Pub Date : 2017-05-01DOI: 10.1109/CCAA.2017.8229876
Rai Pal, R. Singh, Sanjoy Das
In a sensor network, the sensor devices are the most critical resources that contribute in the network communication. The physical features of the network including node energy, coverage capability and channel strength can affect the network communication. In this paper, a novel MAC protocol called EF-MAC is introduced to utilize the restricted capabilities and the communication features to optimize the network life. In this protocol, the featured attributes are applied at two layers. In first layer, the effective neighbours are shortlisted based on zone driven analysis. In second layer, the fading vector and the failure analysis is applied to identify effective intermediate node. The featured layered analysis is applied on each zone to generate the effective and reliable route. The comparative analysis shows that the method has improved the network life and reduced the error rate.
{"title":"Design and implementation of EF-MAC protocol to optimize WSN communication","authors":"Rai Pal, R. Singh, Sanjoy Das","doi":"10.1109/CCAA.2017.8229876","DOIUrl":"https://doi.org/10.1109/CCAA.2017.8229876","url":null,"abstract":"In a sensor network, the sensor devices are the most critical resources that contribute in the network communication. The physical features of the network including node energy, coverage capability and channel strength can affect the network communication. In this paper, a novel MAC protocol called EF-MAC is introduced to utilize the restricted capabilities and the communication features to optimize the network life. In this protocol, the featured attributes are applied at two layers. In first layer, the effective neighbours are shortlisted based on zone driven analysis. In second layer, the fading vector and the failure analysis is applied to identify effective intermediate node. The featured layered analysis is applied on each zone to generate the effective and reliable route. The comparative analysis shows that the method has improved the network life and reduced the error rate.","PeriodicalId":6627,"journal":{"name":"2017 International Conference on Computing, Communication and Automation (ICCCA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90909369","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 : 2017-05-01DOI: 10.1109/CCAA.2017.8229922
Parveen Kumar, P. Tomar
This paper defines the different categories of dynamic metric which are designed to measure component at run time based on the some parametric values. These parametric values help to define the execution flow of all components required to get the desired result. This paper focuses on dynamic metrics of component integration at run time. The dependency function measure the Component-Usage Metric and Component Interface Metric results the number of components called and executed during the rendering process. The aim of the paper is to enhance the performance and predict the quality of CBS in real-time dynamically.
{"title":"Design of dynamic metrics to measure component based software","authors":"Parveen Kumar, P. Tomar","doi":"10.1109/CCAA.2017.8229922","DOIUrl":"https://doi.org/10.1109/CCAA.2017.8229922","url":null,"abstract":"This paper defines the different categories of dynamic metric which are designed to measure component at run time based on the some parametric values. These parametric values help to define the execution flow of all components required to get the desired result. This paper focuses on dynamic metrics of component integration at run time. The dependency function measure the Component-Usage Metric and Component Interface Metric results the number of components called and executed during the rendering process. The aim of the paper is to enhance the performance and predict the quality of CBS in real-time dynamically.","PeriodicalId":6627,"journal":{"name":"2017 International Conference on Computing, Communication and Automation (ICCCA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91457305","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 : 2017-05-01DOI: 10.1109/CCAA.2017.8230036
Deepshikha Yadav, Puneet Azad
Alow-cost and low-power generic counting system prototype is proposed and designed in this paper for counting the occurrences of certain events. A sensor strip was developed on a rough acrylic sheet by placing a very thin film (50ßm) of PTFE on aluminium with a gap between them. This strip requires no input power and is efficient for long term use due to its robustness. On applying a lateral force on PTFE, voltage spikes were generated, which acted as input data for Arduino Uno controller. After successful reduction of noise, a legitimate input pulse was registered and counter value was incremented on a 7 segment display. System was put under test in real-time environment and results were verified in accordance with the actual data.
