Pub Date : 2018-02-01DOI: 10.1109/AEEICB.2018.8480982
D. Vanitha, M. Rathinakumar
Buck-Boost Converter with Coupled-Inductor (BBCCI) can be utilized to equivalent the DC-input source-voltage with the load-voltage. Current mode-regulator can be utilized to synchronize the output-voltage of the BBCCI system. Modeling and regulation of BBCCI becomes an important issue. This paper deals with modeling and simulation of closed-loop BBCCI system through current mode-regulator using MATLAB. The goal of this work is to enhance the lively response of the closed-loop BBCCI system utilizing current mode regulation. The closed-loop controlled BBCCI systems with voltage mode and current modes are modeled, simulated and the outcomes are analyzed. The outcomes denote that the lively response is improved using CM controller. The recommended system has benefits like low THD, low settling-time and steady-state error. The hardware is fabricated and tested. The experimental results match with the simulation results of BBCCI.
{"title":"Current Mode Controlled PV Based Buck Boost Converter System Using Coupled Inductor with Reduced Current Ripple","authors":"D. Vanitha, M. Rathinakumar","doi":"10.1109/AEEICB.2018.8480982","DOIUrl":"https://doi.org/10.1109/AEEICB.2018.8480982","url":null,"abstract":"Buck-Boost Converter with Coupled-Inductor (BBCCI) can be utilized to equivalent the DC-input source-voltage with the load-voltage. Current mode-regulator can be utilized to synchronize the output-voltage of the BBCCI system. Modeling and regulation of BBCCI becomes an important issue. This paper deals with modeling and simulation of closed-loop BBCCI system through current mode-regulator using MATLAB. The goal of this work is to enhance the lively response of the closed-loop BBCCI system utilizing current mode regulation. The closed-loop controlled BBCCI systems with voltage mode and current modes are modeled, simulated and the outcomes are analyzed. The outcomes denote that the lively response is improved using CM controller. The recommended system has benefits like low THD, low settling-time and steady-state error. The hardware is fabricated and tested. The experimental results match with the simulation results of BBCCI.","PeriodicalId":423671,"journal":{"name":"2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB)","volume":"59 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123252973","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 : 2018-02-01DOI: 10.1109/AEEICB.2018.8480856
S. Malathy, J. Geetha, A. Suresh, S. Priya
Monitoring security at the border and prevention of intruders attack are the challenging problems in every developed country. Wireless sensor network are the effective solution for constructing the monitoring system which possess a sensor nodes deployed randomly to detect any objects or events crossing in a particular region. Power conservation is the major criteria in wireless sensor network as the sensor nodes that are battery powered once deployed cannot be recharged in the field. This paper is focused on two major concepts for efficient detection of intruders with secured and efficient transmission by enhancing the network lifetime. In this work, an enhanced energy aware clustering algorithm by Ant approach (ACO) is used to detect any events or objects by balancing the power at each sensor nodes and also to maximize the lifetime of the network. Authentication is done by implementing Elliptical Curve Cryptography which provides keys for limited and authorized users for efficient and secured data transmission in WSN.
{"title":"Implementing Elliptic Curve Cryptography with ACO Based Algorithm in Clustered WSN for Border Surveillance","authors":"S. Malathy, J. Geetha, A. Suresh, S. Priya","doi":"10.1109/AEEICB.2018.8480856","DOIUrl":"https://doi.org/10.1109/AEEICB.2018.8480856","url":null,"abstract":"Monitoring security at the border and prevention of intruders attack are the challenging problems in every developed country. Wireless sensor network are the effective solution for constructing the monitoring system which possess a sensor nodes deployed randomly to detect any objects or events crossing in a particular region. Power conservation is the major criteria in wireless sensor network as the sensor nodes that are battery powered once deployed cannot be recharged in the field. This paper is focused on two major concepts for efficient detection of intruders with secured and efficient transmission by enhancing the network lifetime. In this work, an enhanced energy aware clustering algorithm by Ant approach (ACO) is used to detect any events or objects by balancing the power at each sensor nodes and also to maximize the lifetime of the network. Authentication is done by implementing Elliptical Curve Cryptography which provides keys for limited and authorized users for efficient and secured data transmission in WSN.","PeriodicalId":423671,"journal":{"name":"2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121191988","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 : 2018-02-01DOI: 10.1109/AEEICB.2018.8480968
P. Malathi, G. R. Sureshw, M. Moorthi
Laryngectomees lose their voice box after surgery and adapt various methods to restore their voice, one of them being Electrolaryngeal speech. The Electrolarynx suffers from producing natural speech by generating mechanical form of speech with suppressed unvoiced features, device and environment noise. This paper tends to remove the echo noise, device noise and environmental noise thereby enhancing the Electrolaryngeal speech to be more intelligible by spectral mapping using Gaussian Mixture Model (GMM) and auditory masking. The low frequency noise is masked by the pre-emphasised speech signal by determining the absolute threshold of masking. The spectral mapping technique using GMM based voice conversion in association with the source-filter model improves the voice quality and prosody. The objective and subjective evaluation measures, depict the significant enhancement of electrolaryngeal speech compared to previous enhancement methods which removed only low frequency noise and failed to include voice quality.
