Pub Date : 2016-10-01DOI: 10.1109/NGCT.2016.7877422
S. Singh, Ajai Kumar, P. Sahu, Preeti Verma
The basic concept of machine translation is to translate one human language to another human language. Many translation systems have been built using different approaches which have different accuracy levels. In this paper, a work is being proposed for Syntax Based Machine Translation System from English to Hindi language. The Syntax Based Machine Translation System has the goal of incorporating an explicit representation of syntax into the statistical systems, to get the best out of the two worlds. The approach used in this translation system is a Blended approach i.e. statistical approach along with the Rule-based approach with the intention to get more accurate translation. Incorporating the idea of Synchronous Tree Substitution Grammar (STSG), it has been tried to parallel generate English and Hindi rules dynamically, which leads to final translated Hindi text. A parallel aligned text corpora of English and Hindi is being used as Database of the system, which is limited and hence limits the translation. Further, the system undergoes through various stages of Preprocessing, Source language analysis and then source to target language analysis to get the translation. The user has provision to select the best suitable translation according to him. This paper proposes the working strategy of how translation is being carried out from English to Hindi and the accuracy level that it achieved.
{"title":"Syntax based machine translation using blended methodology","authors":"S. Singh, Ajai Kumar, P. Sahu, Preeti Verma","doi":"10.1109/NGCT.2016.7877422","DOIUrl":"https://doi.org/10.1109/NGCT.2016.7877422","url":null,"abstract":"The basic concept of machine translation is to translate one human language to another human language. Many translation systems have been built using different approaches which have different accuracy levels. In this paper, a work is being proposed for Syntax Based Machine Translation System from English to Hindi language. The Syntax Based Machine Translation System has the goal of incorporating an explicit representation of syntax into the statistical systems, to get the best out of the two worlds. The approach used in this translation system is a Blended approach i.e. statistical approach along with the Rule-based approach with the intention to get more accurate translation. Incorporating the idea of Synchronous Tree Substitution Grammar (STSG), it has been tried to parallel generate English and Hindi rules dynamically, which leads to final translated Hindi text. A parallel aligned text corpora of English and Hindi is being used as Database of the system, which is limited and hence limits the translation. Further, the system undergoes through various stages of Preprocessing, Source language analysis and then source to target language analysis to get the translation. The user has provision to select the best suitable translation according to him. This paper proposes the working strategy of how translation is being carried out from English to Hindi and the accuracy level that it achieved.","PeriodicalId":326018,"journal":{"name":"2016 2nd International Conference on Next Generation Computing Technologies (NGCT)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132480973","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 : 2016-10-01DOI: 10.1109/NGCT.2016.7877509
Jagdeep Kaur, A. Bathla
Nowadays, an aerial closed-circuit television provides an outsize quantity of information compared with ancient closed-circuit television. But, it suffers from unsought cameras motion that presents new challenges. This paper presents a work on video stabilization and detection of the objects which are in moving position, system supported camera motion estimation. Most effective algorithms SIFT (Scale Invariant Feature Transform) and SURF (Speeded Up Robust Features) used for feature extraction. When estimating the worldwide parameters of camera motion victimization transformation, we have a tendency to find moving object by Kalman filtering. SURF (Speeded up Robust Features) is additionally a property extraction algorithmic rule works nearly like SIFT algorithmic rule, however quicker than SIFT.
{"title":"Video stabilization for an aerial surveillance system using sift and surf","authors":"Jagdeep Kaur, A. Bathla","doi":"10.1109/NGCT.2016.7877509","DOIUrl":"https://doi.org/10.1109/NGCT.2016.7877509","url":null,"abstract":"Nowadays, an aerial closed-circuit television provides an outsize quantity of information compared with ancient closed-circuit television. But, it suffers from unsought cameras motion that presents new challenges. This paper presents a work on video stabilization and detection of the objects which are in moving position, system supported camera motion estimation. Most effective algorithms SIFT (Scale Invariant Feature Transform) and SURF (Speeded Up Robust Features) used for feature extraction. When estimating the worldwide parameters of camera motion victimization transformation, we have a tendency to find moving object by Kalman filtering. SURF (Speeded up Robust Features) is additionally a property extraction algorithmic rule works nearly like SIFT algorithmic rule, however quicker than SIFT.","PeriodicalId":326018,"journal":{"name":"2016 2nd International Conference on Next Generation Computing Technologies (NGCT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131589082","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 : 2016-10-01DOI: 10.1109/NGCT.2016.7877386
S. Silas, E. Rajsingh, Titus Issac
Recently there has been an evidential growth in E-healthcare services. Every hospital has a variety of similar or dissimilar healthcare services. Selecting the best healthcare service is influenced by many preferences such as doctor's experience, location, feedback on continuity of care, waiting time, cost, hospital facilities, etc. Among the preferences, feedback is more influential. Participant's feedback plays a vital in selection of the best healthcare service and also in improving the quality of the healthcare service and its provider. In this paper, weighted average based subjective feedback system has been proposed, designed and implemented to obtain the feedback from the various personnel related to the e-health care services. Experimental analyses have been conducted to prove that the proposed feedback system is effective.
