Pub Date : 1900-01-01DOI: 10.1109/ICCCI.2018.8441340
S. Vishnupriya, K. Meenakshi
Music Genre classification is very important in today's world due to rapid growth in music tracks, both online and offline. In order to have better access to these we need to index them accordingly. Automatic music genre classification is important to obtain music from a large collection. Most of the current music genre classification techniques uses machine learning techniques. In this paper, we present a music dataset which includes ten different genres. A Deep Learning approach is used in order to train and classify the system. Here convolution neural network is used for training and classification. Feature Extraction is the most crucial task for audio analysis. Mel Frequency Cepstral Coefficient (MFCC) is used as a feature vector for sound sample. The proposed system classifies music into various genres by extracting the feature vector. Our results show that the accuracy level of our system is around 76% and it will greatly improve and facilitate automatic classification of music genres.
{"title":"Automatic Music Genre Classification using Convolution Neural Network","authors":"S. Vishnupriya, K. Meenakshi","doi":"10.1109/ICCCI.2018.8441340","DOIUrl":"https://doi.org/10.1109/ICCCI.2018.8441340","url":null,"abstract":"Music Genre classification is very important in today's world due to rapid growth in music tracks, both online and offline. In order to have better access to these we need to index them accordingly. Automatic music genre classification is important to obtain music from a large collection. Most of the current music genre classification techniques uses machine learning techniques. In this paper, we present a music dataset which includes ten different genres. A Deep Learning approach is used in order to train and classify the system. Here convolution neural network is used for training and classification. Feature Extraction is the most crucial task for audio analysis. Mel Frequency Cepstral Coefficient (MFCC) is used as a feature vector for sound sample. The proposed system classifies music into various genres by extracting the feature vector. Our results show that the accuracy level of our system is around 76% and it will greatly improve and facilitate automatic classification of music genres.","PeriodicalId":141663,"journal":{"name":"2018 International Conference on Computer Communication and Informatics (ICCCI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114635097","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 : 1900-01-01DOI: 10.1109/ICCCI.2018.8441478
Ankit Upadhyay, Prof. Uday Panwar
The execution of FIR channels on FPGA taking into account conventional technique costs significant equipment assets, which conflicts with the diminishing of circuit scale and increment of framework pace. FIR channels utilizing Arithmetic is utilized to build the asset use while pipeline structure is additionally used to expand the framework speed. Moreover, the isolated LUT strategy is additionally used to diminish the required memory units. FIR filter implemented using basic Arithmetic architecture is based on bit serial operation resulting in increase in delay with decrease in speed of operation. This is because the entire co-efficient are stored in single LUT. In Parallel DA architecture, instead of storing the co-efficient in single LUT as in traditional Arithmetic architecture, it is split into several ROM LUT's. All the LUT's are provided with different inputs at the same time, implying parallel mechanism. This increases the speed of operation.
