Pub Date : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262424
D. Mohanapriya, D. V, S. M, S. C
In this paper, we are providing a solution for the real-time problem faced by the patient in their day to day life. Most of the patients may forget or mislead with the prescribed dosage. This type of mislead level of dosage cause a severe problem. It majorly affects elder peoples who are prescribed multiple prescriptions per day. It is necessary to take the right amount of drugs at a specific quantity and time. Our device mainly targets patients who frequently take medications. It is designed in an away which make them independent in handling proper measure of dosage at accurate time, using medication dispenser, it is an automated system. That atomize the tablet on time, they don't need to remember all the pills. It helps in people who are affected by Alzheimer's disease, it is progressive brain cell death that happens over time. It is hard then to consume a tablet at the right time with an accurate quantity. To help it out, we have designed devices that make independent from their caretaker
{"title":"A Real Time Support System to Impart Medicine using Smart Dispenser","authors":"D. Mohanapriya, D. V, S. M, S. C","doi":"10.1109/ICSCAN49426.2020.9262424","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262424","url":null,"abstract":"In this paper, we are providing a solution for the real-time problem faced by the patient in their day to day life. Most of the patients may forget or mislead with the prescribed dosage. This type of mislead level of dosage cause a severe problem. It majorly affects elder peoples who are prescribed multiple prescriptions per day. It is necessary to take the right amount of drugs at a specific quantity and time. Our device mainly targets patients who frequently take medications. It is designed in an away which make them independent in handling proper measure of dosage at accurate time, using medication dispenser, it is an automated system. That atomize the tablet on time, they don't need to remember all the pills. It helps in people who are affected by Alzheimer's disease, it is progressive brain cell death that happens over time. It is hard then to consume a tablet at the right time with an accurate quantity. To help it out, we have designed devices that make independent from their caretaker","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"91 2 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87735619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262312
S. S, Ramprabhu. G
In 4G technology, the orthogonal frequency division multiplexing is used for multicarrier transmission for obtaining high speed data. As the OFDM system have many sub-carriers, so that the amplitude of the signal results in producing high peaks. A high peak-to-average power ratio is considered to be a main crisis of OFDM scheme. So here we use the methodology called clipping is done on the high peak values. In my paper, signal-to-clipping ratio (SCR) based tone reservation (TR) scheme is developed to decrease the PAPR. Moreover, the CCDF performance analysis for different iteration and different modulation schemes are measured.
{"title":"Reduction of Peak-to-Average Power Ratio in OFDM System using SCR based Tone Reservation Technique","authors":"S. S, Ramprabhu. G","doi":"10.1109/ICSCAN49426.2020.9262312","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262312","url":null,"abstract":"In 4G technology, the orthogonal frequency division multiplexing is used for multicarrier transmission for obtaining high speed data. As the OFDM system have many sub-carriers, so that the amplitude of the signal results in producing high peaks. A high peak-to-average power ratio is considered to be a main crisis of OFDM scheme. So here we use the methodology called clipping is done on the high peak values. In my paper, signal-to-clipping ratio (SCR) based tone reservation (TR) scheme is developed to decrease the PAPR. Moreover, the CCDF performance analysis for different iteration and different modulation schemes are measured.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"63 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88431815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262368
V. Padmapriya, R. Archna, V. Lavanya, CH. VeeralakshmiKrishnaveni Sri
Blindness is often used to describe some form of visual impairments or vision loss. There is a great dependency for the blind people navigation or walking in any unfamiliar area. They depend on any persons to help them or they use their natural senses such as touch or sound for identification or Navigation. The object detection methodologies can be useful for detecting the object in their navigation path. Object detection is a computer vision technique for locating the objects in images or videos, it leverages on machine learning or deep learning techniques to produce meaningful results. The main aim of this article is to understanding various object detection techniques and analyzing its benefits and drawbacks.
