Pub Date : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8753030
R. Singh, V. K. Panchal, B. Singh
Genetic Algorithm is a soft computing technique which uses its special operators to solve an optimization problem. These algorithms can solve both minimization and maximization problems. This paper discusses the details of genetic algorithm i.e. how it works. The paper also discusses the application areas of genetic algorithm in various fields of science and engineering. We also discuss its current applications and how it can be useful to solve future problems or optimize the current procedures.
{"title":"A review on Genetic Algorithm and Its Applications","authors":"R. Singh, V. K. Panchal, B. Singh","doi":"10.1109/ICGCIOT.2018.8753030","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753030","url":null,"abstract":"Genetic Algorithm is a soft computing technique which uses its special operators to solve an optimization problem. These algorithms can solve both minimization and maximization problems. This paper discusses the details of genetic algorithm i.e. how it works. The paper also discusses the application areas of genetic algorithm in various fields of science and engineering. We also discuss its current applications and how it can be useful to solve future problems or optimize the current procedures.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131389897","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8753103
R. Keerthi, P. Lakshmi
The exponential rise in technologies has opened up a gigantic scope to exploit the data for better decision making. The evolution of social media has contributed humungous information including ratings, reviews and comments. Considering the significance of an efficient predictive analysis model for the tourist destination prediction, in the proposed work robust technologies have been applied to perform the destination prediction. This work contributes to the technique of developing a novel Destination Prediction Model that corresponds to the tourist’s preferences.
{"title":"Predictive Analysis for Modeling Travel Decision Making","authors":"R. Keerthi, P. Lakshmi","doi":"10.1109/ICGCIOT.2018.8753103","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753103","url":null,"abstract":"The exponential rise in technologies has opened up a gigantic scope to exploit the data for better decision making. The evolution of social media has contributed humungous information including ratings, reviews and comments. Considering the significance of an efficient predictive analysis model for the tourist destination prediction, in the proposed work robust technologies have been applied to perform the destination prediction. This work contributes to the technique of developing a novel Destination Prediction Model that corresponds to the tourist’s preferences.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133640124","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}
Throughout the globe, billions of dollars are spent in IT sectors for building software projects. Building software is continuous process with numerous hazards and so many issues and changes. Those rigorous interruptions may cause soaring of cost from both client’s and IT companies. In this paper we have the objective to evaluate the cost of wages of technical resources of any IT farm and the revenue coming after those resources are billed into a client’s project. Subsequently we have designed an LP based model to maximize the profit index.
{"title":"LP based Model to Find Optimal Portfolio to Maximize the Profit Index in Software Project Billing","authors":"Anupam Das, Mukul Sharma, Chayan Halder, Anirban Das, Sagar Kumar Dhawa, Krishnadas Banerjee","doi":"10.1109/ICGCIOT.2018.8753102","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753102","url":null,"abstract":"Throughout the globe, billions of dollars are spent in IT sectors for building software projects. Building software is continuous process with numerous hazards and so many issues and changes. Those rigorous interruptions may cause soaring of cost from both client’s and IT companies. In this paper we have the objective to evaluate the cost of wages of technical resources of any IT farm and the revenue coming after those resources are billed into a client’s project. Subsequently we have designed an LP based model to maximize the profit index.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129806131","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8753088
B. Panigrahi, Bhagyashree Parija, Ruturaj Pattanayak, S. K. Tripathy
Introduction of distributed generators into the conventional power grid results, complexity in operation and control problem along with creating a challenge in identification of fault disturbances in electric power system. This paper describes a new technique for classification of fault disturbances like LLG under different operating conditions. The pattern recognition techniques namely support vector machines (SVM) and decision tree (DT) are used to classify faults disturbances. Based on the study of this paper, it is observed that SVM and DT provides the best possible accuracy as compared to other techniques, implying its robustness under different operating scenarios such as variation in load, solar insolation and presence of noise and harmonics in the system parameters.