{"title":"High Performance VLSI Architecture for Transpose Form FIR Filter using Integrated Module","authors":"Ankit Upadhyay, Prof. Uday Panwar","doi":"10.1109/ICCCI.2018.8441478","DOIUrl":"https://doi.org/10.1109/ICCCI.2018.8441478","url":null,"abstract":"The execution of FIR channels on FPGA taking into account conventional technique costs significant equipment assets, which conflicts with the diminishing of circuit scale and increment of framework pace. FIR channels utilizing Arithmetic is utilized to build the asset use while pipeline structure is additionally used to expand the framework speed. Moreover, the isolated LUT strategy is additionally used to diminish the required memory units. FIR filter implemented using basic Arithmetic architecture is based on bit serial operation resulting in increase in delay with decrease in speed of operation. This is because the entire co-efficient are stored in single LUT. In Parallel DA architecture, instead of storing the co-efficient in single LUT as in traditional Arithmetic architecture, it is split into several ROM LUT's. All the LUT's are provided with different inputs at the same time, implying parallel mechanism. This increases the speed of operation.","PeriodicalId":141663,"journal":{"name":"2018 International Conference on Computer Communication and Informatics (ICCCI)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114978693","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 : 1900-01-01DOI: 10.1109/ICCCI.2018.8441272
Priyal Chotwani, A. Tiwari, V. Deep, Purushottam Sharma
cardiovascular illness is the most widely recognized infection and many individuals are experiencing this malady from an extremely youthful age. It is the enormous purpose behind mortality. Accordingly it is imperative to analyze the issue and treat it on time before it turns out to be deadly. It is elusive the able specialists nowadays and also even a pro doesn't know about all the sub claim to fame so there is the need of computerized framework which can analyze the issue. A computerized framework will help in indicating how lethal the issue is and how soon it should be dealt with. This will likewise decrease the endeavors of a specialist to assemble all the moment subtle elements of the individual to look for the issue inside and out. Subsequently by diminishing time and exertion of a specialist and giving exact outcomes, this sickness can be dealt with on time and a man's life can be spared A robotized framework in healthful analysis would upgrade restorative care and it will likewise reduce prices. During this examination, we've got composed a framework that may proficiently notice the tenets to foresee the hazard level of patients seeable of the given parameter regarding their wellbeing. The rules are often organized in lightweight of the client's necessity. The execution of the framework is assessed as way as grouping accuracy and therefore the outcomes demonstrates that the framework has awing potential in foreseeing the coronary hazard level all the additional exactly.
{"title":"Heart Disease Prediction System using CART-C","authors":"Priyal Chotwani, A. Tiwari, V. Deep, Purushottam Sharma","doi":"10.1109/ICCCI.2018.8441272","DOIUrl":"https://doi.org/10.1109/ICCCI.2018.8441272","url":null,"abstract":"cardiovascular illness is the most widely recognized infection and many individuals are experiencing this malady from an extremely youthful age. It is the enormous purpose behind mortality. Accordingly it is imperative to analyze the issue and treat it on time before it turns out to be deadly. It is elusive the able specialists nowadays and also even a pro doesn't know about all the sub claim to fame so there is the need of computerized framework which can analyze the issue. A computerized framework will help in indicating how lethal the issue is and how soon it should be dealt with. This will likewise decrease the endeavors of a specialist to assemble all the moment subtle elements of the individual to look for the issue inside and out. Subsequently by diminishing time and exertion of a specialist and giving exact outcomes, this sickness can be dealt with on time and a man's life can be spared A robotized framework in healthful analysis would upgrade restorative care and it will likewise reduce prices. During this examination, we've got composed a framework that may proficiently notice the tenets to foresee the hazard level of patients seeable of the given parameter regarding their wellbeing. The rules are often organized in lightweight of the client's necessity. The execution of the framework is assessed as way as grouping accuracy and therefore the outcomes demonstrates that the framework has awing potential in foreseeing the coronary hazard level all the additional exactly.","PeriodicalId":141663,"journal":{"name":"2018 International Conference on Computer Communication and Informatics (ICCCI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124416832","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 : 1900-01-01DOI: 10.1109/ICCCI.2018.8441211
P. Sonawane, V. Savakhande, M. Chewale, R. Wanjari
This paper presents a optimization of PID controller using Taguchi method for Automatic voltage regulator system. Taguchi method has orthogonal array that depends on number of factors and their levels. Taguchi method is useful when system parameters are subjected to change in a given range. This method reduces the variability of the response by reducing the number of experiments. The number of experiments can be reduced by varying the multiple factors together. This reduces computational burden on the AVR system. The main objective of this method is to find the combination of factors such that the system has lower values of overshoot, Rise time, settling time and steady state error. MINITAB 17 software is used for taguchi approach. MATLAB/Simulink software is used for the simulation. This response is then compared with fuzzy logic controller. PID optimized with Taguchi method has better dynamic response than fuzzy logic controller method.
