on vocal disorders by detecting the extraction of vocal characteristics (speech). In this study, the subjects that voice signals used to allow the computer to decide whether the person is affected by the disease or not. We have collected the voice sample of affected patients with Parkinson’s disease and subsequently extracted from 1 to 22 Mel’s frequency cepstral coefficient for each patient. Then we compress the frame signals by identifying the average value then, able to identify if the patient is caused by Parkinson’s disease or not. It can be used in the hospital for a preliminary examination of a certain disease that occurs in the central nervous system only under the supervision of a physician in a controlled environment. This method is easy to handle, fast, non-invasive for the patients, and affordable for healthcare professionals. It is used to reduce time and human resource consumption.
{"title":"Early- Detection of Parkinson’s Disease by Patient Voice Modulation Analysis through MFCC Feature Extraction Technique","authors":"S. Kalimuthukumar, G. Vagesvari, P. Thenmozhi, T. GirijaPragathi, N. Vigneshwari","doi":"10.1109/ICAC3N53548.2021.9725374","DOIUrl":"https://doi.org/10.1109/ICAC3N53548.2021.9725374","url":null,"abstract":"The present study aims to develop the evaluation of Parkinson’s disorder based on changes in speech disorders. So we proposed a diagnostic system based on vocal disorders by detecting the extraction of vocal characteristics (speech). In this study, the subjects that voice signals used to allow the computer to decide whether the person is affected by the disease or not. We have collected the voice sample of affected patients with Parkinson’s disease and subsequently extracted from 1 to 22 Mel’s frequency cepstral coefficient for each patient. Then we compress the frame signals by identifying the average value then, able to identify if the patient is caused by Parkinson’s disease or not. It can be used in the hospital for a preliminary examination of a certain disease that occurs in the central nervous system only under the supervision of a physician in a controlled environment. This method is easy to handle, fast, non-invasive for the patients, and affordable for healthcare professionals. It is used to reduce time and human resource consumption.","PeriodicalId":105548,"journal":{"name":"2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122392897","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 : 2021-12-17DOI: 10.1109/ICAC3N53548.2021.9725531
Gaurav Singh, M. Dadhich, Vineet Chouhan, Arvind Sharma
Big data analytics and capabilities (BDA&C) have the potential to transform existing business strategies. Big data analytics technologies and capabilities can help businesses make data-driven decisions that enhance business outcomes. More effective marketing, additional income opportunities, customer personalization, and increased operational efficiency are possible benefits. The present research outlines the impact of the BDA&C on SCM of Indian cement industry. This research uses SEM and Smart-PLS to determine how effective the adoption of BDA&C. An empirical study used a sample of 300 respondents from the Indian cement industry to test five hypotheses using 26 variables in a model. The SEM findings highlight the relative relevance of several variables to boosting the Indian cement supply chain and logistics management. This model demonstrates the understanding of the critical role of big data analytics and capabilities and their interconnections in the supply chain and logistics operation. The study found a significant mediating effect of BDA capabilities on several aspects of sustainable SCM. Advance infrastructure development, management capabilities, personnel expertise, and technical expertise strongly influence BDAC in the present scenario. These findings can be valuable and guide the executives of the industry who demand to learn more about the implications of BDA&C on supply chain performance and logistics management.
{"title":"Impact of Big Data Analytics & Capabilities on Supply Chain Management (SCM) - An Analysis of Indian Cement Industry","authors":"Gaurav Singh, M. Dadhich, Vineet Chouhan, Arvind Sharma","doi":"10.1109/ICAC3N53548.2021.9725531","DOIUrl":"https://doi.org/10.1109/ICAC3N53548.2021.9725531","url":null,"abstract":"Big data analytics and capabilities (BDA&C) have the potential to transform existing business strategies. Big data analytics technologies and capabilities can help businesses make data-driven decisions that enhance business outcomes. More effective marketing, additional income opportunities, customer personalization, and increased operational efficiency are possible benefits. The present research outlines the impact of the BDA&C on SCM of Indian cement industry. This research uses SEM and Smart-PLS to determine how effective the adoption of BDA&C. An empirical study used a sample of 300 respondents from the Indian cement industry to test five hypotheses using 26 variables in a model. The SEM findings highlight the relative relevance of several variables to boosting the Indian cement supply chain and logistics management. This model demonstrates the understanding of the critical role of big data analytics and capabilities and their interconnections in the supply chain and logistics operation. The study found a significant mediating effect of BDA capabilities on several aspects of sustainable SCM. Advance infrastructure development, management capabilities, personnel expertise, and technical expertise strongly influence BDAC in the present scenario. These findings can be valuable and guide the executives of the industry who demand to learn more about the implications of BDA&C on supply chain performance and logistics management.","PeriodicalId":105548,"journal":{"name":"2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122795125","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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