Since exhaustive testing is not possible, prediction of fault prone modules can be used for prioritizing the components of a software system. Various approaches have been proposed for the prediction of fault prone modules. Most of them uses module metrics as quality estimators. In this study, we proposed a tokenbased approach and combine the metric evaluated from our approach with the module metrics to further improve the prediction results. We conducted the experiment on an open source project for evaluating the approach. The proposed approach is further compared with the existing fault prone filtering technique. The results show that the proposed approach is an improvement over fault prone filtering technique.
{"title":"An Empirical Study on Fault Prediction using Token-Based Approach","authors":"Ishleen Kaur, Neha Bajpai","doi":"10.1145/2979779.2979811","DOIUrl":"https://doi.org/10.1145/2979779.2979811","url":null,"abstract":"Since exhaustive testing is not possible, prediction of fault prone modules can be used for prioritizing the components of a software system. Various approaches have been proposed for the prediction of fault prone modules. Most of them uses module metrics as quality estimators. In this study, we proposed a tokenbased approach and combine the metric evaluated from our approach with the module metrics to further improve the prediction results. We conducted the experiment on an open source project for evaluating the approach. The proposed approach is further compared with the existing fault prone filtering technique. The results show that the proposed approach is an improvement over fault prone filtering technique.","PeriodicalId":298730,"journal":{"name":"Proceedings of the International Conference on Advances in Information Communication Technology & Computing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114054988","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}
Kshira Sagar Sahoo, Sagarika Mohanty, Mayank Tiwary, B. K. Mishra, B. Sahoo
These days the usage of network is growing at a faster pace, at the same time a lot of challenges is facing by the network administrator, to tackle the frequent network access by the users. The network infrastructure is growing rapidly to meet the business need, but it requires re-policing and reconfiguration of the network. But managing the underlying infrastructure becomes more complicated to handle the unprecedented network demand. The Software Defined Network (SDN), is the next generation Internet technology, which not only solves the ossification of the Internet, but also creates innovations and simplifies the network management. The key idea behind SDN is separation of control plane from the data plane, as a result, devices in the data plane simple becomes the forwarding device and transfer all the decision-making activities in a centralized system called a controller. Among many, OpenFlow is the standard and most popular SDN protocol that interacts between controller and forwarding devices. In this article, we will give an overview of the basic architecture of SDN and OpenFlow, SDN-controller interaction and benefits of SDN.
近年来，网络的使用量以更快的速度增长，同时网络管理员也面临着许多挑战，即如何应对用户频繁的网络访问。为了满足业务需求，网络基础设施正在快速增长，但这需要对网络进行重新监管和重新配置。但是管理底层基础设施变得更加复杂，以处理前所未有的网络需求。软件定义网络(Software Defined Network, SDN)是下一代互联网技术，它不仅解决了互联网的僵化问题，而且带来了创新，简化了网络管理。SDN的核心思想是控制平面与数据平面的分离，因此，数据平面的设备简单地成为转发设备，并将所有决策活动转移到一个称为控制器的集中系统中。其中，OpenFlow是标准的、最流行的SDN协议，它在控制器和转发设备之间进行交互。在本文中，我们将概述SDN和OpenFlow的基本架构，SDN-控制器交互以及SDN的优点。
{"title":"A Comprehensive Tutorial on Software Defined Network: The Driving Force for the Future Internet Technology","authors":"Kshira Sagar Sahoo, Sagarika Mohanty, Mayank Tiwary, B. K. Mishra, B. Sahoo","doi":"10.1145/2979779.2983928","DOIUrl":"https://doi.org/10.1145/2979779.2983928","url":null,"abstract":"These days the usage of network is growing at a faster pace, at the same time a lot of challenges is facing by the network administrator, to tackle the frequent network access by the users. The network infrastructure is growing rapidly to meet the business need, but it requires re-policing and reconfiguration of the network. But managing the underlying infrastructure becomes more complicated to handle the unprecedented network demand. The Software Defined Network (SDN), is the next generation Internet technology, which not only solves the ossification of the Internet, but also creates innovations and simplifies the network management. The key idea behind SDN is separation of control plane from the data plane, as a result, devices in the data plane simple becomes the forwarding device and transfer all the decision-making activities in a centralized system called a controller. Among many, OpenFlow is the standard and most popular SDN protocol that interacts between controller and forwarding devices. In this article, we will give an overview of the basic architecture of SDN and OpenFlow, SDN-controller interaction and benefits of SDN.","PeriodicalId":298730,"journal":{"name":"Proceedings of the International Conference on Advances in Information Communication Technology & Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129051109","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}
Mobility and convergence are the basic requirements of the present day 4G-5G communications. We have good architectures for Fiber Optic MAN/WAN Networks, 4G WiMAX / LTE Cellular Networks and present day 4G/5G 802.11 WiFi networks; however we need to have unified architectures providing very high bandwidths and seamless services for 4G/5G communication needs. An effort has been made here to present such a unified architecture by integrating the best features of Fiber, WiMAX/LTE and WiFi architectures, which can support even 5G requirements.