{"title":"Optimization of PID controller for Automatic voltage regulator system using Taguchi method","authors":"P. Sonawane, V. Savakhande, M. Chewale, R. Wanjari","doi":"10.1109/ICCCI.2018.8441211","DOIUrl":"https://doi.org/10.1109/ICCCI.2018.8441211","url":null,"abstract":"This paper presents a optimization of PID controller using Taguchi method for Automatic voltage regulator system. Taguchi method has orthogonal array that depends on number of factors and their levels. Taguchi method is useful when system parameters are subjected to change in a given range. This method reduces the variability of the response by reducing the number of experiments. The number of experiments can be reduced by varying the multiple factors together. This reduces computational burden on the AVR system. The main objective of this method is to find the combination of factors such that the system has lower values of overshoot, Rise time, settling time and steady state error. MINITAB 17 software is used for taguchi approach. MATLAB/Simulink software is used for the simulation. This response is then compared with fuzzy logic controller. PID optimized with Taguchi method has better dynamic response than fuzzy logic controller method.","PeriodicalId":141663,"journal":{"name":"2018 International Conference on Computer Communication and Informatics (ICCCI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129104037","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 : 1900-01-01DOI: 10.1109/ICCCI.2018.8441288
V. Savakhande, M. Chewale, P. Sonawane, R. Wanjari
This work introduces a ‘non-isolated enormous-voltage-boosting DC-DC converter’. The proposed converter combines a three winding coupled inductor and voltage extension circuit. This converter provides large step-up voltage conversion ratio with reasonable duty cycle, great utilization of leakage energy, elimination of high voltage spikes on the switch. Due to such superiority, allowing utilization of low resistance $mathbf{R}_{mathbf{D}mathbf{S}(mathbf{o}mathbf{n})}$ MOSFET switch. The operating principle and steady state analysis of continuous conduction mode (CCM) are discussed in detail. The MATLAB simulation results for 20V/400V, 250W non-isolated enormous-voltage boosting DC-DC converter are provided to verify the virtue of the proposed converter.
{"title":"Non-Isolated Enormous-Voltage-Boosting DC-DC Converter for High Step-up Application","authors":"V. Savakhande, M. Chewale, P. Sonawane, R. Wanjari","doi":"10.1109/ICCCI.2018.8441288","DOIUrl":"https://doi.org/10.1109/ICCCI.2018.8441288","url":null,"abstract":"This work introduces a ‘non-isolated enormous-voltage-boosting DC-DC converter’. The proposed converter combines a three winding coupled inductor and voltage extension circuit. This converter provides large step-up voltage conversion ratio with reasonable duty cycle, great utilization of leakage energy, elimination of high voltage spikes on the switch. Due to such superiority, allowing utilization of low resistance $mathbf{R}_{mathbf{D}mathbf{S}(mathbf{o}mathbf{n})}$ MOSFET switch. The operating principle and steady state analysis of continuous conduction mode (CCM) are discussed in detail. The MATLAB simulation results for 20V/400V, 250W non-isolated enormous-voltage boosting DC-DC converter are provided to verify the virtue of the proposed converter.","PeriodicalId":141663,"journal":{"name":"2018 International Conference on Computer Communication and Informatics (ICCCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131071031","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 : 1900-01-01DOI: 10.1109/ICCCI.2018.8441345
R. Wanjari, V. Savakhande, M. Chewale, P. Sonawane
Aim of this paper is to reduce the cost of power quality converter. There are several types of converter used to control or enhance the power quality i.e., twelve switch, Nine switch power conditioner. Nine switch converter incorporates less number of switches as compare to twelve switches of back-back converter. But due to its complicated controlling strategies several limitations in the entire achievable amplitude at its output depending on the phase shift between its two sets of terminal. But with improvement in the appropriate design control scheme for nine switch converter it reflects improvement of total power quality and justify its part as a power conditioner with reduced cost of semiconductor. The proposed power conditioner introduces only eight-switche, hybrid filter, four switch two leg inverter and six switch dynamic voltage restorer. It is capable of controlling voltage sag and also other unit for compensation of current harmonics.
