Pub Date : 2017-02-01DOI: 10.1109/ICDMAI.2017.8073475
R. Vignesh, Kumar Rishabh
This paper aims at introducing a new way of recommending movies to users. It is an improvement on the existing approaches of Content Based Recommendation system and Collaborative Filtering. Creating similar feature vectors for both the users and movies, we update it with every passing recommendation made. We then find out the nearest user by calculating the difference in the feature using root mean square error technique. We finally draw out a conclusion and observe the cases where this outperforms other popular algorithms. We also look at its shortcomings and list the scope for future improvements that could be made.
{"title":"Recommendation system to simplify opinion formation","authors":"R. Vignesh, Kumar Rishabh","doi":"10.1109/ICDMAI.2017.8073475","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073475","url":null,"abstract":"This paper aims at introducing a new way of recommending movies to users. It is an improvement on the existing approaches of Content Based Recommendation system and Collaborative Filtering. Creating similar feature vectors for both the users and movies, we update it with every passing recommendation made. We then find out the nearest user by calculating the difference in the feature using root mean square error technique. We finally draw out a conclusion and observe the cases where this outperforms other popular algorithms. We also look at its shortcomings and list the scope for future improvements that could be made.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117104186","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 : 2017-02-01DOI: 10.1109/ICDMAI.2017.8073503
S. Madane, S. Deokar
The conventional electrified train locomotive load and large speed train load are having somewhat identical characteristics like enormous power, higher power factor, small harmonic factor and large negative sequence factor. As high unfavorable current introduced in to Supply system it have thoughtful results over the power supply system like additional losses due to motor vibration which causes increase in heat. Along with this it reduce the output of transformer and maloperation of relay system. Thus there might be vulnerability about the large accelerated train supply system and its power supply system also. In order to avoid all above consequences it will be significant to minimize negative sequence current and harmonic current. In this Paper we present the method for Power Conditioning of Traction system by using half bridge converter along with its result of reduced Harmonics using with compensation circuit. For maintaining the DC-link voltage absolute and complete with dynamic tracking of the referred current signals a double loop control planned for half bridge converter constant railway power conditioning. To get regular operation of HBRPC and to reduce the errors of capacitors voltages the balanced control method is used.
{"title":"Harmonic mitigation in traction supply system by using half bridge converter","authors":"S. Madane, S. Deokar","doi":"10.1109/ICDMAI.2017.8073503","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073503","url":null,"abstract":"The conventional electrified train locomotive load and large speed train load are having somewhat identical characteristics like enormous power, higher power factor, small harmonic factor and large negative sequence factor. As high unfavorable current introduced in to Supply system it have thoughtful results over the power supply system like additional losses due to motor vibration which causes increase in heat. Along with this it reduce the output of transformer and maloperation of relay system. Thus there might be vulnerability about the large accelerated train supply system and its power supply system also. In order to avoid all above consequences it will be significant to minimize negative sequence current and harmonic current. In this Paper we present the method for Power Conditioning of Traction system by using half bridge converter along with its result of reduced Harmonics using with compensation circuit. For maintaining the DC-link voltage absolute and complete with dynamic tracking of the referred current signals a double loop control planned for half bridge converter constant railway power conditioning. To get regular operation of HBRPC and to reduce the errors of capacitors voltages the balanced control method is used.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130229648","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 : 2017-02-01DOI: 10.1109/ICDMAI.2017.8073501
Sagar S. Patil, R. Metri
In recent years, power electronics devices have evolved, and used for varies applications. Also, this device caused the problem of power quality in electrical system. In the utility side arc furnaces, variable frequency drives (VFD), personal computer, fluorescent lamp such non-linear load produces current harmonics. For consumer and distributed side the power quality is an important issue. The active power filter which is capable for improving the power quality and reactive power compensation. In this paper the harmonics problem which is created by non-linear load is discussed. Shunt active filter is used for eliminating the harmonics from non-linear load and in the retrieval technique for controlling the current hysteresis current controller is used. In this paper for producing the reference current instantaneous reactive power (PQ) theory is used. The simulation result of shunt active filter using PQ theory is carried out using Matlab-Simulink toolbox.