{"title":"WASF — Weighted average based subjective feedback system for E-healthcare services","authors":"S. Silas, E. Rajsingh, Titus Issac","doi":"10.1109/NGCT.2016.7877386","DOIUrl":"https://doi.org/10.1109/NGCT.2016.7877386","url":null,"abstract":"Recently there has been an evidential growth in E-healthcare services. Every hospital has a variety of similar or dissimilar healthcare services. Selecting the best healthcare service is influenced by many preferences such as doctor's experience, location, feedback on continuity of care, waiting time, cost, hospital facilities, etc. Among the preferences, feedback is more influential. Participant's feedback plays a vital in selection of the best healthcare service and also in improving the quality of the healthcare service and its provider. In this paper, weighted average based subjective feedback system has been proposed, designed and implemented to obtain the feedback from the various personnel related to the e-health care services. Experimental analyses have been conducted to prove that the proposed feedback system is effective.","PeriodicalId":326018,"journal":{"name":"2016 2nd International Conference on Next Generation Computing Technologies (NGCT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114903167","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 : 2016-10-01DOI: 10.1109/NGCT.2016.7877516
Madhavi Pingili, G. Prashanthi, E. Rajan
Ductal carcinoma in situ and invasive ductal carcinoma are two major radiological issues which have drawn the attention of not only Medical Practitioners but also Engineers and Scientists. Mammographic images are generally examined visually by radiologists and now-a-days with the help of available image analytics support system. Yet the problems of ‘false negative’ and ‘false positive’ remain unsolved as on date. This paper addresses this problem and provides a basic feasible solution to this problem. The core technology that is used to solve this problem is conversion of linear luminance based images into a nonlinear luminance based images with the help of a power formula called ‘gamma correction’.
{"title":"Localization and quantification of ductal carcinoma in the calcified regions of gamma corrected mammographic images","authors":"Madhavi Pingili, G. Prashanthi, E. Rajan","doi":"10.1109/NGCT.2016.7877516","DOIUrl":"https://doi.org/10.1109/NGCT.2016.7877516","url":null,"abstract":"Ductal carcinoma in situ and invasive ductal carcinoma are two major radiological issues which have drawn the attention of not only Medical Practitioners but also Engineers and Scientists. Mammographic images are generally examined visually by radiologists and now-a-days with the help of available image analytics support system. Yet the problems of ‘false negative’ and ‘false positive’ remain unsolved as on date. This paper addresses this problem and provides a basic feasible solution to this problem. The core technology that is used to solve this problem is conversion of linear luminance based images into a nonlinear luminance based images with the help of a power formula called ‘gamma correction’.","PeriodicalId":326018,"journal":{"name":"2016 2nd International Conference on Next Generation Computing Technologies (NGCT)","volume":"568 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114714467","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 : 2016-10-01DOI: 10.1109/NGCT.2016.7877382
M. K. Khandelwal, Manali Chandnani, Meeta Sharma
Data collision in a channel leads to channel synchronization problem, which may arise due to the existence of hidden terminal node. CSMA, TDMA, ALOHA and many more protocols provide help to channel synchronization. Semaphore is a tool which deals with synchronization problem and can be used to provide channel synchronization in a communication link. In this paper a hybrid CSMA/CA-Semaphore approach is introduced to provide channel synchronization. As soon as the node gets access to the channel, it transmits its packet according to CSMA/CA protocol. This approach helps in reducing the total collisions and results in increasing the total efficiency.