{"title":"A Study on text Recognition and Obstacle Detection Techniques","authors":"V. Padmapriya, R. Archna, V. Lavanya, CH. VeeralakshmiKrishnaveni Sri","doi":"10.1109/ICSCAN49426.2020.9262368","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262368","url":null,"abstract":"Blindness is often used to describe some form of visual impairments or vision loss. There is a great dependency for the blind people navigation or walking in any unfamiliar area. They depend on any persons to help them or they use their natural senses such as touch or sound for identification or Navigation. The object detection methodologies can be useful for detecting the object in their navigation path. Object detection is a computer vision technique for locating the objects in images or videos, it leverages on machine learning or deep learning techniques to produce meaningful results. The main aim of this article is to understanding various object detection techniques and analyzing its benefits and drawbacks.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"19 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79279302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262413
K. Muninathan, J. J. Nesakumar, K. Vikneshpriya, V. Prashanth Anand, C. Daarthi
The foremost aim of this paper is to design a kiln which purpose is to serve as a quick converter of wood into charcoal without wasting the amount of wood and minimizing the emission. The use of wood as biomass for continuous production of charcoal seems to be fruitful due to the capability of producing them in wastelands and in a short period. The charcoal is highly porous and its properties are found by the nature of the carbonization process and the raw materials used. Charcoal is mostly pure carbon, made by solid biomass in a low oxygen environment, a process that can takes several days. To obtain a charcoal highly pure, the source should not contain non-volatile compounds. A biggest disadvantage of conventional production method is the large amount of emissions which are harmful as it gives out CO and the conversion of wood to charcoal is 20 - 25%, fixed carbon content is 60 - 65% under an operating temperature of 450 - 500°C. In this paper, 30kg of kiln is designed and conducted experiments with both auto and allo thermal process (direct and indirect heating) as the conversion of wood to charcoal is 35 - 38%, fixed carbon content is varying from 75% to 80%. (The first half of the process uses wood for the energy and the second half of the process uses the emitted CO as the energy). It is estimated that the CO emission is reduced by 60% compared to traditional method.
{"title":"Experimental and Numerical Analysis of Autothermal Portable Charcoal Kiln using Casuarina Wood","authors":"K. Muninathan, J. J. Nesakumar, K. Vikneshpriya, V. Prashanth Anand, C. Daarthi","doi":"10.1109/ICSCAN49426.2020.9262413","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262413","url":null,"abstract":"The foremost aim of this paper is to design a kiln which purpose is to serve as a quick converter of wood into charcoal without wasting the amount of wood and minimizing the emission. The use of wood as biomass for continuous production of charcoal seems to be fruitful due to the capability of producing them in wastelands and in a short period. The charcoal is highly porous and its properties are found by the nature of the carbonization process and the raw materials used. Charcoal is mostly pure carbon, made by solid biomass in a low oxygen environment, a process that can takes several days. To obtain a charcoal highly pure, the source should not contain non-volatile compounds. A biggest disadvantage of conventional production method is the large amount of emissions which are harmful as it gives out CO and the conversion of wood to charcoal is 20 - 25%, fixed carbon content is 60 - 65% under an operating temperature of 450 - 500°C. In this paper, 30kg of kiln is designed and conducted experiments with both auto and allo thermal process (direct and indirect heating) as the conversion of wood to charcoal is 35 - 38%, fixed carbon content is varying from 75% to 80%. (The first half of the process uses wood for the energy and the second half of the process uses the emitted CO as the energy). It is estimated that the CO emission is reduced by 60% compared to traditional method.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"127 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79537663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262290
R. Asma, S. Matilda
The manual scavengers are highly exposed to poisonous gases such as methane, hydrogen disulphide during the process of sewage cleaning. As a result they are subjected to health related issues such as bronchitis, skin cancer, respiratory problems the worst being loss of life. To automate the process of manual scavenging, this project proposes a Robotic hand which is controlled by a Mobile application. This system automatically clears the blockages in the underground water flow. This system is user-friendly and can be used for cleaning the sewage along roads and the underground sewage.
{"title":"Keluthi Roomba - A Robotic Hand for Cleaning Sewage","authors":"R. Asma, S. Matilda","doi":"10.1109/ICSCAN49426.2020.9262290","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262290","url":null,"abstract":"The manual scavengers are highly exposed to poisonous gases such as methane, hydrogen disulphide during the process of sewage cleaning. As a result they are subjected to health related issues such as bronchitis, skin cancer, respiratory problems the worst being loss of life. To automate the process of manual scavenging, this project proposes a Robotic hand which is controlled by a Mobile application. This system automatically clears the blockages in the underground water flow. This system is user-friendly and can be used for cleaning the sewage along roads and the underground sewage.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"72 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83912778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262311
V. Geetha, A. Punitha, M. Abarna, M. Akshaya, S. Illakiya, AP. Janani
Reliable predictions of crop yield are difficult for developing agriculture. Crop production varies by various climatic conditions like dried period, increasing in temperatures remains a huge problem for agriculture workers, governments, and traders to strengthen the need for exactness and analyzing of crop production in a different weather conditions. In this system, a machine-learning method, Random Forest algorithm has an ability to analyze crop growth related to the current climatic conditions and biophysical change. We have collected crop growth datasets from various sources. These datasets are used for both training and testing process. Random Forest classifier was found huge ability to predict crop yield. From different outputs, it shows that Random Forest is an efficient learning algorithm to analyze crop at current climatic condition and has a huge exactness in data investigation.