{"title":"An Integrated Fiber-Cell-WiFi Architecture for 4G/5G Fixed-Mobile Convergence","authors":"Sunil A. Bakhru","doi":"10.1145/2979779.2979785","DOIUrl":"https://doi.org/10.1145/2979779.2979785","url":null,"abstract":"Mobility and convergence are the basic requirements of the present day 4G-5G communications. We have good architectures for Fiber Optic MAN/WAN Networks, 4G WiMAX / LTE Cellular Networks and present day 4G/5G 802.11 WiFi networks; however we need to have unified architectures providing very high bandwidths and seamless services for 4G/5G communication needs. An effort has been made here to present such a unified architecture by integrating the best features of Fiber, WiMAX/LTE and WiFi architectures, which can support even 5G requirements.","PeriodicalId":298730,"journal":{"name":"Proceedings of the International Conference on Advances in Information Communication Technology & Computing","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130186873","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}
The Dynamic Source Routing protocol (DSR) is very efficient routing protocol which is design for multi-hop wireless ad hoc networks of mobile nodes. DSR is basically reactive routing protocol and it is completely self organized and infrastructure less network. It has no centralized administrator all nodes working as router. This protocol works on two basic flooding operation route discovery and route maintenance which work together to communicate between source to destination. In DSR protocol, it select shortest path for sending data packet from source to destination, each node consume energy for sending data packet. While discovery a path it select same route for data transmission so node will die because all mobile nodes has limited battery power. It consumes more energy at the transmission of data packets which leads to packet drops and energy consumption. Since all nodes are depend on nodes energy. In this paper we proposed alternative route selection mechanism for increasing the network lifetime and consume less energy.
{"title":"Energy Efficient Approach of Route Selection for Dynamic Source Routing Protocol in MANET","authors":"Deepti Badal, R. S. Kushwah","doi":"10.1145/2979779.2979839","DOIUrl":"https://doi.org/10.1145/2979779.2979839","url":null,"abstract":"The Dynamic Source Routing protocol (DSR) is very efficient routing protocol which is design for multi-hop wireless ad hoc networks of mobile nodes. DSR is basically reactive routing protocol and it is completely self organized and infrastructure less network. It has no centralized administrator all nodes working as router. This protocol works on two basic flooding operation route discovery and route maintenance which work together to communicate between source to destination. In DSR protocol, it select shortest path for sending data packet from source to destination, each node consume energy for sending data packet. While discovery a path it select same route for data transmission so node will die because all mobile nodes has limited battery power. It consumes more energy at the transmission of data packets which leads to packet drops and energy consumption. Since all nodes are depend on nodes energy. In this paper we proposed alternative route selection mechanism for increasing the network lifetime and consume less energy.","PeriodicalId":298730,"journal":{"name":"Proceedings of the International Conference on Advances in Information Communication Technology & Computing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134091530","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}
Abnormality detection is useful in reducing the amount of data to be processed manually by directing attention to the specific portion of data. However, selections of suitable features are important for the success of an abnormality detection system. Designing and selecting appropriate features are time-consuming, requires expensive domain knowledge and human labor. Further, it is very challenging to represent high-level concepts of abnormality in terms of raw input. Most of the existing abnormality detection system use handcrafted feature detector and are based on shallow architecture. In this work, we explore Deep Belief Network for abnormality detection and simultaneously, compared the performance of classic neural network in terms of features learned and accuracy of detecting the abnormality. Further, we explore the set of features learn by each layer of the deep architecture. We also provide a simple and fast mechanism to visualize the feature at the higher layer. Further, the effect of different activation function on abnormality detection is also compared. We observed that deep learning based approach can be used for detecting an abnormality. It has better performance compare to classical neural network in separating distinct as well as almost similar data.
