It is an established fact that the data transmission between two devices or processes is achieved via packets, according to the rules and regulations of TCP/IP protocol suite. The said transmission involves all the layers of TCP/IP protocol suite. The different processes involved in the transmission follow the same rule of the TCP / IP suite either on the same device or on different devices. In this paper, we proposed an algorithm with the help of which the data is being transmitted from one process to another process using the same file if both processes are on the same device. Our proposed algorithm uses only the two top layers, i.e., Application and Transport, of a TCP/IP protocol suite while, the rest of the layers, i.e., Network, Data Link and Physical, are not used. The data is transferred directly from the transport layer of one process to the transport layer of the other process. Our proposed algorithm saves a significant amount of computational power and other system resources that are consumed by the lower layers, i.e., Network, Data Link and Physical.
{"title":"Communication between multiple processes on same device using TCP/IP suite","authors":"Faizan Badshah, Syed Tauhid Ullah Shah, Syed Roohullah Jan, Izaz ur Rahman","doi":"10.1109/C-CODE.2017.7918919","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918919","url":null,"abstract":"It is an established fact that the data transmission between two devices or processes is achieved via packets, according to the rules and regulations of TCP/IP protocol suite. The said transmission involves all the layers of TCP/IP protocol suite. The different processes involved in the transmission follow the same rule of the TCP / IP suite either on the same device or on different devices. In this paper, we proposed an algorithm with the help of which the data is being transmitted from one process to another process using the same file if both processes are on the same device. Our proposed algorithm uses only the two top layers, i.e., Application and Transport, of a TCP/IP protocol suite while, the rest of the layers, i.e., Network, Data Link and Physical, are not used. The data is transferred directly from the transport layer of one process to the transport layer of the other process. Our proposed algorithm saves a significant amount of computational power and other system resources that are consumed by the lower layers, i.e., Network, Data Link and Physical.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131414633","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 : 2017-03-01DOI: 10.1109/C-CODE.2017.7918901
Tanveer Ahmed, Adeel Ahmed, Mubashir Ali, M. Kamran
Assorted communication on social networks attracted researcher's attention in recent time. Massive sharing of opinions, ideas, experiences and expertise highlight communication through social networks. Social networks have becoming a flourishing network for sharing such values. Identifying and analyzing these communication trends have gained importance for detecting patterns among peoples in social networks using community detection. Different methods have been proposed for detecting communities in social networks. Co-authorship network is also becoming central point of attention to many researchers. Domain specific co-authorship community detection is evolving area that is emerging beside other community detection identification patterns. In this paper, we performed analysis on coauthorship network in the field of computer networks using common centrality measures. Finding reveals that this study finds domain specific co-authors that are best in their knowledge sharing and collaboration in the field of computer networks.
{"title":"Analysis of co-authorship in computer networks using centrality measures","authors":"Tanveer Ahmed, Adeel Ahmed, Mubashir Ali, M. Kamran","doi":"10.1109/C-CODE.2017.7918901","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918901","url":null,"abstract":"Assorted communication on social networks attracted researcher's attention in recent time. Massive sharing of opinions, ideas, experiences and expertise highlight communication through social networks. Social networks have becoming a flourishing network for sharing such values. Identifying and analyzing these communication trends have gained importance for detecting patterns among peoples in social networks using community detection. Different methods have been proposed for detecting communities in social networks. Co-authorship network is also becoming central point of attention to many researchers. Domain specific co-authorship community detection is evolving area that is emerging beside other community detection identification patterns. In this paper, we performed analysis on coauthorship network in the field of computer networks using common centrality measures. Finding reveals that this study finds domain specific co-authors that are best in their knowledge sharing and collaboration in the field of computer networks.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"207 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132163586","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 : 2017-03-01DOI: 10.1109/C-CODE.2017.7918918
Haroon Khan, Muhammad Numan Hayat, Zia ur Rehman
Recently Network (WSN) localization techniques is the common features. It plays very important role in many areas in critical situation for Example target tracing of events, sensing and capturing event in area of interest. Location base routing algorithms is use for the best routing, compiling the whole sensing area, reducing energy consumption and cost. If the user not fined the proper location of the target nodes in sensor area, the result of the application well be not achieved and not be accurate. The main idea is that, some sensor nodes are deployed have known coordinates (x and y axis). The location base schemes are categorize into range-based scheme and free-range. In order to make easy the free range-base scheme is categorize into: fully free Range-base schemes and hybrid-free range-base techniques.