{"title":"UPQC using eight switch power converter for power quality enhancement and voltage sag alleviation","authors":"R. Wanjari, V. Savakhande, M. Chewale, P. Sonawane","doi":"10.1109/ICCCI.2018.8441345","DOIUrl":"https://doi.org/10.1109/ICCCI.2018.8441345","url":null,"abstract":"Aim of this paper is to reduce the cost of power quality converter. There are several types of converter used to control or enhance the power quality i.e., twelve switch, Nine switch power conditioner. Nine switch converter incorporates less number of switches as compare to twelve switches of back-back converter. But due to its complicated controlling strategies several limitations in the entire achievable amplitude at its output depending on the phase shift between its two sets of terminal. But with improvement in the appropriate design control scheme for nine switch converter it reflects improvement of total power quality and justify its part as a power conditioner with reduced cost of semiconductor. The proposed power conditioner introduces only eight-switche, hybrid filter, four switch two leg inverter and six switch dynamic voltage restorer. It is capable of controlling voltage sag and also other unit for compensation of current harmonics.","PeriodicalId":141663,"journal":{"name":"2018 International Conference on Computer Communication and Informatics (ICCCI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125502952","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 : 1900-01-01DOI: 10.1109/ICCCI.2018.8441500
R. Mishra, N. K. Shukla, M. Atif, C. Dwivedi
High data rates can be achieved using DWDM technology over optical fiber. Optical signals having different frequencies are modulated in DWDM system and then these signals are multiplexed into a single stream of light that is sent over optical fiber cable. Here, DWDM system performance is being compared under different modulation formats (NRZ, RZ, and CSRZ) and at different power levels. For the comparative study 8 data channels are taken through which signals are being transmitted. The various components that have been used here are EDFA, dispersion compensation fiber (DCF) of length 14 km along with single mode fiber (SMF) of length 86 km. System is operating at 10 Gbps with link length of 86 km at a wavelength of 1550 nm. The effective modulation format which will effectively increase the system performance without a change in previous design is presented. The system performance is evaluated on the basis of Quality factor (Q-factor) and Bit Error Rate (BER). The performance of system provides acceptable result with CSRZ modulation with much-reduced BER and increase in Quality Factor (Q-factor). DWDM system is designed and simulated on Optisytem software provided by Optiwave.
{"title":"Performance Analysis of 8 Channel DWDM Systems via Dispersion Compensation Fiber Using NRZ, RZ, CSRZ Modulation Schemes","authors":"R. Mishra, N. K. Shukla, M. Atif, C. Dwivedi","doi":"10.1109/ICCCI.2018.8441500","DOIUrl":"https://doi.org/10.1109/ICCCI.2018.8441500","url":null,"abstract":"High data rates can be achieved using DWDM technology over optical fiber. Optical signals having different frequencies are modulated in DWDM system and then these signals are multiplexed into a single stream of light that is sent over optical fiber cable. Here, DWDM system performance is being compared under different modulation formats (NRZ, RZ, and CSRZ) and at different power levels. For the comparative study 8 data channels are taken through which signals are being transmitted. The various components that have been used here are EDFA, dispersion compensation fiber (DCF) of length 14 km along with single mode fiber (SMF) of length 86 km. System is operating at 10 Gbps with link length of 86 km at a wavelength of 1550 nm. The effective modulation format which will effectively increase the system performance without a change in previous design is presented. The system performance is evaluated on the basis of Quality factor (Q-factor) and Bit Error Rate (BER). The performance of system provides acceptable result with CSRZ modulation with much-reduced BER and increase in Quality Factor (Q-factor). DWDM system is designed and simulated on Optisytem software provided by Optiwave.","PeriodicalId":141663,"journal":{"name":"2018 International Conference on Computer Communication and Informatics (ICCCI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123101197","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 : 1900-01-01DOI: 10.1109/ICCCI.2018.8441432
Hari Raghav, S. Devi, Nandhini Rengaraj, Elaveyini Thanranikumar
This paper gives a study of the major risk factors which lead to preterm delivery in women. Preterm birth is the leading cause of perinatal morbidity and mortality worldwide. For the prediction of preterm delivery, inputs such as the height of the mother (maternal height), gravida (number of pregnancies) and para (number of pregnancies which crossed minimum gestational age) are used. To train the model for prediction, soft computing techniques such as Softmax regression using Neural Networks and Gradient Descent Optimizer are used. The success rate of prediction obtained is 89.99% with a stepwise cost of 0.52 on average. Hence, this model proves as a reliable predictor to identify women with a high risk of preterm, so as to provide sufficient time to plan for required antenatal and clinical interventions during pregnancy.
