Pub Date : 2017-05-01DOI: 10.1109/SSPS.2017.8071622
Uditi, M. Arun
This paper presents parallel implementations and includes performance analysis of three prominent graph algorithms (i.e., Bellman Ford, Floyd-Warshall and Dijkstra) used for finding the all-pairs of shortest paths. The algorithm implementations were parallelized using Open MP (Open Multi-Processing). Their performances were measured on 4 different configurations i.e. dual core i3, quad core i5, quad core i7 and 8 core processors. This paper also presents a comparative study of serial and parallel implementations of these algorithms keeping execution time and number of graph nodes as the parameter. Finally, the results show that, execution time can be reduced using parallel implementation for larger number of graph nodes. Also, the conclusions are drawn for the best algorithm to be used which works for all the graph nodes with less execution time.
{"title":"Comparative analysis of parallelised shortest path algorithms using Open MP","authors":"Uditi, M. Arun","doi":"10.1109/SSPS.2017.8071622","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071622","url":null,"abstract":"This paper presents parallel implementations and includes performance analysis of three prominent graph algorithms (i.e., Bellman Ford, Floyd-Warshall and Dijkstra) used for finding the all-pairs of shortest paths. The algorithm implementations were parallelized using Open MP (Open Multi-Processing). Their performances were measured on 4 different configurations i.e. dual core i3, quad core i5, quad core i7 and 8 core processors. This paper also presents a comparative study of serial and parallel implementations of these algorithms keeping execution time and number of graph nodes as the parameter. Finally, the results show that, execution time can be reduced using parallel implementation for larger number of graph nodes. Also, the conclusions are drawn for the best algorithm to be used which works for all the graph nodes with less execution time.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128416131","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/SSPS.2017.8071595
Rohan More, Rahul Kottath, R. Jegadeeshwaran, Vipan Kumar, V. Karar, Shashi Poddar
Visual odometry is a well-known technique that is used to compute the rotation and translation of any moving vehicle with the help of camera mounted over it. This task of vision-based navigation is used for different applications such as autonomous navigation, motion tracking and obstacle detection, etc. This paper illustrates an approach for estimating vehicle motion by detecting and matching scale invariant SURF feature over consequent image frames. These set of matched feature are passed through an outlier removal and inlier selection methodology sequentially in order to remove the inconsistent features. Additionally, the proposed scheme incorporates the bucketing technique to ensure spatial distribution of feature in the overall image space. The proposed scheme of inlier selection-cum-outlier rejection has been applied on the KITTI dataset available online and is found to work satisfactorily as compared to the individual outlier rejection or inlier selection mechanism.
{"title":"Improved pose estimation by inlier refinement for visual odometry","authors":"Rohan More, Rahul Kottath, R. Jegadeeshwaran, Vipan Kumar, V. Karar, Shashi Poddar","doi":"10.1109/SSPS.2017.8071595","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071595","url":null,"abstract":"Visual odometry is a well-known technique that is used to compute the rotation and translation of any moving vehicle with the help of camera mounted over it. This task of vision-based navigation is used for different applications such as autonomous navigation, motion tracking and obstacle detection, etc. This paper illustrates an approach for estimating vehicle motion by detecting and matching scale invariant SURF feature over consequent image frames. These set of matched feature are passed through an outlier removal and inlier selection methodology sequentially in order to remove the inconsistent features. Additionally, the proposed scheme incorporates the bucketing technique to ensure spatial distribution of feature in the overall image space. The proposed scheme of inlier selection-cum-outlier rejection has been applied on the KITTI dataset available online and is found to work satisfactorily as compared to the individual outlier rejection or inlier selection mechanism.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131225937","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/SSPS.2017.8071602
Chiniah Aatish, Ramluckun Pooja, Sanoo Manisha Singh
The IPv6 Learning Tool has been developed following the hype for the need of training in IPv6. As IPv4 is fading out and IPv6 is being adopted worldwide, moving along the same trend is becoming for businesses and even governmental organization. The Ministry of ICT has even initiated a national campaign for IPv6 awareness. However the lack of qualified resource persons and proper infrastructure has contributed to the slow pace of IPv6 training, hence the low rate of adoption. The IPv6 e-learning tool has been developed to educate the mass about IPv6 and related knowledge so as to make the transition as smooth as possible. The tool has been developed following the e-learning strategies and as such has contents in terms of text, audio and video. It allows the users to track their progress, and continuous assessments allow the tool to monitor the knowledge level acquired. The network configuration simulator allows the user to apply the knowledge acquired into practice by creating different types of networks, and simulated them.