{"title":"Enhancement of electrolaryngeal speech using Frequency Auditory Masking and GMM based voice conversion","authors":"P. Malathi, G. R. Sureshw, M. Moorthi","doi":"10.1109/AEEICB.2018.8480968","DOIUrl":"https://doi.org/10.1109/AEEICB.2018.8480968","url":null,"abstract":"Laryngectomees lose their voice box after surgery and adapt various methods to restore their voice, one of them being Electrolaryngeal speech. The Electrolarynx suffers from producing natural speech by generating mechanical form of speech with suppressed unvoiced features, device and environment noise. This paper tends to remove the echo noise, device noise and environmental noise thereby enhancing the Electrolaryngeal speech to be more intelligible by spectral mapping using Gaussian Mixture Model (GMM) and auditory masking. The low frequency noise is masked by the pre-emphasised speech signal by determining the absolute threshold of masking. The spectral mapping technique using GMM based voice conversion in association with the source-filter model improves the voice quality and prosody. The objective and subjective evaluation measures, depict the significant enhancement of electrolaryngeal speech compared to previous enhancement methods which removed only low frequency noise and failed to include voice quality.","PeriodicalId":423671,"journal":{"name":"2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127787517","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 : 2018-02-01DOI: 10.1109/AEEICB.2018.8481005
R. Puviarasi, Mritha Ramalingam, Elanchezhian Chinnavan, Ajay Kalayan
Nowadays, the movement control is troublesome for the expanding traffic. The quick addition in vehicular excursions without relating growing in street space is achieving generous blockage in various parts. This makes trouble for the emergency vehicles such as ambulance, fire emergency and VIP vehicles to travel through the congested traffic. By analyzing different proposed systems, another arrangement can be actualized by making the traffic lights somewhat wise. To this issue, a framework utilizing computational intelligence is proposed to assign clear path for the emergency vehicles with the utilization of RF transponder and microcontroller. The significant part of this work is focused on reducing the inertness of the emergency vehicles with least interruption to customary traffic stream.
{"title":"Design of Intelligent Traffic Controlling System using RF Transponder","authors":"R. Puviarasi, Mritha Ramalingam, Elanchezhian Chinnavan, Ajay Kalayan","doi":"10.1109/AEEICB.2018.8481005","DOIUrl":"https://doi.org/10.1109/AEEICB.2018.8481005","url":null,"abstract":"Nowadays, the movement control is troublesome for the expanding traffic. The quick addition in vehicular excursions without relating growing in street space is achieving generous blockage in various parts. This makes trouble for the emergency vehicles such as ambulance, fire emergency and VIP vehicles to travel through the congested traffic. By analyzing different proposed systems, another arrangement can be actualized by making the traffic lights somewhat wise. To this issue, a framework utilizing computational intelligence is proposed to assign clear path for the emergency vehicles with the utilization of RF transponder and microcontroller. The significant part of this work is focused on reducing the inertness of the emergency vehicles with least interruption to customary traffic stream.","PeriodicalId":423671,"journal":{"name":"2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB)","volume":"34 22","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132286636","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 : 2018-02-01DOI: 10.1109/AEEICB.2018.8481001
Madhavi Katamaneni, Geetha Guttikonda, M. Suneetha
Decision tree algorithm is most popular for classification in machine learning and uses discrete data for classification. Information gain or Gini index is used for the entropy calculation in order to classify the given data. Decision tree can be implemented in several programming languages and many data mining tools uses this algorithm. Every implementation has its own advantages and disadvantages. To understand the difference between two implementations R-studio and Java. This paper explains about two different implementation methods gives the best one among two. We mainly focus on pros and cons of these two implementation methods
{"title":"Implementing of Decision Tree Algorithm using R-Studio and Java","authors":"Madhavi Katamaneni, Geetha Guttikonda, M. Suneetha","doi":"10.1109/AEEICB.2018.8481001","DOIUrl":"https://doi.org/10.1109/AEEICB.2018.8481001","url":null,"abstract":"Decision tree algorithm is most popular for classification in machine learning and uses discrete data for classification. Information gain or Gini index is used for the entropy calculation in order to classify the given data. Decision tree can be implemented in several programming languages and many data mining tools uses this algorithm. Every implementation has its own advantages and disadvantages. To understand the difference between two implementations R-studio and Java. This paper explains about two different implementation methods gives the best one among two. We mainly focus on pros and cons of these two implementation methods","PeriodicalId":423671,"journal":{"name":"2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115314774","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 : 2018-02-01DOI: 10.1109/AEEICB.2018.8480946
Vaibhav V. Ukarande, Gaurav R Bhalekar
The main objective of the Intelligent transportation system (ITS) is to resolve traffic problems and minimize the no. of accidents on the road. The annual accident report of 2015 by the government of India highlights the accidents based on a classification of Junction type. The junctions are of different types like T-Junction, Y- Junction, Staggered Junction, Roundabout Junction, Four-arm Junction out of which according to this report, T-Junction accounts for highest number of deaths. This paper proposes Zigbee based advanced driver assistance system to avoid accidents at T-Junction in India. This system mainly focused for night time where traffic signals are generally off and during night time drivers drive the vehicles roughly and while taking a turn at the T-Junction more care should be taken so as to avoid the possibility of accidents. Our system is consists of one Master node and three Auxiliary nodes each Auxiliary node comprised of Arduino Uno board, Ultrasonic sensors and Zigbee S1 module deployed at a distance of 50 meters before the turn and ultrasonic sensors deployed near the speed breaker which will detect the presence of vehicle coming to the junction and it will send a message to the Master node which consists of Arduino Mega board, Zigbee module and display board deployed at the centre of T-Junction. In our case, we have implemented our system on test board and we have got promising results.