{"title":"Power quality improvement using shunt active power filter","authors":"Sagar S. Patil, R. Metri","doi":"10.1109/ICDMAI.2017.8073501","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073501","url":null,"abstract":"In recent years, power electronics devices have evolved, and used for varies applications. Also, this device caused the problem of power quality in electrical system. In the utility side arc furnaces, variable frequency drives (VFD), personal computer, fluorescent lamp such non-linear load produces current harmonics. For consumer and distributed side the power quality is an important issue. The active power filter which is capable for improving the power quality and reactive power compensation. In this paper the harmonics problem which is created by non-linear load is discussed. Shunt active filter is used for eliminating the harmonics from non-linear load and in the retrieval technique for controlling the current hysteresis current controller is used. In this paper for producing the reference current instantaneous reactive power (PQ) theory is used. The simulation result of shunt active filter using PQ theory is carried out using Matlab-Simulink toolbox.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130461055","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 : 2017-02-01DOI: 10.1109/ICDMAI.2017.8073499
D. Manjaiah, Abdo H. Guroob
Data Grid Environments consist of geographically distributed resources to solve scientific problems and tasks of researchers, scientists and engineers, which are difficult to accomplish by traditional methods based on computer networks. Scheduling and replication are considered some of the most important techniques used in data grid environments, which are used to improve performance and availability to get the best throughput in the shortest possible time. Thus, some algorithms are used for these purposes. Effective scheduling working to reduce the time of implementation of tasks (makespan) of the available resources in the data grid, while replication is working to provide appropriate places or replace similar data to accelerate job execution time. On the other hand, there is another technique, which is important as scheduling and replication, which can be used to reduce the time of implementation for a user request. This technique called Access Pattern, defines the order in which the files are requested for each job to accelerate the completion of the task. Most researchers are focusing on the scheduling, replication, or Access Pattern separately, which leads to variation in the results and gives them unsatisfactory results. The contribution of this paper is present the impact and effect of the triple integration of the three techniques to completing tasks in data grid environments by comparing the results of different algorithms available in the OptorSim simulator.
{"title":"Triple integration optimization techniques in data grid environment using OptorSim simulator","authors":"D. Manjaiah, Abdo H. Guroob","doi":"10.1109/ICDMAI.2017.8073499","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073499","url":null,"abstract":"Data Grid Environments consist of geographically distributed resources to solve scientific problems and tasks of researchers, scientists and engineers, which are difficult to accomplish by traditional methods based on computer networks. Scheduling and replication are considered some of the most important techniques used in data grid environments, which are used to improve performance and availability to get the best throughput in the shortest possible time. Thus, some algorithms are used for these purposes. Effective scheduling working to reduce the time of implementation of tasks (makespan) of the available resources in the data grid, while replication is working to provide appropriate places or replace similar data to accelerate job execution time. On the other hand, there is another technique, which is important as scheduling and replication, which can be used to reduce the time of implementation for a user request. This technique called Access Pattern, defines the order in which the files are requested for each job to accelerate the completion of the task. Most researchers are focusing on the scheduling, replication, or Access Pattern separately, which leads to variation in the results and gives them unsatisfactory results. The contribution of this paper is present the impact and effect of the triple integration of the three techniques to completing tasks in data grid environments by comparing the results of different algorithms available in the OptorSim simulator.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129243309","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 : 2017-02-01DOI: 10.1109/ICDMAI.2017.8073526
Jayesh Pathak, R. Labade
In this article, design, analysis and comparative study of three different feeding techniques for UWB antennas, namely the microstrip feed, CPW feed and ACS feed is carried out. First design microstrip feed line UWB antenna, which consists of circular radiating patch & destructive ground structure (DGS) of length Lg and width Wg. The ACS feed structure provides almost 50% size reduction as compared with the traditional microstrip or CPW feed antenna. The proposed antennas are fabricated on a FR-4 substrate of thickness h = 1.6mm having loss tangent of 0.02 and dielectric constant of ξr = 4.4 and has been analyzed using HFSS EM simulation software. The final ACS feed UWB antenna provides an impedance bandwidth of VSWR ≥2 over the frequency band of 2.4–11 GHz. The proposed antennas exhibits good electrical characteristics in both time and frequency domain giving stable gain, almost omni-directional radiation patterns making the antenna suitable for wireless applications.