{"title":"CSMA/CA channel synchronization using semaphore","authors":"M. K. Khandelwal, Manali Chandnani, Meeta Sharma","doi":"10.1109/NGCT.2016.7877382","DOIUrl":"https://doi.org/10.1109/NGCT.2016.7877382","url":null,"abstract":"Data collision in a channel leads to channel synchronization problem, which may arise due to the existence of hidden terminal node. CSMA, TDMA, ALOHA and many more protocols provide help to channel synchronization. Semaphore is a tool which deals with synchronization problem and can be used to provide channel synchronization in a communication link. In this paper a hybrid CSMA/CA-Semaphore approach is introduced to provide channel synchronization. As soon as the node gets access to the channel, it transmits its packet according to CSMA/CA protocol. This approach helps in reducing the total collisions and results in increasing the total efficiency.","PeriodicalId":326018,"journal":{"name":"2016 2nd International Conference on Next Generation Computing Technologies (NGCT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114525428","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 : 2016-10-01DOI: 10.1109/NGCT.2016.7877389
M. S. Rawat, V. Joshi, Y. Sundriyal
The whole state of Sikkim is very vulnerable to landslide because of structurally controlled extremely scrutinized undeveloped geography, delicate rock condition, high rainfall escorted by occurrence earth trembles. Sikkim Himalaya in the eastern Indian Himalayan Region also experiences the landslide troubles because of geologically brittle host terrain coupled with heavy rainfall as well as other natural and anthropogenic factors. Mountain highways/roads are the single most important infrastructure, that suffers efficiently because of landslides and therefore, affecting the regular traffic in the hills. Such events lead to problems of road and other communications particularly during monsoons with adverse impacts on economic/commercial as well as development related activities. Survey of India toposheet, cloud free satellite data and field survey with the help of handheld GPS were carried out along major road of Sikkim for landslide investigation. Landslide phenomena increasing day by day in Sikkim particularly along the roadside. Mostly landslide occurred in Sikkim during prolonged rainfall. Landslide occurrence increasing due to anthropogenic activities in the region, i.e. road cutting, building construction and unplanned agricultural activities in the region. The present paper has been covered the part of the east district of Sikkim and it has covered the 133.80 sq.km. A detailed landslide inventory carried out in and around the part of the east district of Sikkim. Survey of India toposheet 78A/11 1962-63 has been used for historical landslide as well as base map preparation. A total 50 landslides have been identified from the SOI. Major and minor landslides were interpreted from Remote Sensing data using Cartosate-1(2008), IRS 1C/1D LISS-III (2009) and LISS-IV (2008). A total 43 landslides identified in the field survey incorporated in the map. Out of 43 landslides 13 were considered as significant having direct impact on roads. These slides are 6th Mile, Amdogolai landslide, Chandmari landslide, 5th Mile Landslide, 8th Mile landslide, 17th Mile landslide, Kyongnosala landslide, Bakthang landslide, Amdogolai landslide and Manbir Colony slide etc. A remote Sensing & GIS technique has been used for creating thematic layers for landslide hazard zonation. The appropriate weightage system used for ranking system on the basis of role in inducing landslide activity in the region. Each of the layers was assigned rating 1 to 9 maximum. The following parameters have been used for final landslide hazard zonation i.e. Geology, Drainage Density, Landuse, Soil, Geomorphology, Slope, Aspect, Relative Relief, Ruggedness' number, Dissection Index, Thrust, Fault, Lineament Density and Rainfall etc. Although the factor planned under topographic parameters hase been measured as basic inputs for Landslides Hazard Zonation study. Final Hazard Zone divided into five zones from very low landslide hazard to very high landslide hazard zone. Finally, model has been va
{"title":"Slope stability analysis in a part of East Sikkim, using Remote Sensing & GIS","authors":"M. S. Rawat, V. Joshi, Y. Sundriyal","doi":"10.1109/NGCT.2016.7877389","DOIUrl":"https://doi.org/10.1109/NGCT.2016.7877389","url":null,"abstract":"The whole state of Sikkim is very vulnerable to landslide because of structurally controlled extremely scrutinized undeveloped geography, delicate rock condition, high rainfall escorted by occurrence earth trembles. Sikkim Himalaya in the eastern Indian Himalayan Region also experiences the landslide troubles because of geologically brittle host terrain coupled with heavy rainfall as well as other natural and anthropogenic factors. Mountain highways/roads are the single most important infrastructure, that suffers efficiently because of landslides and therefore, affecting the regular traffic in the hills. Such events lead to problems of road and other communications particularly during monsoons with adverse impacts on economic/commercial as well as development related activities. Survey of India toposheet, cloud free satellite data and field survey with the help of handheld GPS were carried out along major road of Sikkim for landslide investigation. Landslide