{"title":"Wireless sensor networks free-range base localization schemes: A comprehensive survey","authors":"Haroon Khan, Muhammad Numan Hayat, Zia ur Rehman","doi":"10.1109/C-CODE.2017.7918918","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918918","url":null,"abstract":"Recently Network (WSN) localization techniques is the common features. It plays very important role in many areas in critical situation for Example target tracing of events, sensing and capturing event in area of interest. Location base routing algorithms is use for the best routing, compiling the whole sensing area, reducing energy consumption and cost. If the user not fined the proper location of the target nodes in sensor area, the result of the application well be not achieved and not be accurate. The main idea is that, some sensor nodes are deployed have known coordinates (x and y axis). The location base schemes are categorize into range-based scheme and free-range. In order to make easy the free range-base scheme is categorize into: fully free Range-base schemes and hybrid-free range-base techniques.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132586218","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 : 2017-03-01DOI: 10.1109/C-CODE.2017.7918959
Tassadaq Hussain, Saqib Amin, U. Zabit
Displacement, speed, etc. measurements by using the Self-Mixing interferometric is an active area of research. Phase retrieval by using the phase unwrapping method is a standard practice in the laser sensing. The Phase Unwrapping Method mixes the knowledge carried in both the phase acquired and the principal value of the phase into an adaptive differential integration system. The method demands automated and intelligent high performance hardware architecture, due to the compact, self-aligned and cost effective nature of laser sensors. In this work, we have implemented an Improved Phase Unwrapping Method on the Multi-core system and measures the performance and power efficiency for different target technologies. The results on the multi-core system show that the Improved Phase Unwrapping Method gets 4.09 times performance improvement and consumes 2.04 times less energy than the uni-core system.
{"title":"Implementation of high precision laser interferometry algorithm for real-time displacement sensing using multi-core architecture","authors":"Tassadaq Hussain, Saqib Amin, U. Zabit","doi":"10.1109/C-CODE.2017.7918959","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918959","url":null,"abstract":"Displacement, speed, etc. measurements by using the Self-Mixing interferometric is an active area of research. Phase retrieval by using the phase unwrapping method is a standard practice in the laser sensing. The Phase Unwrapping Method mixes the knowledge carried in both the phase acquired and the principal value of the phase into an adaptive differential integration system. The method demands automated and intelligent high performance hardware architecture, due to the compact, self-aligned and cost effective nature of laser sensors. In this work, we have implemented an Improved Phase Unwrapping Method on the Multi-core system and measures the performance and power efficiency for different target technologies. The results on the multi-core system show that the Improved Phase Unwrapping Method gets 4.09 times performance improvement and consumes 2.04 times less energy than the uni-core system.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125231339","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}
Domain of image processing is progressing a lot and has achieved tremendous milestones. Image processing is helping in many ways for the researchers to achieve their goals especially in security and medical fields. Detection of blood group in disaster or remote areas where expert is unavailable is challenge. In this paper we have proposed a system which will detect blood group using image processing techniques. Steps to detect the type of blood group using image processing techniques are discussed. Successful results have been obtained and accuracy of the proposed system is optimal
{"title":"Image processing based detection & classification of blood group using color images","authors":"Abubakar Yamin, Faisal Imran, Usman Akbar, Syed Hassan Tanvir","doi":"10.1109/C-CODE.2017.7918945","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918945","url":null,"abstract":"Domain of image processing is progressing a lot and has achieved tremendous milestones. Image processing is helping in many ways for the researchers to achieve their goals especially in security and medical fields. Detection of blood group in disaster or remote areas where expert is unavailable is challenge. In this paper we have proposed a system which will detect blood group using image processing techniques. Steps to detect the type of blood group using image processing techniques are discussed. Successful results have been obtained and accuracy of the proposed system is optimal","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127779348","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 : 2017-03-01DOI: 10.1109/C-CODE.2017.7918939
Faima Abbasi, Ayesha Waseem, Erum Ashraf
Augmented reality is a useful technique and has been of interest to researchers recently. Many real-life applications ranging from games to learning have been developed using augmented reality. The aim of this work is to improve student's understanding of realistic phenomenon of nature and enhance their capabilities towards learning. Augmented reality technique has proved itself in education as it replaces memory based learning to fun driven and conceptual schooling. In this paper, we have proposed an algorithm to support marker based augmented reality teaching methodology. A controlled experimental lecture in classroom was conducted with the usage of augmented reality technique. The delivered lecture was then compared with the traditional method of teaching. Post and pre-test were conducted to record the student's understanding which depicted that the proposed augmented reality teaching method is more proficient than the traditional one and plays significant role in improving student's grades.