{"title":"An Effective Crop Prediction Using Random Forest Algorithm","authors":"V. Geetha, A. Punitha, M. Abarna, M. Akshaya, S. Illakiya, AP. Janani","doi":"10.1109/ICSCAN49426.2020.9262311","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262311","url":null,"abstract":"Reliable predictions of crop yield are difficult for developing agriculture. Crop production varies by various climatic conditions like dried period, increasing in temperatures remains a huge problem for agriculture workers, governments, and traders to strengthen the need for exactness and analyzing of crop production in a different weather conditions. In this system, a machine-learning method, Random Forest algorithm has an ability to analyze crop growth related to the current climatic conditions and biophysical change. We have collected crop growth datasets from various sources. These datasets are used for both training and testing process. Random Forest classifier was found huge ability to predict crop yield. From different outputs, it shows that Random Forest is an efficient learning algorithm to analyze crop at current climatic condition and has a huge exactness in data investigation.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"78 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83937062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262358
Rama Lakshmi Gali, G. V, S. S, Madhuri S, T. S
Lot of individuals in family need special attention – may it be our elderly people, because with aging, people suffer with poor vision and forgetfulness. A patient suffering from dementia like Alzheimer faces difficulties while taking medicine. Elderly people may forget to take the right medicines in right times, some forget that they had already taken the medicine and leads to over dosage, sometimes they forget which medicine they have to take. So, in order to eliminate these problems, we proposed a design which observes like a nurse and avoids the risk missing of medication. We found a handy, flexible, affordable and efficient solution. Proposed method gives voice-based support for patients who have to take more medicine in various timeslots in a day. Medicine box that we designed can be easily integrated with the emerging smart technologies. Also, it should be convenient for elderly people to use it with ease with their general knowledge in technology and experience to use it.
{"title":"Automated Medicine Box for Geriatrics","authors":"Rama Lakshmi Gali, G. V, S. S, Madhuri S, T. S","doi":"10.1109/ICSCAN49426.2020.9262358","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262358","url":null,"abstract":"Lot of individuals in family need special attention – may it be our elderly people, because with aging, people suffer with poor vision and forgetfulness. A patient suffering from dementia like Alzheimer faces difficulties while taking medicine. Elderly people may forget to take the right medicines in right times, some forget that they had already taken the medicine and leads to over dosage, sometimes they forget which medicine they have to take. So, in order to eliminate these problems, we proposed a design which observes like a nurse and avoids the risk missing of medication. We found a handy, flexible, affordable and efficient solution. Proposed method gives voice-based support for patients who have to take more medicine in various timeslots in a day. Medicine box that we designed can be easily integrated with the emerging smart technologies. Also, it should be convenient for elderly people to use it with ease with their general knowledge in technology and experience to use it.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"11 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88837125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262288
V. Geetha, A. Punitha, A. Nandhini, T. Nandhini, S. Shakila, R. Sushmitha
Nowadays data has become the important aspect in each and every field. In this the data about the telecommunication industry is collected and then the raw data is classified into churn and the non churn customers. The churn customers are one who periodically uses the same resource signals and non churn customers are one who utilizes the resources based on the services provided by the particular company. In existing system they uses the algorithm called LDT and UDT which train the system blindly with too many attributes which are not necessary for the computation. So it takes much time to train the system and the accuracy is not that much efficient and it achieve the performance about 84 percent. But this much of performance is not that much efficient for an organization to provide convincible services. So in order to resolve this problem in existing system we proposing the system with an efficient algorithms known as Random Forest Classifier and Support Vector Machine which selects the important attribute which increases the performance of the system and by implementing these two algorithms we can achieve the efficiency of about 95 percent. Because this efficiency in performance will ensure the company to provide the appropriate services to retain the non churn customer within the organization to sustain the Telecommunication industry.