phenomena increasing day by day in Sikkim particularly along the roadside. Mostly landslide occurred in Sikkim during prolonged rainfall. Landslide occurrence increasing due to anthropogenic activities in the region, i.e. road cutting, building construction and unplanned agricultural activities in the region. The present paper has been covered the part of the east district of Sikkim and it has covered the 133.80 sq.km. A detailed landslide inventory carried out in and around the part of the east district of Sikkim. Survey of India toposheet 78A/11 1962-63 has been used for historical landslide as well as base map preparation. A total 50 landslides have been identified from the SOI. Major and minor landslides were interpreted from Remote Sensing data using Cartosate-1(2008), IRS 1C/1D LISS-III (2009) and LISS-IV (2008). A total 43 landslides identified in the field survey incorporated in the map. Out of 43 landslides 13 were considered as significant having direct impact on roads. These slides are 6th Mile, Amdogolai landslide, Chandmari landslide, 5th Mile Landslide, 8th Mile landslide, 17th Mile landslide, Kyongnosala landslide, Bakthang landslide, Amdogolai landslide and Manbir Colony slide etc. A remote Sensing & GIS technique has been used for creating thematic layers for landslide hazard zonation. The appropriate weightage system used for ranking system on the basis of role in inducing landslide activity in the region. Each of the layers was assigned rating 1 to 9 maximum. The following parameters have been used for final landslide hazard zonation i.e. Geology, Drainage Density, Landuse, Soil, Geomorphology, Slope, Aspect, Relative Relief, Ruggedness' number, Dissection Index, Thrust, Fault, Lineament Density and Rainfall etc. Although the factor planned under topographic parameters hase been measured as basic inputs for Landslides Hazard Zonation study. Final Hazard Zone divided into five zones from very low landslide hazard to very high landslide hazard zone. Finally, model has been va","PeriodicalId":326018,"journal":{"name":"2016 2nd International Conference on Next Generation Computing Technologies (NGCT)","volume":"63 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120863261","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 : 2016-10-01DOI: 10.1109/NGCT.2016.7877421
Mayank Agrawal, D. Sharma
Plagiarism is becoming a serious problem for intellectual community. The detection of plagiarism at various levels is a major issue. The complexity of the problem increases when we are finding the plagiarism in the source codes that may be in the same language or they have been transformed into other languages. This type of plagiarism is found not only in the academic works but also in the industries dealing with software designing. The major issue with the source code plagiarism is that different programming languages may have different syntax. In this paper the authors will explain various techniques and algorithms to discover the plagiarism in source code. So organization or academic institution can simply discover plagiarism in source code using these techniques. The authors will differentiate among these given techniques of plagiarism to discover how one technique is conflicting with the other.
{"title":"A state of art on source code plagiarism detection","authors":"Mayank Agrawal, D. Sharma","doi":"10.1109/NGCT.2016.7877421","DOIUrl":"https://doi.org/10.1109/NGCT.2016.7877421","url":null,"abstract":"Plagiarism is becoming a serious problem for intellectual community. The detection of plagiarism at various levels is a major issue. The complexity of the problem increases when we are finding the plagiarism in the source codes that may be in the same language or they have been transformed into other languages. This type of plagiarism is found not only in the academic works but also in the industries dealing with software designing. The major issue with the source code plagiarism is that different programming languages may have different syntax. In this paper the authors will explain various techniques and algorithms to discover the plagiarism in source code. So organization or academic institution can simply discover plagiarism in source code using these techniques. The authors will differentiate among these given techniques of plagiarism to discover how one technique is conflicting with the other.","PeriodicalId":326018,"journal":{"name":"2016 2nd International Conference on Next Generation Computing Technologies (NGCT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121152511","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 : 2016-10-01DOI: 10.1109/NGCT.2016.7877426
Amol Agrawal
Clickbaits, in social media, are exaggerated headlines whose main motive is to mislead the reader to “click” on them. They create a nuisance in the online experience by creating a lure towards poor content. Online content creators are utilizing more of them to get increased page views and thereby more ad revenue without providing the backing content. This paper proposes a model for detection of clickbait by utilizing convolutional neural networks and presents a compiled clickbait corpus. We create a corpus using multiple social media platforms and utilize deep learning for learning features rather than undergoing the long and complex process of feature engineering. Our model achieves high performance in identification of clickbaits.