{"title":"Augmented reality based teaching in classrooms","authors":"Faima Abbasi, Ayesha Waseem, Erum Ashraf","doi":"10.1109/C-CODE.2017.7918939","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918939","url":null,"abstract":"Augmented reality is a useful technique and has been of interest to researchers recently. Many real-life applications ranging from games to learning have been developed using augmented reality. The aim of this work is to improve student's understanding of realistic phenomenon of nature and enhance their capabilities towards learning. Augmented reality technique has proved itself in education as it replaces memory based learning to fun driven and conceptual schooling. In this paper, we have proposed an algorithm to support marker based augmented reality teaching methodology. A controlled experimental lecture in classroom was conducted with the usage of augmented reality technique. The delivered lecture was then compared with the traditional method of teaching. Post and pre-test were conducted to record the student's understanding which depicted that the proposed augmented reality teaching method is more proficient than the traditional one and plays significant role in improving student's grades.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128842667","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 : 2017-03-01DOI: 10.1109/C-CODE.2017.7918962
Mahwish Pervaiz, Alyia Amir
the presented paper is concerned with emotion recognition from speech based on micro and macro level features. Prosodic and temporal features are explored to identify their significance and contribution in emotion recognition system. Emotions are extracted at segment (micro) level and macro (utterance) level. The method has been verified using two emotional speech database with support vector machine classifier. Results at both levels are compared and better recognition rate are achieved at micro level than global statistics.
{"title":"Comparative study of features extraction for speech's emotion at micro and macro level","authors":"Mahwish Pervaiz, Alyia Amir","doi":"10.1109/C-CODE.2017.7918962","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918962","url":null,"abstract":"the presented paper is concerned with emotion recognition from speech based on micro and macro level features. Prosodic and temporal features are explored to identify their significance and contribution in emotion recognition system. Emotions are extracted at segment (micro) level and macro (utterance) level. The method has been verified using two emotional speech database with support vector machine classifier. Results at both levels are compared and better recognition rate are achieved at micro level than global statistics.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131625610","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 : 2017-03-01DOI: 10.1109/C-CODE.2017.7918892
N. Saeed, Muhammad Haris, Mian Imtiaz Ul Haq
In this paper a local geometry alignment algorithm is presented for locating the primary users (PUs) and Secondary users (SUs) in cognitive radio network. Based on the estimated distance between PUs and SUs for the neighbors within certain communication range, the relative configuration of all the users in the network is obtained initially and is refined finally to get the global position of every user in the network. The localization performance of the proposed approach is compared to multidimensional scaling and principal component analysis. Furthermore the lower bound on error i.e., the Cramer Rao lower bound (CRLB) is also derived to check the performance of the proposed algorithm.