{"title":"An IPv6 E-learning tool with integrated network configuration simulator","authors":"Chiniah Aatish, Ramluckun Pooja, Sanoo Manisha Singh","doi":"10.1109/SSPS.2017.8071602","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071602","url":null,"abstract":"The IPv6 Learning Tool has been developed following the hype for the need of training in IPv6. As IPv4 is fading out and IPv6 is being adopted worldwide, moving along the same trend is becoming for businesses and even governmental organization. The Ministry of ICT has even initiated a national campaign for IPv6 awareness. However the lack of qualified resource persons and proper infrastructure has contributed to the slow pace of IPv6 training, hence the low rate of adoption. The IPv6 e-learning tool has been developed to educate the mass about IPv6 and related knowledge so as to make the transition as smooth as possible. The tool has been developed following the e-learning strategies and as such has contents in terms of text, audio and video. It allows the users to track their progress, and continuous assessments allow the tool to monitor the knowledge level acquired. The network configuration simulator allows the user to apply the knowledge acquired into practice by creating different types of networks, and simulated them.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"238 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121192198","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/SSPS.2017.8071593
Gururaj Mukarambi, Satishkumar Mallapa, B. V. Dhandra
In this paper, an algorithm is proposed for Trilingual Script Identification System in block wise for camera captured images. The Local Binary Pattern (LBP) features are used for Kannada, Hindi and English images for testing the performance of a proposed algorithm, a dataset of 6000 neat block images are considered. For each script a total of 2000 images are used for the proposed method. The segmentation technique is used to segment the document image in blocks. Block of sizes 128×128, 256×256, 512×512 and 1024×1024 for Kannada, Hindi and English have been considered. The LBP features are extracted in 8 neighbors, there by generating 59 features and submitted to KNN and SVM classifiers to classify the underlying image. The identification accuracy for KNN and SVM classifiers are respectively 96.60% and 98.00% for block size 128×128, 98.71% and 98.07% for block size 256×256, 99.70% and 98.00% for block size 512×512 and further 94.90% and 99.01% for block size 1024×1024 respectively. The optimal accuracy is 99.01% for SVM classifier for block size 1024×1024. The proposed method is independent of thinning.
{"title":"Script identification from camera based Tri-Lingual document","authors":"Gururaj Mukarambi, Satishkumar Mallapa, B. V. Dhandra","doi":"10.1109/SSPS.2017.8071593","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071593","url":null,"abstract":"In this paper, an algorithm is proposed for Trilingual Script Identification System in block wise for camera captured images. The Local Binary Pattern (LBP) features are used for Kannada, Hindi and English images for testing the performance of a proposed algorithm, a dataset of 6000 neat block images are considered. For each script a total of 2000 images are used for the proposed method. The segmentation technique is used to segment the document image in blocks. Block of sizes 128×128, 256×256, 512×512 and 1024×1024 for Kannada, Hindi and English have been considered. The LBP features are extracted in 8 neighbors, there by generating 59 features and submitted to KNN and SVM classifiers to classify the underlying image. The identification accuracy for KNN and SVM classifiers are respectively 96.60% and 98.00% for block size 128×128, 98.71% and 98.07% for block size 256×256, 99.70% and 98.00% for block size 512×512 and further 94.90% and 99.01% for block size 1024×1024 respectively. The optimal accuracy is 99.01% for SVM classifier for block size 1024×1024. The proposed method is independent of thinning.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126254695","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/SSPS.2017.8071608
Harikrishna Mulam, Malini Mudigonda
Recent researches are made in Electrooculography (EOG) signal to control the Human-Computer Interface (HCI) system by classifying the signal. Since then, the investigations were extended to understand the characteristics of EOG. This paper proposes a novel model for recognizing the eye movements using EOG signals. Furthermore, we have proposed a statistical procedure for the dimensionality reduction of the EOG signal. In addition, we have depicted Neural Network (NN) classifier for classifying the EOG signal. The proposed methodology is compared to the existing method and it is observed that the proposed methodology gives the better performance in terms of Accuracy, Specificity, Precision, False Negative Rate (FNR), False Positive Rate (FPR), Sensitivity, Negative Predictive Value (NPV), False Discovery Rate (FDR), Mathews Correlation Coefficient (MCC) and F1_Score.
{"title":"A novel method for recognizing eye movements using NN classifier","authors":"Harikrishna Mulam, Malini Mudigonda","doi":"10.1109/SSPS.2017.8071608","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071608","url":null,"abstract":"Recent researches are made in Electrooculography (EOG) signal to control the Human-Computer Interface (HCI) system by classifying the signal. Since then, the investigations were extended to understand the characteristics of EOG. This paper proposes a novel model for recognizing the eye movements using EOG signals. Furthermore, we have proposed a statistical procedure for the dimensionality reduction of the EOG signal. In addition, we have depicted Neural Network (NN) classifier for classifying the EOG signal. The proposed methodology is compared to the existing method and it is observed that the proposed methodology gives the better performance in terms of Accuracy, Specificity, Precision, False Negative Rate (FNR), False Positive Rate (FPR), Sensitivity, Negative Predictive Value (NPV), False Discovery Rate (FDR), Mathews Correlation Coefficient (MCC) and F1_Score.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128872003","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}
This paper concerns the designing, considerations and analysis of H-plane Y junction in rectangular substrate integrated waveguide technology using HFSS code. The proposed design unites the advantages such as low fabrication cost, low signal losses, planer profile, easily integrated with the other microwave devices and high performance in microwave application. The transmission coefficients S21 and S 31 shows that the input power (3W) in a waveguide is equally split into −8dB power or combined −8dB power in needed manner by using presented SIW Y junction. The divided E-fields are in same phase as the E-field at the input. The junction is optimized in C-band [4–8 GHz] at super high frequency of 7 GHz. The proposed SIW Y junction is designed on RT Duroid substrate and the measured results demonstrate that The return loss is −44.5668 dB, VSWR at the output port is 1.1 & 1.2 and reflection loss is 0.0059 dB at 7.9 GHz frequency. Thus, through the study of results, proposed SIW Y junction is very effective for signal transmission with low losses over entire C-band.