{"title":"Comparative analysis of microstrip feed, CPW feed & ACS feed UWB antenna","authors":"Jayesh Pathak, R. Labade","doi":"10.1109/ICDMAI.2017.8073526","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073526","url":null,"abstract":"In this article, design, analysis and comparative study of three different feeding techniques for UWB antennas, namely the microstrip feed, CPW feed and ACS feed is carried out. First design microstrip feed line UWB antenna, which consists of circular radiating patch & destructive ground structure (DGS) of length Lg and width Wg. The ACS feed structure provides almost 50% size reduction as compared with the traditional microstrip or CPW feed antenna. The proposed antennas are fabricated on a FR-4 substrate of thickness h = 1.6mm having loss tangent of 0.02 and dielectric constant of ξr = 4.4 and has been analyzed using HFSS EM simulation software. The final ACS feed UWB antenna provides an impedance bandwidth of VSWR ≥2 over the frequency band of 2.4–11 GHz. The proposed antennas exhibits good electrical characteristics in both time and frequency domain giving stable gain, almost omni-directional radiation patterns making the antenna suitable for wireless applications.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122377831","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 : 2017-02-01DOI: 10.1109/ICDMAI.2017.8073516
Priyanka Sherkhane, D. Vora
Deep learning is the new big fastest growing field in machine learning. It can significantly change the way we see Artificial Intelligence and achieving their goal. This paper gives survey on different software tools. For comparing this software tools uses different types of deep learning algorithms and evaluate the performance of the software tools. Deep learning methods have resulted in significant performance in many applications and for that several software tools have been developed to facilitate their implementation.
{"title":"Survey of deep learning software tools","authors":"Priyanka Sherkhane, D. Vora","doi":"10.1109/ICDMAI.2017.8073516","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073516","url":null,"abstract":"Deep learning is the new big fastest growing field in machine learning. It can significantly change the way we see Artificial Intelligence and achieving their goal. This paper gives survey on different software tools. For comparing this software tools uses different types of deep learning algorithms and evaluate the performance of the software tools. Deep learning methods have resulted in significant performance in many applications and for that several software tools have been developed to facilitate their implementation.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127141054","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 : 2017-02-01DOI: 10.1109/ICDMAI.2017.8073486
Sourabh Jalnekar, Vijay Gaikwad
The general steam system consists of a boiler, piping and heat exchanger. The boiler generates steam, piping delivers steam from the boiler and returns condensate to the boiler and heat exchanger transfers heat to perform the work. The boiler is the heart of the steam system. The previous manual blowdown method consists of two cycles, viz. purge cycle and blowdown cycle. In purge cycle the operator periodically opens the blowdown valve to refresh the boiler water around the sensor before its impurity concentration is measured. In blowdown cycle, at the end of the purge duration the blowdown valve is closed and the impurity concentration is measured. If measured value is above the threshold value, water is blown down. However, this existing method requires continuous manual supervision and control actions. During this maneuver, timing constraints may arise which can affect the efficiency of boiler system. If the purge cycle is speeded up, the low concentration of impurities in water may lead to additional processing time for steam generation. On the other hand, if the purge cycle is delayed, the increased concentration of impurities in the boiler water will lead to adulterated steam. Such adulterated steam may cause damage to the relevant applications. In the proposed system, the above-mentioned drawbacks are overcome using a well-designed signal conditioning circuit and a micro-controller based control actions. This being a single step process eliminates the overhead of purge cycle and drawbacks due to the manual control of the blowdown valve. Thus the blowdown process becomes more precise and smooth. The proposed approach has attained the benefit of faster performance as compared to the existing blowdown controllers mitigating human errors. Further, the performance can be improved by combining temperature and conductivity sensors into a single module optimizing time and space. Also, data can be transmitted over a remote place for single or multiple boilers.