{"title":"Jointly locating the primary and secondary users in cognitive radio networks","authors":"N. Saeed, Muhammad Haris, Mian Imtiaz Ul Haq","doi":"10.1109/C-CODE.2017.7918892","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918892","url":null,"abstract":"In this paper a local geometry alignment algorithm is presented for locating the primary users (PUs) and Secondary users (SUs) in cognitive radio network. Based on the estimated distance between PUs and SUs for the neighbors within certain communication range, the relative configuration of all the users in the network is obtained initially and is refined finally to get the global position of every user in the network. The localization performance of the proposed approach is compared to multidimensional scaling and principal component analysis. Furthermore the lower bound on error i.e., the Cramer Rao lower bound (CRLB) is also derived to check the performance of the proposed algorithm.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124861232","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 : 2017-03-01DOI: 10.1109/C-CODE.2017.7918961
Maham Khan, Saad Hassan, Syed Irfan Ahmed, J. Iqbal
This paper highlights the importance of an autonomous navigation scheme for an Unmanned Ground Vehicle (UGV) operating under a complex operational scenario that requires obstacle detection. The proposed scheme is based on the construction and investigation of disparity images and follows a two-stage perception structure. During detection phase, the relationship between encountered obstacles and the robot's path is inferred. Based on the extracted Region Of Interest (ROI) and statistical information about projections, the confirmation phase characterizes the contours and obstacles positions. Computationally intensive stereovision techniques are optimized for use in real-time applications. The scheme has been tested on a custom-developed wheeled mobile robot. The experimental findings show the benefits of our scheme. The robot detects obstacles of any size and shape within a range of 80–200cm. The results demonstrate that the robot has the ability to precisely navigate in a wide range of illumination conditions. The proposed approach does not need any extraction of lane markers since it fully exploits the information contained in the disparity images. The anticipated applications of the proposed scheme include autonomous navigation of vehicles for environment exploration, perimeter surveillance and automated delivery of goods in a factory.
{"title":"Stereovision-based real-time obstacle detection scheme for Unmanned Ground Vehicle with steering wheel drive mechanism","authors":"Maham Khan, Saad Hassan, Syed Irfan Ahmed, J. Iqbal","doi":"10.1109/C-CODE.2017.7918961","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918961","url":null,"abstract":"This paper highlights the importance of an autonomous navigation scheme for an Unmanned Ground Vehicle (UGV) operating under a complex operational scenario that requires obstacle detection. The proposed scheme is based on the construction and investigation of disparity images and follows a two-stage perception structure. During detection phase, the relationship between encountered obstacles and the robot's path is inferred. Based on the extracted Region Of Interest (ROI) and statistical information about projections, the confirmation phase characterizes the contours and obstacles positions. Computationally intensive stereovision techniques are optimized for use in real-time applications. The scheme has been tested on a custom-developed wheeled mobile robot. The experimental findings show the benefits of our scheme. The robot detects obstacles of any size and shape within a range of 80–200cm. The results demonstrate that the robot has the ability to precisely navigate in a wide range of illumination conditions. The proposed approach does not need any extraction of lane markers since it fully exploits the information contained in the disparity images. The anticipated applications of the proposed scheme include autonomous navigation of vehicles for environment exploration, perimeter surveillance and automated delivery of goods in a factory.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115333004","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 : 2017-03-01DOI: 10.1109/C-CODE.2017.7918951
Abrar Hashmi, M. Hanif, A. I. Bhatti
Sliding mode control is one of the most robust nonlinear control schemes among many nonlinear controllers due to its robustness property and ability to decouple systems in lower dimensions. In order to overcome the known or bounded uncertainties many nonlinear controllers can work well, however, some of them fails to capture the unbounded uncertainties. The modeling of a real time system plays a vital role in mechanical system engineering. The exact modeling of a system is essential in order to analyze the behavior of the system. This article analyze the sliding mode control (SMC) behavior for nonlinear models and nonlinear uncertainties.
{"title":"Simulation and analysis of duffing oscillator using sliding mode control","authors":"Abrar Hashmi, M. Hanif, A. I. Bhatti","doi":"10.1109/C-CODE.2017.7918951","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918951","url":null,"abstract":"Sliding mode control is one of the most robust nonlinear control schemes among many nonlinear controllers due to its robustness property and ability to decouple systems in lower dimensions. In order to overcome the known or bounded uncertainties many nonlinear controllers can work well, however, some of them fails to capture the unbounded uncertainties. The modeling of a real time system plays a vital role in mechanical system engineering. The exact modeling of a system is essential in order to analyze the behavior of the system. This article analyze the sliding mode control (SMC) behavior for nonlinear models and nonlinear uncertainties.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129481228","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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