{"title":"Abnormality Detecting Deep Belief Network","authors":"M. Sharma, D. Sheet, P. Biswas","doi":"10.1145/2979779.2979790","DOIUrl":"https://doi.org/10.1145/2979779.2979790","url":null,"abstract":"Abnormality detection is useful in reducing the amount of data to be processed manually by directing attention to the specific portion of data. However, selections of suitable features are important for the success of an abnormality detection system. Designing and selecting appropriate features are time-consuming, requires expensive domain knowledge and human labor. Further, it is very challenging to represent high-level concepts of abnormality in terms of raw input. Most of the existing abnormality detection system use handcrafted feature detector and are based on shallow architecture. In this work, we explore Deep Belief Network for abnormality detection and simultaneously, compared the performance of classic neural network in terms of features learned and accuracy of detecting the abnormality. Further, we explore the set of features learn by each layer of the deep architecture. We also provide a simple and fast mechanism to visualize the feature at the higher layer. Further, the effect of different activation function on abnormality detection is also compared. We observed that deep learning based approach can be used for detecting an abnormality. It has better performance compare to classical neural network in separating distinct as well as almost similar data.","PeriodicalId":298730,"journal":{"name":"Proceedings of the International Conference on Advances in Information Communication Technology & Computing","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133266423","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 presents an 2-D systolic array architecture for an efficient implementation of gray-scale morphological dilation using arbitrary structuring element and used it to design 2-stage pipelined architecture for morphological opening. The proposed systolic array architecture processes pixels on stream that eliminates the need for buffering image data prior to processing. Additionally, unlike existing systolic array architecture, it does not necessarily adds delay element for processing pixels of an image thereby increasing the processing frame rate. The 2-stage pipelined architecture, on the other hand, provides better performance compared to naive hardware implementation to compute morphological opening. The architecture has been synthesized using Xilinx Design Suite 14.2 ISE and prototyped on Virtex 6 FPGA Board (XC6VLX240T-3FF1156) and verified using Xilinx ISIM Simulator. The architecture provides real time performance when tested for high resolution images using moderate size non-rectangular SEs and results outperforms existing systolic array implementation.
本文提出了一种利用任意结构元素有效实现灰度形态扩张的二维收缩阵列架构，并利用该架构设计了两阶段流水化的形态开放架构。所提出的收缩阵列架构在流上处理像素，从而消除了在处理之前缓冲图像数据的需要。此外，与现有的收缩阵列结构不同，它不需要增加用于处理图像像素的延迟元素，从而提高处理帧速率。另一方面，与简单的硬件实现相比，两阶段的流水线架构在计算形态打开方面提供了更好的性能。该架构使用Xilinx Design Suite 14.2 ISE进行合成，并在Virtex 6 FPGA板(XC6VLX240T-3FF1156)上进行原型设计，并使用Xilinx ISIM模拟器进行验证。当使用中等大小的非矩形se对高分辨率图像进行测试时，该架构提供了实时性能，结果优于现有的收缩阵列实现。
{"title":"A systolic array architecture for morphological operators using arbitrary structuring elements","authors":"D. Mukherjee, S. Mukhopadhyay, G. P. Biswas","doi":"10.1145/2979779.2979796","DOIUrl":"https://doi.org/10.1145/2979779.2979796","url":null,"abstract":"This paper presents an 2-D systolic array architecture for an efficient implementation of gray-scale morphological dilation using arbitrary structuring element and used it to design 2-stage pipelined architecture for morphological opening. The proposed systolic array architecture processes pixels on stream that eliminates the need for buffering image data prior to processing. Additionally, unlike existing systolic array architecture, it does not necessarily adds delay element for processing pixels of an image thereby increasing the processing frame rate. The 2-stage pipelined architecture, on the other hand, provides better performance compared to naive hardware implementation to compute morphological opening. The architecture has been synthesized using Xilinx Design Suite 14.2 ISE and prototyped on Virtex 6 FPGA Board (XC6VLX240T-3FF1156) and verified using Xilinx ISIM Simulator. The architecture provides real time performance when tested for high resolution images using moderate size non-rectangular SEs and results outperforms existing systolic array implementation.","PeriodicalId":298730,"journal":{"name":"Proceedings of the International Conference on Advances in Information Communication Technology & Computing","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132632239","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}