{"title":"Faults classification In A Microgrid Using Decision Tree Technique And Support Vector Machine","authors":"B. Panigrahi, Bhagyashree Parija, Ruturaj Pattanayak, S. K. Tripathy","doi":"10.1109/ICGCIOT.2018.8753088","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753088","url":null,"abstract":"Introduction of distributed generators into the conventional power grid results, complexity in operation and control problem along with creating a challenge in identification of fault disturbances in electric power system. This paper describes a new technique for classification of fault disturbances like LLG under different operating conditions. The pattern recognition techniques namely support vector machines (SVM) and decision tree (DT) are used to classify faults disturbances. Based on the study of this paper, it is observed that SVM and DT provides the best possible accuracy as compared to other techniques, implying its robustness under different operating scenarios such as variation in load, solar insolation and presence of noise and harmonics in the system parameters.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124522718","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8753050
R. Reddy, G. Shyam
Analysis and search for meaningful associations in customer purchase data are considered as best applications of data mining techniques. Machine learning is the fundamental nature of imitation of intelligence. The machine learns from the past information to improve the performance of intelligent programs. We consider unsupervised machine learning techniques to analyze various sort of the data. Techniques used are clustering, feature extraction and classification. Machine learning is mainly employed to exhibit accurate estimate. The major objective of this paper is to present the outline of machine learning and discuss unsupervised machine-learning techniques for various applications. Further, this paper reviews the different machine learning techniques.
{"title":"Analysis Through Machine Learning Techniques: A Survey","authors":"R. Reddy, G. Shyam","doi":"10.1109/ICGCIOT.2018.8753050","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753050","url":null,"abstract":"Analysis and search for meaningful associations in customer purchase data are considered as best applications of data mining techniques. Machine learning is the fundamental nature of imitation of intelligence. The machine learns from the past information to improve the performance of intelligent programs. We consider unsupervised machine learning techniques to analyze various sort of the data. Techniques used are clustering, feature extraction and classification. Machine learning is mainly employed to exhibit accurate estimate. The major objective of this paper is to present the outline of machine learning and discuss unsupervised machine-learning techniques for various applications. Further, this paper reviews the different machine learning techniques.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115038402","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8753058
Kiran V Parvatekar, Shebin M Zacharia, Shreya V Sheelvant, Tanya Nanaiah, K. Ambika
Our world has been polluted in many ways over the years and the most dangerous one is air pollution which causes depletion of the ozone layer leading to greenhouse effect and global warming. The developed product is a drone that aims at purifying air by first monitoring the amount of toxins in it and then filtering them out, thereby releasing relatively purer air. A single drone purifies a very small percentage of air. Therefore, to bring about a difference in the air conditions, they need to be used in swarm robotics.
{"title":"EnviDron — A drone that purifies air","authors":"Kiran V Parvatekar, Shebin M Zacharia, Shreya V Sheelvant, Tanya Nanaiah, K. Ambika","doi":"10.1109/ICGCIOT.2018.8753058","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753058","url":null,"abstract":"Our world has been polluted in many ways over the years and the most dangerous one is air pollution which causes depletion of the ozone layer leading to greenhouse effect and global warming. The developed product is a drone that aims at purifying air by first monitoring the amount of toxins in it and then filtering them out, thereby releasing relatively purer air. A single drone purifies a very small percentage of air. Therefore, to bring about a difference in the air conditions, they need to be used in swarm robotics.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123226037","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8753066
Sandeep S R, Rudranna Nandihalli
The paper proposes a novel method for fulfilling the load demands using the two renewable generation system such as wind and solar. The fuzzy logic controller is used to control the generation of the generating station. The power reference of each renewable source is calculated and provided to the fuzzy controller; it generates the control signals to alter the generation power. The controller is intelligent enough to make the decision for the dynamic change in the operating point of the solar and wind. MATLAB SIMULINK tool is used to implement the proposed system.