{"title":"PIC16 based blowdown controller for industrial boilers","authors":"Sourabh Jalnekar, Vijay Gaikwad","doi":"10.1109/ICDMAI.2017.8073486","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073486","url":null,"abstract":"The general steam system consists of a boiler, piping and heat exchanger. The boiler generates steam, piping delivers steam from the boiler and returns condensate to the boiler and heat exchanger transfers heat to perform the work. The boiler is the heart of the steam system. The previous manual blowdown method consists of two cycles, viz. purge cycle and blowdown cycle. In purge cycle the operator periodically opens the blowdown valve to refresh the boiler water around the sensor before its impurity concentration is measured. In blowdown cycle, at the end of the purge duration the blowdown valve is closed and the impurity concentration is measured. If measured value is above the threshold value, water is blown down. However, this existing method requires continuous manual supervision and control actions. During this maneuver, timing constraints may arise which can affect the efficiency of boiler system. If the purge cycle is speeded up, the low concentration of impurities in water may lead to additional processing time for steam generation. On the other hand, if the purge cycle is delayed, the increased concentration of impurities in the boiler water will lead to adulterated steam. Such adulterated steam may cause damage to the relevant applications. In the proposed system, the above-mentioned drawbacks are overcome using a well-designed signal conditioning circuit and a micro-controller based control actions. This being a single step process eliminates the overhead of purge cycle and drawbacks due to the manual control of the blowdown valve. Thus the blowdown process becomes more precise and smooth. The proposed approach has attained the benefit of faster performance as compared to the existing blowdown controllers mitigating human errors. Further, the performance can be improved by combining temperature and conductivity sensors into a single module optimizing time and space. Also, data can be transmitted over a remote place for single or multiple boilers.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127794154","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 : 2017-02-01DOI: 10.1109/ICDMAI.2017.8073510
Sumit R. Patil, V. Kalkhambkar
The latest trend in modern industrial application is the use of variable voltage supply to the AC drives from a three phase voltage source inverter (VSI). Different types of Pulse Width Modulation (PWM) scheme are used to modulate output voltage of VSI. The most commonly used PWM schemes for three-phase VSI are carrier-based sinusoidal PWM and Hybrid Space Vector PWM (HSVPWM). Researchers adequately prefer the use of HSVPWM because of their easier digital realization and better dc bus utilization. The advantages of HSVPWM are reduction of total harmonic distortion, improvement in output voltage and reduction of torque ripple in induction motor drives. This paper provides a comprehensive literature review on different topologies of HSVPWM. These includes Advanced Bus Clamped SVPWM (ABCSVPWM), Neutral Point Clamped SVPWM (NPCSVPWM) and Diode Clamped SVPWM (DCSVPWM).
{"title":"Hybrid space vector pulse width modulation voltage source inverter-a review","authors":"Sumit R. Patil, V. Kalkhambkar","doi":"10.1109/ICDMAI.2017.8073510","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073510","url":null,"abstract":"The latest trend in modern industrial application is the use of variable voltage supply to the AC drives from a three phase voltage source inverter (VSI). Different types of Pulse Width Modulation (PWM) scheme are used to modulate output voltage of VSI. The most commonly used PWM schemes for three-phase VSI are carrier-based sinusoidal PWM and Hybrid Space Vector PWM (HSVPWM). Researchers adequately prefer the use of HSVPWM because of their easier digital realization and better dc bus utilization. The advantages of HSVPWM are reduction of total harmonic distortion, improvement in output voltage and reduction of torque ripple in induction motor drives. This paper provides a comprehensive literature review on different topologies of HSVPWM. These includes Advanced Bus Clamped SVPWM (ABCSVPWM), Neutral Point Clamped SVPWM (NPCSVPWM) and Diode Clamped SVPWM (DCSVPWM).","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127558141","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 : 2017-02-01DOI: 10.1109/ICDMAI.2017.8073525
Vivek Bardia, Crs Kumar
With technology at our fingertips waiting to be exploited, the past decade saw the revolutionizing Human Computer Interactions. The ease with which a user could interact was the Unique Selling Proposition (USP) of a sales team. Human Computer Interactions have many underlying parameters like Data Visualization and Presentation as some to deal with. With the race, on for better and faster presentations, evolved many frameworks to be widely used by all software developers. As the need grew for user friendly applications, more and more software professionals were lured into the front-end sophistication domain. Application frameworks have evolved to such an extent that with just a few clicks and feeding values as per requirements we are able to produce a commercially usable application in a few minutes. These frameworks generate quantum lines of codes in minutes which leaves a contrail of bugs to be discovered in the future. We have also succumbed to the benchmarking in Software Quality Metrics and have made ourselves comfortable with buggy software's to be rectified in future. The exponential evolution in the cyber domain has also attracted attackers equally. Average human awareness and knowledge has also improved in the cyber domain due to the prolonged exposure to technology for over three decades. As the attack sophistication grows and zero day attacks become more popular than ever, the suffering end users only receive remedial measures in spite of the latest Antivirus, Intrusion Detection and Protection Systems installed. We designed a software to display the complete services and applications running in users Operating System in the easiest perceivable manner aided by Computer Graphics and Data Visualization techniques. We further designed a study by empowering the fence sitter users with tools to actively participate in protecting themselves from threats. The designed threats had impressions from the complete threat canvas in some form or other restricted to systems functioning. Network threats and any sort of packet transfer to and from the system in form of threat was kept out of the scope of this experiment. We discovered that end users had a good idea of their working environment which can be used exponentially enhances machine learning for zero day threats and segment the unmarked the vast threat landscape faster for a more reliable output.