{"title":"Prediction of Preterm Pregnancies using Soft Computing techniques Neural Networks and Gradient Descent Optimizer","authors":"Hari Raghav, S. Devi, Nandhini Rengaraj, Elaveyini Thanranikumar","doi":"10.1109/ICCCI.2018.8441432","DOIUrl":"https://doi.org/10.1109/ICCCI.2018.8441432","url":null,"abstract":"This paper gives a study of the major risk factors which lead to preterm delivery in women. Preterm birth is the leading cause of perinatal morbidity and mortality worldwide. For the prediction of preterm delivery, inputs such as the height of the mother (maternal height), gravida (number of pregnancies) and para (number of pregnancies which crossed minimum gestational age) are used. To train the model for prediction, soft computing techniques such as Softmax regression using Neural Networks and Gradient Descent Optimizer are used. The success rate of prediction obtained is 89.99% with a stepwise cost of 0.52 on average. Hence, this model proves as a reliable predictor to identify women with a high risk of preterm, so as to provide sufficient time to plan for required antenatal and clinical interventions during pregnancy.","PeriodicalId":141663,"journal":{"name":"2018 International Conference on Computer Communication and Informatics (ICCCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116065219","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 : 1900-01-01DOI: 10.1109/ICCCI.2018.8441513
B. Ramakrishna, S. K. M. Rao
Extracting data structures from dynamic real-time data records is gaining prominence across industries. The need for massive mining of data sequences is increasingly observed in a wide range of user applications including social network platforms, banking sector, genomics, telecom sector, e-commerce and other sectors. To analyse multiple streams of data that is, for understanding rapid sequences of data flowing at continuous intervals, researchers are focusing on continuous improvements in data stream mining. Application of data mining models (like classifiers) in data streaming scenario mandates accurate detection of data distribution. Further, the model should adapt quickly to any variations in the distribution patterns to ensure the sustained performance of model predictability. Referred to as drift detection, the process can be gradual or abrupt. Extensive research has been made, designing several algorithms to accurately detect the type of drift and to adapt to shifts drift approaches. However, even the most reputed concept drift models have limited ability to adapt to both types of drift. The relationship between the adaptability and predictor variables is based on data distribution features and its sensitivity to in-built parameters. In this context, concept drift detection using attribute pattern weight (APW) is proposed here in this manuscript. Unlike the many of existing models, the proposed model is not dependent of any of the process targeted to apply on streaming data. The other significance of the proposed model is to detect the both types of concept drift that is gradual or abrupt. The experimental study that carried is evincing the scalability and robustness, and significance of the proposed model.