Cloud Computing has evolved out as one of the most advanced contrivance of the 21st century. It has integrated in almost every field and has now entered in such a stage where it is unfolding some new levels of usages that it can address. Air Pollution monitoring is one such application which is becoming prominent. Google, the face of the IT industry has integrated with Aclima to monitor air pollution with its street view application. But not everything meant to be perfect. The devices associated with monitoring part secretes out large and variable amount of data which makes it's handling a vicious constraint for cloud providers as allocated resources are not used up to their potential. Researchers areleaving no stone unturned by coming at the rock bottom level to figure out certain approaches to make this vogue affordable to the providers. The major contributing factor for this forfeiture is the elasticity factor which enables users to scale up or scale down resources at any instant of time. To counter this problem, this paperpresents a dynamic algorithmic approach foroptimization of resources. Analysis of results achieved shows that the algorithm helps to improve optimization by 20% to 30%.
{"title":"Optimization of Cloud Resources for Air Pollution Monitoring Devices","authors":"P. Kaur, Parampreet Singh","doi":"10.1145/2979779.2979807","DOIUrl":"https://doi.org/10.1145/2979779.2979807","url":null,"abstract":"Cloud Computing has evolved out as one of the most advanced contrivance of the 21st century. It has integrated in almost every field and has now entered in such a stage where it is unfolding some new levels of usages that it can address. Air Pollution monitoring is one such application which is becoming prominent. Google, the face of the IT industry has integrated with Aclima to monitor air pollution with its street view application. But not everything meant to be perfect. The devices associated with monitoring part secretes out large and variable amount of data which makes it's handling a vicious constraint for cloud providers as allocated resources are not used up to their potential. Researchers areleaving no stone unturned by coming at the rock bottom level to figure out certain approaches to make this vogue affordable to the providers. The major contributing factor for this forfeiture is the elasticity factor which enables users to scale up or scale down resources at any instant of time. To counter this problem, this paperpresents a dynamic algorithmic approach foroptimization of resources. Analysis of results achieved shows that the algorithm helps to improve optimization by 20% to 30%.","PeriodicalId":298730,"journal":{"name":"Proceedings of the International Conference on Advances in Information Communication Technology & Computing","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114508038","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}
Observing last decades of emerging paradigms in technology, distributed system has played a significant role in new generation applications. Distributed systems in contrast with web services have paved a recognizable strategy for software development across the software industries. Web services participated in next generation application development through cross domain integration of targeted functionalities. Web services became an important component for the software generation globally by lay down on the principles of Service Oriented Architecture (SOA). SOA frames the casting of web services from independent developers in a single module keeping in consideration the Quality of Service constraint such as cost, response time and availability etc. On developing an application with the help of independent web services there is always a chance of service failure, which may directly or indirectly lead to the break in service supply by the overall integration. In such situations there may be the necessity to replace these failed services in spite of redeveloping a new application. Through this paper we are proposing an efficient algorithm for handling such run time service failures to support the system working. As configuring a new system in such failures is very expensive and a tedious task to repeat, this algorithm will offer the strategy to replace only the faulty services from the service set, resuming the services in continuity.