{"title":"Customer Churn Prediction In Telecommunication Industry Using Random Forest Classifier","authors":"V. Geetha, A. Punitha, A. Nandhini, T. Nandhini, S. Shakila, R. Sushmitha","doi":"10.1109/ICSCAN49426.2020.9262288","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262288","url":null,"abstract":"Nowadays data has become the important aspect in each and every field. In this the data about the telecommunication industry is collected and then the raw data is classified into churn and the non churn customers. The churn customers are one who periodically uses the same resource signals and non churn customers are one who utilizes the resources based on the services provided by the particular company. In existing system they uses the algorithm called LDT and UDT which train the system blindly with too many attributes which are not necessary for the computation. So it takes much time to train the system and the accuracy is not that much efficient and it achieve the performance about 84 percent. But this much of performance is not that much efficient for an organization to provide convincible services. So in order to resolve this problem in existing system we proposing the system with an efficient algorithms known as Random Forest Classifier and Support Vector Machine which selects the important attribute which increases the performance of the system and by implementing these two algorithms we can achieve the efficiency of about 95 percent. Because this efficiency in performance will ensure the company to provide the appropriate services to retain the non churn customer within the organization to sustain the Telecommunication industry.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"43 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89912801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262315
M. M., Usharani S, Manju Bala P, S. Sandhya
Ransomware is the type of malware that encrypts the user data which cannot be accessed then the ransom demands to pay for decrypting key. Many organizations lose their data and money; lose their reputation as small organizations. So, detect the ransomware which affected the system before execution. Later, detection of ransomware was done by the decision tree algorithm method. In this work, we use a static detection of ransomware which extracts the features to classify whether it is ransomware, malware or benign before execution on the system by using gradient tree boosting algorithm. In the previous method, the detection of ransomware by using a decision tree method which achieved 98.98% with a detection rate of 0.2%, which ends with False Positive Rate (FPR) and the result is efficient for small dataset. Our proposed method the detection of the ransomware achieves 99.997% with a detection rate of 0.1% false positive rate again it results with less than 0.01% false positive rates with 98.3% of detection rate based on the 700,000 training and 400,000 testing samples from the dataset. Our method achieves more accuracy than the later algorithm while increasing the dataset for detecting the ransomware and also to identify the type of malware.
{"title":"Detection of ransomware in static analysis by using Gradient Tree Boosting Algorithm","authors":"M. M., Usharani S, Manju Bala P, S. Sandhya","doi":"10.1109/ICSCAN49426.2020.9262315","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262315","url":null,"abstract":"Ransomware is the type of malware that encrypts the user data which cannot be accessed then the ransom demands to pay for decrypting key. Many organizations lose their data and money; lose their reputation as small organizations. So, detect the ransomware which affected the system before execution. Later, detection of ransomware was done by the decision tree algorithm method. In this work, we use a static detection of ransomware which extracts the features to classify whether it is ransomware, malware or benign before execution on the system by using gradient tree boosting algorithm. In the previous method, the detection of ransomware by using a decision tree method which achieved 98.98% with a detection rate of 0.2%, which ends with False Positive Rate (FPR) and the result is efficient for small dataset. Our proposed method the detection of the ransomware achieves 99.997% with a detection rate of 0.1% false positive rate again it results with less than 0.01% false positive rates with 98.3% of detection rate based on the 700,000 training and 400,000 testing samples from the dataset. Our method achieves more accuracy than the later algorithm while increasing the dataset for detecting the ransomware and also to identify the type of malware.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"518 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77168210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262437
R. Raju, P. Madhumathy, N. N. veni, G. Pavithra
The technology of automation has brought out major changes in almost all the fields. The aim behind innovations today is to reduce the manual work and to make the process efficient as well as accurate. One of the systems that has remained conventional since a long time is the electricity bill generation. There are a number of issues that arise due to manual billing which includes incorrect computation/calculations, improper meter reading, delayed bill delivery, rounding off issues etc. Another major drawback of manual billing is the storage of the bills and maintaining a history of electricity consumption. Proposals to automate this process are being continuously made. Here we will discuss the various types of electricity billing systems and group them according to their functionality, modes of operation and payment methods. The pros and cons of these systems are studied in detail.
{"title":"A Comparison of Smart Electricity Billing Systems","authors":"R. Raju, P. Madhumathy, N. N. veni, G. Pavithra","doi":"10.1109/ICSCAN49426.2020.9262437","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262437","url":null,"abstract":"The technology of automation has brought out major changes in almost all the fields. The aim behind innovations today is to reduce the manual work and to make the process efficient as well as accurate. One of the systems that has remained conventional since a long time is the electricity bill generation. There are a number of issues that arise due to manual billing which includes incorrect computation/calculations, improper meter reading, delayed bill delivery, rounding off issues etc. Another major drawback of manual billing is the storage of the bills and maintaining a history of electricity consumption. Proposals to automate this process are being continuously made. Here we will discuss the various types of electricity billing systems and group them according to their functionality, modes of operation and payment methods. The pros and cons of these systems are studied in detail.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"30 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82341140","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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