{"title":"Control of Stand-alone Hybrid Renewable Energy Generation System Using Fuzzy Controller","authors":"Sandeep S R, Rudranna Nandihalli","doi":"10.1109/ICGCIOT.2018.8753066","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753066","url":null,"abstract":"The paper proposes a novel method for fulfilling the load demands using the two renewable generation system such as wind and solar. The fuzzy logic controller is used to control the generation of the generating station. The power reference of each renewable source is calculated and provided to the fuzzy controller; it generates the control signals to alter the generation power. The controller is intelligent enough to make the decision for the dynamic change in the operating point of the solar and wind. MATLAB SIMULINK tool is used to implement the proposed system.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124659728","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8753098
S. Nandyal, Aishwarya R Gada
Health care is the most important aspect of any society and is fundamental need for every citizen of every country. However, most developing countries face lack of proper health care resources to cater to the needs of every citizen. In critical cases, the patients have to be continuously monitored for their bio-parameters and immediate response from doctors is essential. So, it is most essential to improve the healthcare infrastructure. The emerging trend in healthcare sector is to change the existing healthcare services and change the routine medical check-ups from hospital centric to person centric. Here, A Holistic Approach for the Development of Real Time Patient Health Monitoring and Alerting through IOT is proposed and implemented using ThingSpeak site as the cloud. This work presents the design and construction of a working prototype for smart health care system using Internet of Things which can provide Quality Health Care to everyone. In this system, the prototype developed uses an embedded system built using Atmega328 microcontroller and it is programmed using Arduino IDE. The prototype gathers biomedical and orientation information from sensors and location information from GPS of the monitored person and convey them to healthcare cloud system utilizing IOT platform. The sensor data is sent to the network through Wi-Fi link. The Thingspeak channel is updated at regular intervals and helps to maintain the medical history of the patient. The Thingspeak cloud computing handles authentication, privateness, safety, and data management and provides accessibility. The system obtains the parameter valus and compares them with the standard values and in the case of an emergency, a local alarm is triggered and an SMS text message is sent to the doctor with the details of authentication. The data from cloud platform can be accessed by the concerned doctor anytime, after a proper authentication and diagnosis and decisions can be made. The data can be accessed only by the authorized user (doctor) through password authentication.
{"title":"A Holistic Approach For Patient Health Care Monitoring System Through IoT","authors":"S. Nandyal, Aishwarya R Gada","doi":"10.1109/ICGCIOT.2018.8753098","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753098","url":null,"abstract":"Health care is the most important aspect of any society and is fundamental need for every citizen of every country. However, most developing countries face lack of proper health care resources to cater to the needs of every citizen. In critical cases, the patients have to be continuously monitored for their bio-parameters and immediate response from doctors is essential. So, it is most essential to improve the healthcare infrastructure. The emerging trend in healthcare sector is to change the existing healthcare services and change the routine medical check-ups from hospital centric to person centric. Here, A Holistic Approach for the Development of Real Time Patient Health Monitoring and Alerting through IOT is proposed and implemented using ThingSpeak site as the cloud. This work presents the design and construction of a working prototype for smart health care system using Internet of Things which can provide Quality Health Care to everyone. In this system, the prototype developed uses an embedded system built using Atmega328 microcontroller and it is programmed using Arduino IDE. The prototype gathers biomedical and orientation information from sensors and location information from GPS of the monitored person and convey them to healthcare cloud system utilizing IOT platform. The sensor data is sent to the network through Wi-Fi link. The Thingspeak channel is updated at regular intervals and helps to maintain the medical history of the patient. The Thingspeak cloud computing handles authentication, privateness, safety, and data management and provides accessibility. The system obtains the parameter valus and compares them with the standard values and in the case of an emergency, a local alarm is triggered and an SMS text message is sent to the doctor with the details of authentication. The data from cloud platform can be accessed by the concerned doctor anytime, after a proper authentication and diagnosis and decisions can be made. The data can be accessed only by the authorized user (doctor) through password authentication.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"126 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114088597","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8753026
Shantanu V. Kulkarni, Sangeeta K
Eye tracking is the process of estimating as well as recording gaze positions and eye movements of an individual. Eye tracking technology has many statistical factors which are significant in generating knowledge and values. In most of the approaches an insight is presented with the help of traditional attention maps as well as gaze plots. There is no any single visualization type for all possible requirements. The appropriate choice of a visualization method depends on the format of the data, analysis task specific to the requirements. The objective of this work is to visualize eye tracking data using various visualization especially 3D visuals and animation of eye gazes. These implementations have respective benefits over the other methods of eye tracking visualizations and can be used to generate more knowledge and value extraction from eye tracking metrics.