{"title":"Attribute Pattern Weights (APW): A Scale to Detect Concept Drift in Data Stream Mining Models","authors":"B. Ramakrishna, S. K. M. Rao","doi":"10.1109/ICCCI.2018.8441513","DOIUrl":"https://doi.org/10.1109/ICCCI.2018.8441513","url":null,"abstract":"Extracting data structures from dynamic real-time data records is gaining prominence across industries. The need for massive mining of data sequences is increasingly observed in a wide range of user applications including social network platforms, banking sector, genomics, telecom sector, e-commerce and other sectors. To analyse multiple streams of data that is, for understanding rapid sequences of data flowing at continuous intervals, researchers are focusing on continuous improvements in data stream mining. Application of data mining models (like classifiers) in data streaming scenario mandates accurate detection of data distribution. Further, the model should adapt quickly to any variations in the distribution patterns to ensure the sustained performance of model predictability. Referred to as drift detection, the process can be gradual or abrupt. Extensive research has been made, designing several algorithms to accurately detect the type of drift and to adapt to shifts drift approaches. However, even the most reputed concept drift models have limited ability to adapt to both types of drift. The relationship between the adaptability and predictor variables is based on data distribution features and its sensitivity to in-built parameters. In this context, concept drift detection using attribute pattern weight (APW) is proposed here in this manuscript. Unlike the many of existing models, the proposed model is not dependent of any of the process targeted to apply on streaming data. The other significance of the proposed model is to detect the both types of concept drift that is gradual or abrupt. The experimental study that carried is evincing the scalability and robustness, and significance of the proposed model.","PeriodicalId":141663,"journal":{"name":"2018 International Conference on Computer Communication and Informatics (ICCCI)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121661244","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 : 1900-01-01DOI: 10.1109/ICCCI.2018.8441217
RB Sajyth, G. Sujatha
Mobile ad hoc network (MANET) requires extraneous energy effectualness and legion intelligence for which a best clustered based approach is pertained called the “Bee-Ad Hoc-C”. In MANET the mechanism of multi-hop routing is imperative but may leads to a challenging issue like lack of data privacy during communication. ECC (Elliptical Curve Cryptography) is integrated with the Bee clustering approach to provide an energy efficient and secure data delivery system. Even though it ensures data confidentiality, data reliability is still disputable such as data dropping attack, Black hole attack (Attacker router drops the data without forwarding to destination). In such cases the technique of overhearing is utilized by the neighbor routers and the packet forwarding statistics are measured based on the ratio between the received and forwarded packets. The presence of attack is detected if the packet forwarding ratio is poor in the network which paves a way to the alternate path identification for a reliable data transmission. The proposed work is an integration of SC-AODV along with ECC in Bee clustering approach with an extra added overhearing technique which n on the whole ensures data confidentiality, data reliability and energy efficiency.
移动自组织网络(MANET)需要额外的能量效率和大量的智能，为此提出了一种最佳的基于聚类的方法，称为“Bee-Ad hoc - c”。在MANET中，多跳路由机制是必不可少的，但也可能导致通信过程中缺乏数据保密性等难题。ECC(椭圆曲线加密)与Bee集群方法集成，提供节能和安全的数据传输系统。虽然保证了数据的保密性，但数据的可靠性仍然存在争议，如数据丢弃攻击、黑洞攻击(攻击者路由器丢弃数据而不转发到目的地)。在这种情况下，邻居路由器利用侦听技术，并根据接收和转发数据包之间的比率测量数据包转发统计信息。当网络中的报文转发率较低时，可以检测到是否存在攻击，从而为可靠的数据传输提供了替代路径识别的途径。提出的工作是将SC-AODV与ECC集成在Bee集群方法中，并增加了额外的监听技术，总体上确保了数据机密性，数据可靠性和能源效率。
{"title":"Design of Data Confidential and Reliable Bee Clustering Routing Protocol in MANET","authors":"RB Sajyth, G. Sujatha","doi":"10.1109/ICCCI.2018.8441217","DOIUrl":"https://doi.org/10.1109/ICCCI.2018.8441217","url":null,"abstract":"Mobile ad hoc network (MANET) requires extraneous energy effectualness and legion intelligence for which a best clustered based approach is pertained called the “Bee-Ad Hoc-C”. In MANET the mechanism of multi-hop routing is imperative but may leads to a challenging issue like lack of data privacy during communication. ECC (Elliptical Curve Cryptography) is integrated with the Bee clustering approach to provide an energy efficient and secure data delivery system. Even though it ensures data confidentiality, data reliability is still disputable such as data dropping attack, Black hole attack (Attacker router drops the data without forwarding to destination). In such cases the technique of overhearing is utilized by the neighbor routers and the packet forwarding statistics are measured based on the ratio between the received and forwarded packets. The presence of attack is detected if the packet forwarding ratio is poor in the network which paves a way to the alternate path identification for a reliable data transmission. The proposed work is an integration of SC-AODV along with ECC in Bee clustering approach with an extra added overhearing technique which n on the whole ensures data confidentiality, data reliability and energy efficiency.","PeriodicalId":141663,"journal":{"name":"2018 International Conference on Computer Communication and Informatics (ICCCI)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115180480","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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