{"title":"Design and implementation of robust low cost and low power prototype for generic counting system","authors":"Deepshikha Yadav, Puneet Azad","doi":"10.1109/CCAA.2017.8230036","DOIUrl":"https://doi.org/10.1109/CCAA.2017.8230036","url":null,"abstract":"Alow-cost and low-power generic counting system prototype is proposed and designed in this paper for counting the occurrences of certain events. A sensor strip was developed on a rough acrylic sheet by placing a very thin film (50ßm) of PTFE on aluminium with a gap between them. This strip requires no input power and is efficient for long term use due to its robustness. On applying a lateral force on PTFE, voltage spikes were generated, which acted as input data for Arduino Uno controller. After successful reduction of noise, a legitimate input pulse was registered and counter value was incremented on a 7 segment display. System was put under test in real-time environment and results were verified in accordance with the actual data.","PeriodicalId":6627,"journal":{"name":"2017 International Conference on Computing, Communication and Automation (ICCCA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76054198","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 : 2017-05-01DOI: 10.1109/CCAA.2017.8230029
P. K. Sharma, Hiranya Ranjan Thakur, J. Dutta
This paper presents the effects of different dielectrics used as gate insulating material in the enzyme field effect transistor (ENFET) device. Different insulating materials have different properties which put an impact on the device sensitivity. The acid and base equilibrium of the dielectrics bring changes to the ENFET sensitivity. The pHpzc (pH at point of zero charge) is different for different dielectric material which also results in variations in the surface potential. The device model was tested for substrate sample with pH varying from 2 to 12. The potential variation that occurs at the surface of the device due to change in gate insulator was recorded and compared. It was found that with different gate insulating materials, the sensitivity of the device also varies. Ta2O5 was recorded as the most sensitive device under certain assumptions as compared to other insulating materials like SiO2, Al2O3, ZrO2, HfO2 and TiO2. The sensitivity variation with temperature is also shown for different materials.
{"title":"Effect of different dielectric materials on enzyme field effect transistor","authors":"P. K. Sharma, Hiranya Ranjan Thakur, J. Dutta","doi":"10.1109/CCAA.2017.8230029","DOIUrl":"https://doi.org/10.1109/CCAA.2017.8230029","url":null,"abstract":"This paper presents the effects of different dielectrics used as gate insulating material in the enzyme field effect transistor (ENFET) device. Different insulating materials have different properties which put an impact on the device sensitivity. The acid and base equilibrium of the dielectrics bring changes to the ENFET sensitivity. The pHpzc (pH at point of zero charge) is different for different dielectric material which also results in variations in the surface potential. The device model was tested for substrate sample with pH varying from 2 to 12. The potential variation that occurs at the surface of the device due to change in gate insulator was recorded and compared. It was found that with different gate insulating materials, the sensitivity of the device also varies. Ta2O5 was recorded as the most sensitive device under certain assumptions as compared to other insulating materials like SiO2, Al2O3, ZrO2, HfO2 and TiO2. The sensitivity variation with temperature is also shown for different materials.","PeriodicalId":6627,"journal":{"name":"2017 International Conference on Computing, Communication and Automation (ICCCA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76384863","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 : 2017-05-01DOI: 10.1109/CCAA.2017.8230049
Shivani Ameta, Arvind Sharma, P. Inaniya
Biosensor is an analytical device used to detect the biological analyte, which can be antibodies enzymes cells or biomolecules. Biosensors have many applications like in environmental monitoring, biomedical research, and healthcare. In this paper we have proposed a nano-cavity coupled waveguide 2D photonic crystal biosensor which can be able to detect different blood components. This structure has a hexagonal symmetry that has area of 19×15μm2. Over the wafer of air dielectric rods of Si are introduced, which has refractive index of 3.6730, lattice constant of 690nm and radius of 220nm. Biosensor can detect Acetone, Tocopherol, Blood plasma, Cytop, Ethanol, Sylgard184, and Water. Simulation and analysis has been done and peak has been observed. For the analysis, FDTD method is used. A spectral shift has been occurred in transmission spectra due to change in refractive index. With the consideration of different components having different refractive indices, this property is expedient in the sensing application. In this paper design is allowed to operate in the wavelength range of 1500–1700nm.