{"title":"Techniques for Visual Analysis of Eye Tracking Data","authors":"Shantanu V. Kulkarni, Sangeeta K","doi":"10.1109/ICGCIOT.2018.8753026","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753026","url":null,"abstract":"Eye tracking is the process of estimating as well as recording gaze positions and eye movements of an individual. Eye tracking technology has many statistical factors which are significant in generating knowledge and values. In most of the approaches an insight is presented with the help of traditional attention maps as well as gaze plots. There is no any single visualization type for all possible requirements. The appropriate choice of a visualization method depends on the format of the data, analysis task specific to the requirements. The objective of this work is to visualize eye tracking data using various visualization especially 3D visuals and animation of eye gazes. These implementations have respective benefits over the other methods of eye tracking visualizations and can be used to generate more knowledge and value extraction from eye tracking metrics.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116059906","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8752998
Nallapaneni Manoj Kumar, P. Das, Jayanna Kanchikere
Wearable Devices and their relevant intelligent and integrated computing techniques are presently being discovered to promote extensive claims in many areas. Smart Glass is one such wearable device which attracted many sectors since its official launch as Google Glass in 2014. Currently, no resource exists in the literature that supports the use of Smart Glass for the solar industry. For the first time, this article seeks to expand the Smart Glass applications into the solar power industry especially for addressing the solar power plant operation and maintenance issues. Applicability and scope for possible operations were explored by studying the technology and integrated computing techniques. Various sensors were embedded in smart glass, and they are a camera, microphone, global navigation system (GPS), magnetometer, light sensor, and a tangible interface. These embedded sensors can do works that are most important in monitoring few relevant parameters and addressing the challenges in solar power plant and its system components. Few computing technologies which could be integrated with the smart glass specifically in the view of solar were proposed. The theoretical study was carried out in monitoring the feasibilities of capturing images of the photovoltaic (PV) module for addressing dust and temperature problems, identifying the location of the power plant, noise monitoring of the system components, detection of power cables using magnetometers, tracking of visually enriched images under light conditions etc. Also, with the help of tangible sensors, the operator can use and interact with any digital interface available for displaying the monitor parameters. Hence, it is felt that the smart glass could be a great assent for solar power plant operation and maintenance.
{"title":"Applicability of Wearable Smart Glass for Solar Power Plant Operation and Maintenance","authors":"Nallapaneni Manoj Kumar, P. Das, Jayanna Kanchikere","doi":"10.1109/ICGCIOT.2018.8752998","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8752998","url":null,"abstract":"Wearable Devices and their relevant intelligent and integrated computing techniques are presently being discovered to promote extensive claims in many areas. Smart Glass is one such wearable device which attracted many sectors since its official launch as Google Glass in 2014. Currently, no resource exists in the literature that supports the use of Smart Glass for the solar industry. For the first time, this article seeks to expand the Smart Glass applications into the solar power industry especially for addressing the solar power plant operation and maintenance issues. Applicability and scope for possible operations were explored by studying the technology and integrated computing techniques. Various sensors were embedded in smart glass, and they are a camera, microphone, global navigation system (GPS), magnetometer, light sensor, and a tangible interface. These embedded sensors can do works that are most important in monitoring few relevant parameters and addressing the challenges in solar power plant and its system components. Few computing technologies which could be integrated with the smart glass specifically in the view of solar were proposed. The theoretical study was carried out in monitoring the feasibilities of capturing images of the photovoltaic (PV) module for addressing dust and temperature problems, identifying the location of the power plant, noise monitoring of the system components, detection of power cables using magnetometers, tracking of visually enriched images under light conditions etc. Also, with the help of tangible sensors, the operator can use and interact with any digital interface available for displaying the monitor parameters. Hence, it is felt that the smart glass could be a great assent for solar power plant operation and maintenance.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"389 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122878791","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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