{"title":"Advanced Driver Assistance System (ADAS) to avoid accidents at T-Junction in India","authors":"Vaibhav V. Ukarande, Gaurav R Bhalekar","doi":"10.1109/AEEICB.2018.8480946","DOIUrl":"https://doi.org/10.1109/AEEICB.2018.8480946","url":null,"abstract":"The main objective of the Intelligent transportation system (ITS) is to resolve traffic problems and minimize the no. of accidents on the road. The annual accident report of 2015 by the government of India highlights the accidents based on a classification of Junction type. The junctions are of different types like T-Junction, Y- Junction, Staggered Junction, Roundabout Junction, Four-arm Junction out of which according to this report, T-Junction accounts for highest number of deaths. This paper proposes Zigbee based advanced driver assistance system to avoid accidents at T-Junction in India. This system mainly focused for night time where traffic signals are generally off and during night time drivers drive the vehicles roughly and while taking a turn at the T-Junction more care should be taken so as to avoid the possibility of accidents. Our system is consists of one Master node and three Auxiliary nodes each Auxiliary node comprised of Arduino Uno board, Ultrasonic sensors and Zigbee S1 module deployed at a distance of 50 meters before the turn and ultrasonic sensors deployed near the speed breaker which will detect the presence of vehicle coming to the junction and it will send a message to the Master node which consists of Arduino Mega board, Zigbee module and display board deployed at the centre of T-Junction. In our case, we have implemented our system on test board and we have got promising results.","PeriodicalId":423671,"journal":{"name":"2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130594613","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 : 2018-02-01DOI: 10.1109/AEEICB.2018.8480974
Nilesh R. Ahire, Megha Fernandes, Sandeep Ushkewar, Yogesh Doke
The demand of power is increasing day by day in developing countries. It is required that the existing transmission interconnection network is utilized fully to deliver the power demanded, maintaining its quality. This paper intends to place shunt compensation at an optimal position so as to maintain the voltage at various buses in the network within a narrow range. MATLAB program is developed and load flow studies are tested on 14-bus system and optimal value as well as the position of the compensation is obtained. Finally the networks ability to be loaded is decided with given capacity of the compensation.
{"title":"Optimal Allocation Of Shunt Compensation And Maximum Loadability Assessment On IEEE-14 Bus Test System","authors":"Nilesh R. Ahire, Megha Fernandes, Sandeep Ushkewar, Yogesh Doke","doi":"10.1109/AEEICB.2018.8480974","DOIUrl":"https://doi.org/10.1109/AEEICB.2018.8480974","url":null,"abstract":"The demand of power is increasing day by day in developing countries. It is required that the existing transmission interconnection network is utilized fully to deliver the power demanded, maintaining its quality. This paper intends to place shunt compensation at an optimal position so as to maintain the voltage at various buses in the network within a narrow range. MATLAB program is developed and load flow studies are tested on 14-bus system and optimal value as well as the position of the compensation is obtained. Finally the networks ability to be loaded is decided with given capacity of the compensation.","PeriodicalId":423671,"journal":{"name":"2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125641825","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 : 2018-02-01DOI: 10.1109/AEEICB.2018.8480991
Hemant Kumar Soni
Association rule mining is an important approach to data mining. It extracts useful and hidden information. There are two methodologies to explore the association rules. One method is generating frequent pattern generation through apriori like algorithms whereas another methodology is by using the soft computing techniques especially genetic algorithm. Two important aspect which is most of the time unaddressed, is incremental data and multi-objective. Very few research work on incremental and multi-objective association rule mining has been done. This paper comprises of a comprehensive study of incremental data mining and a distinct study of genetic algorithms. It is observed that soft-computing technique perform better for association rules. There is also a need for Incremental algorithms which work better in the state of addition, deletion and modification of data. It is also found that strong need of Multi-objective Incremental association rule mining algorithm.