{"title":"Nanocavity coupled waveguide photonic crystal biosensor for detection of different blood components","authors":"Shivani Ameta, Arvind Sharma, P. Inaniya","doi":"10.1109/CCAA.2017.8230049","DOIUrl":"https://doi.org/10.1109/CCAA.2017.8230049","url":null,"abstract":"Biosensor is an analytical device used to detect the biological analyte, which can be antibodies enzymes cells or biomolecules. Biosensors have many applications like in environmental monitoring, biomedical research, and healthcare. In this paper we have proposed a nano-cavity coupled waveguide 2D photonic crystal biosensor which can be able to detect different blood components. This structure has a hexagonal symmetry that has area of 19×15μm2. Over the wafer of air dielectric rods of Si are introduced, which has refractive index of 3.6730, lattice constant of 690nm and radius of 220nm. Biosensor can detect Acetone, Tocopherol, Blood plasma, Cytop, Ethanol, Sylgard184, and Water. Simulation and analysis has been done and peak has been observed. For the analysis, FDTD method is used. A spectral shift has been occurred in transmission spectra due to change in refractive index. With the consideration of different components having different refractive indices, this property is expedient in the sensing application. In this paper design is allowed to operate in the wavelength range of 1500–1700nm.","PeriodicalId":6627,"journal":{"name":"2017 International Conference on Computing, Communication and Automation (ICCCA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78571232","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}
Titanic disaster occurred 100 years ago on April 15, 1912, killing about 1500 passengers and crew members. The fateful incident still compel the researchers and analysts to understand what can have led to the survival of some passengers and demise of the others. With the use of machine learning methods and a dataset consisting of 891 rows in the train set and 418 rows in the test set, the research attempts to determine the correlation between factors such as age, sex, passenger class, fare etc. to the chance of survival of the passengers. These factors may or may not have impacted the survival rates of the passengers. In this research paper, various machine learning algorithms namely Logistic Regression, Naive Bayes, Decision Tree, Random Forest have been implemented to predict the survival of passengers. In particular, this research work compares the algorithm on the basis of the percentage of accuracy on a test dataset.
{"title":"Analyzing Titanic disaster using machine learning algorithms","authors":"Aakriti Singh, Shipra Saraswat, Neetu Faujdar","doi":"10.31142/ijtsrd7003","DOIUrl":"https://doi.org/10.31142/ijtsrd7003","url":null,"abstract":"Titanic disaster occurred 100 years ago on April 15, 1912, killing about 1500 passengers and crew members. The fateful incident still compel the researchers and analysts to understand what can have led to the survival of some passengers and demise of the others. With the use of machine learning methods and a dataset consisting of 891 rows in the train set and 418 rows in the test set, the research attempts to determine the correlation between factors such as age, sex, passenger class, fare etc. to the chance of survival of the passengers. These factors may or may not have impacted the survival rates of the passengers. In this research paper, various machine learning algorithms namely Logistic Regression, Naive Bayes, Decision Tree, Random Forest have been implemented to predict the survival of passengers. In particular, this research work compares the algorithm on the basis of the percentage of accuracy on a test dataset.","PeriodicalId":6627,"journal":{"name":"2017 International Conference on Computing, Communication and Automation (ICCCA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77095605","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 : 2017-05-01DOI: 10.1109/CCAA.2017.8229781
Pragya Gupta, G. Verma
Wild animal detection is an active research area since last many decades among wildlife researchers to study and analyze wild animals and their behavior. This paper presents sparse representation based wild animal detection system using Discriminative Feature-oriented Dictionary Learning (DFDL). DFDL extracts discriminative class-specific features and shows a low complexity method for animal detection. We acquired class-specific dictionaries allowed to represent a new image to identity of the class of the image. Concurrently, these dictionaries are incapable of representing the samples of other classes. The experiments are performed over in-house database compiled by us. We achieved promising results using DFDL with 93% accuracy.
{"title":"Wild animal detection using discriminative feature-oriented dictionary learning","authors":"Pragya Gupta, G. Verma","doi":"10.1109/CCAA.2017.8229781","DOIUrl":"https://doi.org/10.1109/CCAA.2017.8229781","url":null,"abstract":"Wild animal detection is an active research area since last many decades among wildlife researchers to study and analyze wild animals and their behavior. This paper presents sparse representation based wild animal detection system using Discriminative Feature-oriented Dictionary Learning (DFDL). DFDL extracts discriminative class-specific features and shows a low complexity method for animal detection. We acquired class-specific dictionaries allowed to represent a new image to identity of the class of the image. Concurrently, these dictionaries are incapable of representing the samples of other classes. The experiments are performed over in-house database compiled by us. We achieved promising results using DFDL with 93% accuracy.","PeriodicalId":6627,"journal":{"name":"2017 International Conference on Computing, Communication and Automation (ICCCA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75077464","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 : 2017-05-01DOI: 10.1109/CCAA.2017.8229978
Priyanka Takkar, Ashish Girdhar, V.P. Singh
Image Encryption is a technique to make the image unreadable. This can be achieved by realigning the pixel value of image or by changing the pixel value of an image. In this paper, an image encryption algorithm has been proposed where pixel value is changed using logistic map (diffusion) and position of pixel value is changed using flipping (confusion). The simulation result shows that encryption algorithm is easy to implement, secure and time efficient.