{"title":"A Methodology for Multiple Fault Handling in QoS Based Service Oriented Architecture","authors":"S. Shrivastava, Rishi Agrawal, Asheesh Tiwari","doi":"10.1145/2979779.2979793","DOIUrl":"https://doi.org/10.1145/2979779.2979793","url":null,"abstract":"Observing last decades of emerging paradigms in technology, distributed system has played a significant role in new generation applications. Distributed systems in contrast with web services have paved a recognizable strategy for software development across the software industries. Web services participated in next generation application development through cross domain integration of targeted functionalities. Web services became an important component for the software generation globally by lay down on the principles of Service Oriented Architecture (SOA). SOA frames the casting of web services from independent developers in a single module keeping in consideration the Quality of Service constraint such as cost, response time and availability etc. On developing an application with the help of independent web services there is always a chance of service failure, which may directly or indirectly lead to the break in service supply by the overall integration. In such situations there may be the necessity to replace these failed services in spite of redeveloping a new application. Through this paper we are proposing an efficient algorithm for handling such run time service failures to support the system working. As configuring a new system in such failures is very expensive and a tedious task to repeat, this algorithm will offer the strategy to replace only the faulty services from the service set, resuming the services in continuity.","PeriodicalId":298730,"journal":{"name":"Proceedings of the International Conference on Advances in Information Communication Technology & Computing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123517494","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}
With www expanding its reach to anything and everything related to our daily lives, people are becoming more and more vocal to express their views or ideas on online portals, blogs etc. So there is a million of reviews for a product. As a result, it becomes difficult to track the opinions of customers. Sentiment analysis finds the subjective information from the source data by using natural language processing. There are many techniques available to classify the polarity of opinions. This paper is an effect to provide the detailed survey of various technology and methods to provide polarity of sentiments. Lastly, the paper also compares the two tools available for sentiment analysis and highlights their effectiveness in doing so.
{"title":"A Survey on Sentiment Analysis and Opinion Mining","authors":"Jyoti Assistant, justjyoti. verma, S. Rao","doi":"10.1145/2979779.2979832","DOIUrl":"https://doi.org/10.1145/2979779.2979832","url":null,"abstract":"With www expanding its reach to anything and everything related to our daily lives, people are becoming more and more vocal to express their views or ideas on online portals, blogs etc. So there is a million of reviews for a product. As a result, it becomes difficult to track the opinions of customers. Sentiment analysis finds the subjective information from the source data by using natural language processing. There are many techniques available to classify the polarity of opinions. This paper is an effect to provide the detailed survey of various technology and methods to provide polarity of sentiments. Lastly, the paper also compares the two tools available for sentiment analysis and highlights their effectiveness in doing so.","PeriodicalId":298730,"journal":{"name":"Proceedings of the International Conference on Advances in Information Communication Technology & Computing","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117245697","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}
Sign language serves as a primary mode of communication for deaf people. It is a major linguistic challenge which researchers all over the globe have taken up and built systems to facilitate the process of understanding the natural language by means of sign language. This paper discusses a system that is built mainly to translate Hindi text to the Indian sign language. The model is implemented using the dependency parser and POS tagger which correctly categorize the input words into their syntactic forms. Later the knowledge of wordnet is applied to increase the efficiency of the system. This paper primarily emphasizes on the role of wordnet in the expansion of the scope of dictionary. This further serves as an integral part in constructing the Indian sign language system.
{"title":"Mapping Hindi Text To Indian sign language with Extension Using Wordnet","authors":"Paras Vij, Parteek Kumar","doi":"10.1145/2979779.2979817","DOIUrl":"https://doi.org/10.1145/2979779.2979817","url":null,"abstract":"Sign language serves as a primary mode of communication for deaf people. It is a major linguistic challenge which researchers all over the globe have taken up and built systems to facilitate the process of understanding the natural language by means of sign language. This paper discusses a system that is built mainly to translate Hindi text to the Indian sign language. The model is implemented using the dependency parser and POS tagger which correctly categorize the input words into their syntactic forms. Later the knowledge of wordnet is applied to increase the efficiency of the system. This paper primarily emphasizes on the role of wordnet in the expansion of the scope of dictionary. This further serves as an integral part in constructing the Indian sign language system.","PeriodicalId":298730,"journal":{"name":"Proceedings of the International Conference on Advances in Information Communication Technology & Computing","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124846701","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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