{"title":"Peculiarly Approaches for Association Rule Mining using Genetic Algorithm","authors":"Hemant Kumar Soni","doi":"10.1109/AEEICB.2018.8480991","DOIUrl":"https://doi.org/10.1109/AEEICB.2018.8480991","url":null,"abstract":"Association rule mining is an important approach to data mining. It extracts useful and hidden information. There are two methodologies to explore the association rules. One method is generating frequent pattern generation through apriori like algorithms whereas another methodology is by using the soft computing techniques especially genetic algorithm. Two important aspect which is most of the time unaddressed, is incremental data and multi-objective. Very few research work on incremental and multi-objective association rule mining has been done. This paper comprises of a comprehensive study of incremental data mining and a distinct study of genetic algorithms. It is observed that soft-computing technique perform better for association rules. There is also a need for Incremental algorithms which work better in the state of addition, deletion and modification of data. It is also found that strong need of Multi-objective Incremental association rule mining algorithm.","PeriodicalId":423671,"journal":{"name":"2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120993777","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 : 2018-02-01DOI: 10.1109/AEEICB.2018.8480977
Vivek D. Kore, Megha Fernandes, Nilesh R. Ahire
This paper deals with design of shunt active power filter using reference frame theory. To reduce total harmonic distortion (THD%) in source current below the IEEE standard-519 of 5% permissible limits, paper gives simulation on shunt active power filter using reference frame theory. The result shows that the distortion in source current and THD is reduced within the permissible limit.
{"title":"Design of Shunt Active Power Filter Using Reference Frame Theory For Power Quality Improvement","authors":"Vivek D. Kore, Megha Fernandes, Nilesh R. Ahire","doi":"10.1109/AEEICB.2018.8480977","DOIUrl":"https://doi.org/10.1109/AEEICB.2018.8480977","url":null,"abstract":"This paper deals with design of shunt active power filter using reference frame theory. To reduce total harmonic distortion (THD%) in source current below the IEEE standard-519 of 5% permissible limits, paper gives simulation on shunt active power filter using reference frame theory. The result shows that the distortion in source current and THD is reduced within the permissible limit.","PeriodicalId":423671,"journal":{"name":"2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127116373","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 : 2018-02-01DOI: 10.1109/AEEICB.2018.8480993
Selvi A Arivu, R. Amutha, K. Muthumeenakshi, Elizabeth. N Edna
Monitoring the physical activities of children is a vital task for parents/caretakers. The use of information and communication technologies (ICT) jointly with artificial intelligence and smart devices can help the parents to monitor their children. Thus the regular physical activities of children can be monitored with high precision and less difficulty. In this paper, a smart vest is designed for monitoring physical activities of children which will be able to let the caretakers/parents to remotely monitor the children activities with the inertial sensor embedded in vest. We have proposed a sparse based classification algorithm for activity classification. The wearable vest is built around the LilyPad Arduino as a microcontroller with an inertial accelerometer sensor. The transmission of the data is via Bluetooth module. The performance of proposed system is compared with other standard classifiers like k-NN, SVM and decision tree. The overall accuracy obtained is 95.32%.
{"title":"Design of Smart Vest to Monitor Physical Activities of Children","authors":"Selvi A Arivu, R. Amutha, K. Muthumeenakshi, Elizabeth. N Edna","doi":"10.1109/AEEICB.2018.8480993","DOIUrl":"https://doi.org/10.1109/AEEICB.2018.8480993","url":null,"abstract":"Monitoring the physical activities of children is a vital task for parents/caretakers. The use of information and communication technologies (ICT) jointly with artificial intelligence and smart devices can help the parents to monitor their children. Thus the regular physical activities of children can be monitored with high precision and less difficulty. In this paper, a smart vest is designed for monitoring physical activities of children which will be able to let the caretakers/parents to remotely monitor the children activities with the inertial sensor embedded in vest. We have proposed a sparse based classification algorithm for activity classification. The wearable vest is built around the LilyPad Arduino as a microcontroller with an inertial accelerometer sensor. The transmission of the data is via Bluetooth module. The performance of proposed system is compared with other standard classifiers like k-NN, SVM and decision tree. The overall accuracy obtained is 95.32%.","PeriodicalId":423671,"journal":{"name":"2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127861606","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：