{"title":"Image encryption algorithm using chaotic sequences and flipping","authors":"Priyanka Takkar, Ashish Girdhar, V.P. Singh","doi":"10.1109/CCAA.2017.8229978","DOIUrl":"https://doi.org/10.1109/CCAA.2017.8229978","url":null,"abstract":"Image Encryption is a technique to make the image unreadable. This can be achieved by realigning the pixel value of image or by changing the pixel value of an image. In this paper, an image encryption algorithm has been proposed where pixel value is changed using logistic map (diffusion) and position of pixel value is changed using flipping (confusion). The simulation result shows that encryption algorithm is easy to implement, secure and time efficient.","PeriodicalId":6627,"journal":{"name":"2017 International Conference on Computing, Communication and Automation (ICCCA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75827571","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 : 2017-05-01DOI: 10.1109/CCAA.2017.8229790
Govind Singh Jethi, N. Belwal, S. Sunori, P. Juneja
Multiple antennas are used with suitable signaling methods in space time diversity techniques. A significant performance gains are achieved in presence of multipath fading with the use of diversity techniques. The signals on both the transmitter and receiver sides of the antennas are combined in such a way that the BER is improved. In this paper we discussed about diversity techniques to overcome the problem of multipath fading as we have taken three conditions i.e. no diversity, maximal ratio combining and ostbc and we have find that by diversity techniques the BER is being minimized. In the present paper, the performance of a BPSK system has been investigated for three different cases, one without using diversity technique, second using OSTBC diversity technique and the third with maximal ratio combining using MATLAB.
{"title":"Improvement in BER performance of BPSK system using diversity techniques","authors":"Govind Singh Jethi, N. Belwal, S. Sunori, P. Juneja","doi":"10.1109/CCAA.2017.8229790","DOIUrl":"https://doi.org/10.1109/CCAA.2017.8229790","url":null,"abstract":"Multiple antennas are used with suitable signaling methods in space time diversity techniques. A significant performance gains are achieved in presence of multipath fading with the use of diversity techniques. The signals on both the transmitter and receiver sides of the antennas are combined in such a way that the BER is improved. In this paper we discussed about diversity techniques to overcome the problem of multipath fading as we have taken three conditions i.e. no diversity, maximal ratio combining and ostbc and we have find that by diversity techniques the BER is being minimized. In the present paper, the performance of a BPSK system has been investigated for three different cases, one without using diversity technique, second using OSTBC diversity technique and the third with maximal ratio combining using MATLAB.","PeriodicalId":6627,"journal":{"name":"2017 International Conference on Computing, Communication and Automation (ICCCA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91162471","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 : 2017-05-01DOI: 10.1109/CCAA.2017.8229869
Surbhi Jain, Brahmjit Singh
Adaptive contention window algorithms are most commonly used in CSMA/CA to improve the throughput, fairness and reduce the latency and the collision probabilities in today's applications. All the calculations are done with keeping perfect carrier sensing in mind. There is a huge role played by sensing errors like probability of false alarm and probability of miss detection, in the carrier sensing process. In this paper we tried to find out a relationship between these sensing errors and the number of stations. It is being found out by simulations that at lower number of stations probability of false alarm is prominent, whereas at higher density of stations, probability of miss detection is more exclusively visible.
{"title":"Impact of imperfect sensing on performance of adaptive back-off algorithm for contention window of CSMA","authors":"Surbhi Jain, Brahmjit Singh","doi":"10.1109/CCAA.2017.8229869","DOIUrl":"https://doi.org/10.1109/CCAA.2017.8229869","url":null,"abstract":"Adaptive contention window algorithms are most commonly used in CSMA/CA to improve the throughput, fairness and reduce the latency and the collision probabilities in today's applications. All the calculations are done with keeping perfect carrier sensing in mind. There is a huge role played by sensing errors like probability of false alarm and probability of miss detection, in the carrier sensing process. In this paper we tried to find out a relationship between these sensing errors and the number of stations. It is being found out by simulations that at lower number of stations probability of false alarm is prominent, whereas at higher density of stations, probability of miss detection is more exclusively visible.","PeriodicalId":6627,"journal":{"name":"2017 International Conference on Computing, Communication and Automation (ICCCA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83755465","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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