{"title":"Process trees & service chains can serve us to mitigate zero day attacks better","authors":"Vivek Bardia, Crs Kumar","doi":"10.1109/ICDMAI.2017.8073525","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073525","url":null,"abstract":"With technology at our fingertips waiting to be exploited, the past decade saw the revolutionizing Human Computer Interactions. The ease with which a user could interact was the Unique Selling Proposition (USP) of a sales team. Human Computer Interactions have many underlying parameters like Data Visualization and Presentation as some to deal with. With the race, on for better and faster presentations, evolved many frameworks to be widely used by all software developers. As the need grew for user friendly applications, more and more software professionals were lured into the front-end sophistication domain. Application frameworks have evolved to such an extent that with just a few clicks and feeding values as per requirements we are able to produce a commercially usable application in a few minutes. These frameworks generate quantum lines of codes in minutes which leaves a contrail of bugs to be discovered in the future. We have also succumbed to the benchmarking in Software Quality Metrics and have made ourselves comfortable with buggy software's to be rectified in future. The exponential evolution in the cyber domain has also attracted attackers equally. Average human awareness and knowledge has also improved in the cyber domain due to the prolonged exposure to technology for over three decades. As the attack sophistication grows and zero day attacks become more popular than ever, the suffering end users only receive remedial measures in spite of the latest Antivirus, Intrusion Detection and Protection Systems installed. We designed a software to display the complete services and applications running in users Operating System in the easiest perceivable manner aided by Computer Graphics and Data Visualization techniques. We further designed a study by empowering the fence sitter users with tools to actively participate in protecting themselves from threats. The designed threats had impressions from the complete threat canvas in some form or other restricted to systems functioning. Network threats and any sort of packet transfer to and from the system in form of threat was kept out of the scope of this experiment. We discovered that end users had a good idea of their working environment which can be used exponentially enhances machine learning for zero day threats and segment the unmarked the vast threat landscape faster for a more reliable output.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114613482","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 : 2017-02-01DOI: 10.1109/ICDMAI.2017.8073480
R. Rajasekaran, S. Manikandaraj, R. Kamaleshwar
A greater interest arises in reducing our energy needs as electrical energy becomes more costly and the environmental effects of fossils become more deceptive. Objectives to find new ways of making our everyday lives more energy efficient have now became an essential part of the tussle to sustain our present quality of living. This project targets domestic usage which has a more direct approach in changing the way we consume energy. In this project we take up House Hold Loads as the application but this project can also be applied for large industrial loads. Smart energy metering and normalized energy data on load usage are one of the major goal setters for the future smart grid and improved energy efficiency in smart homes. Load Monitoring (LM) is essential for energy management and cost fixing. To obtain appliance-specific energy consumption statistics that can further be used to formulate load scheduling strategies for optimal energy utilization, disaggregation of Load is essential. Non-Intrusive Load Monitoring (NILM) is an alternative and best method for Load Disaggregation, as it can distinguish devices from the aggregated data measured at only a centralized location. In this paper we provide an experimental idea of using NILM technology by actually implementing sub-metering system for each load to forecast its futuristic development on the basis of bin packing algorithms and feedback systems controlled by the Machine Learning Algorithm to end up with an energy efficient smart home and smart grids.
{"title":"Implementation of Machine Learning Algorithm for predicting user behavior and smart energy management","authors":"R. Rajasekaran, S. Manikandaraj, R. Kamaleshwar","doi":"10.1109/ICDMAI.2017.8073480","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073480","url":null,"abstract":"A greater interest arises in reducing our energy needs as electrical energy becomes more costly and the environmental effects of fossils become more deceptive. Objectives to find new ways of making our everyday lives more energy efficient have now became an essential part of the tussle to sustain our present quality of living. This project targets domestic usage which has a more direct approach in changing the way we consume energy. In this project we take up House Hold Loads as the application but this project can also be applied for large industrial loads. Smart energy metering and normalized energy data on load usage are one of the major goal setters for the future smart grid and improved energy efficiency in smart homes. Load Monitoring (LM) is essential for energy management and cost fixing. To obtain appliance-specific energy consumption statistics that can further be used to formulate load scheduling strategies for optimal energy utilization, disaggregation of Load is essential. Non-Intrusive Load Monitoring (NILM) is an alternative and best method for Load Disaggregation, as it can distinguish devices from the aggregated data measured at only a centralized location. In this paper we provide an experimental idea of using NILM technology by actually implementing sub-metering system for each load to forecast its futuristic development on the basis of bin packing algorithms and feedback systems controlled by the Machine Learning Algorithm to end up with an energy efficient smart home and smart grids.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123412145","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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