{"title":"Clickbait detection using deep learning","authors":"Amol Agrawal","doi":"10.1109/NGCT.2016.7877426","DOIUrl":"https://doi.org/10.1109/NGCT.2016.7877426","url":null,"abstract":"Clickbaits, in social media, are exaggerated headlines whose main motive is to mislead the reader to “click” on them. They create a nuisance in the online experience by creating a lure towards poor content. Online content creators are utilizing more of them to get increased page views and thereby more ad revenue without providing the backing content. This paper proposes a model for detection of clickbait by utilizing convolutional neural networks and presents a compiled clickbait corpus. We create a corpus using multiple social media platforms and utilize deep learning for learning features rather than undergoing the long and complex process of feature engineering. Our model achieves high performance in identification of clickbaits.","PeriodicalId":326018,"journal":{"name":"2016 2nd International Conference on Next Generation Computing Technologies (NGCT)","volume":"301 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121696886","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 : 2016-10-01DOI: 10.1109/NGCT.2016.7877458
Ramanpreet Kaur, Simrandeep Singh
Multi user detection is an ongoing research in detection theory. They are used to reduce the effect of Multipath fading. In this paper, MEM (Maximum entropy method has been combined with ANN (Artificial neural network) in order to optimize various parameters of CDMA system. We consider the problem of multipath fading and noise in signals being received in CDMA systems. Among all basic detection schemes being used in CDMA systems, SIC(Successive interference cancellation)is considered as best detector due to its exact BER but with more advanced research it has been observed that some limitations of SIC has not been addressed yet. In this paper, we propose an optimization technique in which final output of MEM is compared with neural network. Final results have been compared with existing MEM respectively. Based on simulations, it has been concluded that Bit error rate has been reduced and accuracy has been achieved up to 85%.
{"title":"An artificial neural network based approach to calculate BER in CDMA for multiuser detection using MEM","authors":"Ramanpreet Kaur, Simrandeep Singh","doi":"10.1109/NGCT.2016.7877458","DOIUrl":"https://doi.org/10.1109/NGCT.2016.7877458","url":null,"abstract":"Multi user detection is an ongoing research in detection theory. They are used to reduce the effect of Multipath fading. In this paper, MEM (Maximum entropy method has been combined with ANN (Artificial neural network) in order to optimize various parameters of CDMA system. We consider the problem of multipath fading and noise in signals being received in CDMA systems. Among all basic detection schemes being used in CDMA systems, SIC(Successive interference cancellation)is considered as best detector due to its exact BER but with more advanced research it has been observed that some limitations of SIC has not been addressed yet. In this paper, we propose an optimization technique in which final output of MEM is compared with neural network. Final results have been compared with existing MEM respectively. Based on simulations, it has been concluded that Bit error rate has been reduced and accuracy has been achieved up to 85%.","PeriodicalId":326018,"journal":{"name":"2016 2nd International Conference on Next Generation Computing Technologies (NGCT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125099897","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 : 2016-10-01DOI: 10.1109/NGCT.2016.7877385
M. Kaur, P. Maheshwari
Smart phones have made a major impact on the lives of people leading to substantial improvements in development of mobile applications during the past few years. These days, mobile phones offer numerous capabilities in addition to conventional phone calls. Smart Tourism is one of the areas of Smart City and Smart phone applications that users can use immensely and get benefit from. Mobile tourism guides can provide a tourist with ubiquitous access to tourism information at anytime and from anywhere. To this end, an application that can guide tourists with valuable information can be very useful. The aim of our developed smart tourist application is to provide services related to tourism and geographical services that encourage tourists to travel around the city and reduce the effort and time to organize the trips. It offers access to features such as detailed travel directory, personalized daily itineraries that are automatically generated based on visitors' preferences, popularity of the points of ineterst, operating hours and location, Detailed maps and location-based navigation by public transport and micro-location based push notifications that provide rich and in depth information about the destination.
{"title":"Smart tourist for dubai city","authors":"M. Kaur, P. Maheshwari","doi":"10.1109/NGCT.2016.7877385","DOIUrl":"https://doi.org/10.1109/NGCT.2016.7877385","url":null,"abstract":"Smart phones have made a major impact on the lives of people leading to substantial improvements in development of mobile applications during the past few years. These days, mobile phones offer numerous capabilities in addition to conventional phone calls. Smart Tourism is one of the areas of Smart City and Smart phone applications that users can use immensely and get benefit from. Mobile tourism guides can provide a tourist with ubiquitous access to tourism information at anytime and from anywhere. To this end, an application that can guide tourists with valuable information can be very useful. The aim of our developed smart tourist application is to provide services related to tourism and geographical services that encourage tourists to travel around the city and reduce the effort and time to organize the trips. It offers access to features such as detailed travel directory, personalized daily itineraries that are automatically generated based on visitors' preferences, popularity of the points of ineterst, operating hours and location, Detailed maps and location-based navigation by public transport and micro-location based push notifications that provide rich and in depth information about the destination.","PeriodicalId":326018,"journal":{"name":"2016 2nd International Conference on Next Generation Computing Technologies (NGCT)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126174688","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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