{"title":"Design of H-plane Y junction in RSIW for C-band applications","authors":"Richa Shreyam, Ridhi Garg, Tabassum Sayed, Rajiv Jayaswal","doi":"10.1109/SSPS.2017.8071615","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071615","url":null,"abstract":"This paper concerns the designing, considerations and analysis of H-plane Y junction in rectangular substrate integrated waveguide technology using HFSS code. The proposed design unites the advantages such as low fabrication cost, low signal losses, planer profile, easily integrated with the other microwave devices and high performance in microwave application. The transmission coefficients S21 and S 31 shows that the input power (3W) in a waveguide is equally split into −8dB power or combined −8dB power in needed manner by using presented SIW Y junction. The divided E-fields are in same phase as the E-field at the input. The junction is optimized in C-band [4–8 GHz] at super high frequency of 7 GHz. The proposed SIW Y junction is designed on RT Duroid substrate and the measured results demonstrate that The return loss is −44.5668 dB, VSWR at the output port is 1.1 & 1.2 and reflection loss is 0.0059 dB at 7.9 GHz frequency. Thus, through the study of results, proposed SIW Y junction is very effective for signal transmission with low losses over entire C-band.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125991822","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 : 2015-06-01DOI: 10.1109/SSPS.2017.8071557
Surendra Kota, N. Gunavathi
Ground penetrating radar (GPR) is a technique used to probe the ground. This technique is positioned top among all existing geophysical techniques. Applications of GPR are enormous and are ranging from planetary exploration to the detection of buried mines. In GPR to get high resolution and to get the wave traveled through deeper distance inside the earth, the transmitting antenna (Tx) must transmit the narrow width pulse signal into the ground where objects are hidden. This thesis presents the work on the design of TEM horn antenna. For this application A Compact Double-Ridged Horn Antenna from the family of horn antennas with an ultra-wide band (0.827–4.5)GHz is designed & simulated. Both the time domain and frequency domain requirements are satisfied by this antenna. This antenna is simulated using Computer simulation technology (CST) microwave studio. This antenna is test simulated in time domain solver with feeding via 50 Ω SMA and also tested in both thermal solver & mechanical solver to check for its malfunction. The variation of characteristic impedance across the antenna structure is gradually varied from 50 Ω to 377 Ω. In this thesis we will go through the steps how the lower range frequencies can be achieved with TEM horn & in what way the Linear TEM horn is transformed to Compact Double-Ridged Horn Antenna. This thesis also includes an explanatory part on both theoretical & simulated version of Linear TEM horn antenna, Double ridged horn antenna, Compact Double-Ridged Horn Antenna & Double-Ridged Horn Antenna in GPR scenario along with the simulation results.
{"title":"Design and analysis of TEM horn antenna for GPR applications","authors":"Surendra Kota, N. Gunavathi","doi":"10.1109/SSPS.2017.8071557","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071557","url":null,"abstract":"Ground penetrating radar (GPR) is a technique used to probe the ground. This technique is positioned top among all existing geophysical techniques. Applications of GPR are enormous and are ranging from planetary exploration to the detection of buried mines. In GPR to get high resolution and to get the wave traveled through deeper distance inside the earth, the transmitting antenna (Tx) must transmit the narrow width pulse signal into the ground where objects are hidden. This thesis presents the work on the design of TEM horn antenna. For this application A Compact Double-Ridged Horn Antenna from the family of horn antennas with an ultra-wide band (0.827–4.5)GHz is designed & simulated. Both the time domain and frequency domain requirements are satisfied by this antenna. This antenna is simulated using Computer simulation technology (CST) microwave studio. This antenna is test simulated in time domain solver with feeding via 50 Ω SMA and also tested in both thermal solver & mechanical solver to check for its malfunction. The variation of characteristic impedance across the antenna structure is gradually varied from 50 Ω to 377 Ω. In this thesis we will go through the steps how the lower range frequencies can be achieved with TEM horn & in what way the Linear TEM horn is transformed to Compact Double-Ridged Horn Antenna. This thesis also includes an explanatory part on both theoretical & simulated version of Linear TEM horn antenna, Double ridged horn antenna, Compact Double-Ridged Horn Antenna & Double-Ridged Horn Antenna in GPR scenario along with the simulation results.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122602979","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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