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Universal networking language: A framework for emerging NLP applications 通用网络语言:新兴NLP应用的框架
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975375
Parteek Kumar, Kanu Goel
{"title":"Universal networking language: A framework for emerging NLP applications","authors":"Parteek Kumar, Kanu Goel","doi":"10.1109/IICIP.2016.7975375","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975375","url":null,"abstract":"Presently there has been a surge for representing information in a common language for use cases like question-answering system, machine translation, text summarization etc. UNL has been a centre of attraction for researchers in the past two decades and many have tried to harness its power. This paper throws a glimpse into the strides made by such researchers. As UNL provides a language independent platform it eases out the decision making by accessing the valuable and meaningful information, which is otherwise a challenging errand. Thus it captures information and finds its major application in Natural Language Processing (NLP) domain. The paper is written with the intent to introduce its readers to the UNL framework and explain how it is being used to solve some real world problems.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126192568","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}
引用次数: 4
FPGA implementation of different NRZ line coding schemes 用FPGA实现不同的NRZ线路编码方案
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975311
Gurashish Singh, Ankit Gupta, K. Gupta, N. Pandey
{"title":"FPGA implementation of different NRZ line coding schemes","authors":"Gurashish Singh, Ankit Gupta, K. Gupta, N. Pandey","doi":"10.1109/IICIP.2016.7975311","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975311","url":null,"abstract":"The paper presents the FPGA implementation of the line coding scheme Non Return to Zero (NRZ). The NRZ line encoder and decoder are implemented in Verilog using MentorGraphics ModelSim Edition 10.4a. The three encoding schemes namely NRZ-Level, NRZ-Mark and NRZ-Space are implemented. The algorithms for the encoder and decoder are functionally verified and are made synthesizable using Xilinx V.10. The performance of the synthesized hardware is studied for different FPGAs families and devices such as Spartan 3E, Virtex 4 and Virtex 5. A performance comparison in the terms of utilized logic, power and delay is presented. The analysis of the results shows preference for Virtex 5 FPGAs in high speed data transmission whereas the Spartan 3E FPGA can be utilized in low power data transmission.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114895622","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}
引用次数: 0
Extraction of feature based on wavelet packet transform 基于小波包变换的特征提取
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975356
Nivedita Singh, M. A. Ansari
{"title":"Extraction of feature based on wavelet packet transform","authors":"Nivedita Singh, M. A. Ansari","doi":"10.1109/IICIP.2016.7975356","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975356","url":null,"abstract":"As we already know that selection of proper mother wavelet plays key role for analysis purpose. Mostly used function for detection and to locate the power quality events is Daubiechie's (Db) wavelets. For extraction of feature entropy based method is used for various levels of resolution. By extracting features we could easily detect, locate and classify the eruptions caused in power quality. The pertinent of power quality issues has been lately elevated because of the extension utilization of power semiconductor impedimenta, that upshots in a voltage and current waveforms deviation. The Power Quality (PQ) scanned is encrusted by two main objectives: The advancement of PQ indicates to liberate the power supply condition and the electrical disturbances revelation such as harmonics, transients, sags, swells, notch etc., which allows willful the conditions of the power systems. Here in this paper feature vectors are extracted by using wavelet packet transform. The learning and discernment of these unusual conditions is required to ensure that the reliability and stability of the power system do not bear depletion as a result of any vital event.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"693 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116114330","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}
引用次数: 4
Security measures for the big data, virtualization and the cloud infrastructure 大数据、虚拟化和云基础设施的安全措施
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975336
Saurabh Bahulikar
{"title":"Security measures for the big data, virtualization and the cloud infrastructure","authors":"Saurabh Bahulikar","doi":"10.1109/IICIP.2016.7975336","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975336","url":null,"abstract":"In the near future, the technological aspect is going to shift more towards data eccentric resources. The Cloud Computing, and Big Data infrastructures are going to be in the need of being more secure. Recent technological occurrences have proven that data plays an important role, governing mostly all of the functions of an enterprise. Cloud Computing has played an important role in powering the data, its privacy and deploying various Big Data applications. This paper discusses the issues related to Cloud Computing security, data privacy and its application in providing a secure framework to the Big Data and Virtualization infrastructure. The security measures for these corresponding Data Science fields, is a promising frontier in Computer Science.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122137740","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}
引用次数: 4
Word boundary detection for Gujarati speech recognition using in-ear microphone 使用入耳式麦克风进行古吉拉特语语音识别的词边界检测
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975324
A. Vijayendra, V. Thakar
{"title":"Word boundary detection for Gujarati speech recognition using in-ear microphone","authors":"A. Vijayendra, V. Thakar","doi":"10.1109/IICIP.2016.7975324","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975324","url":null,"abstract":"This paper addresses end point detection algorithm, which is most important and critical part of speech recognition system. Different approaches for endpoint detections are explained and compared to Gujarati words. Speech end point detection is required to find speech segment edge points in the presence of the background noise. It isolates words from the silent portions and improves overall accuracy of the speech recognition system. Because the silence portion is mostly affected by the noises [1]. In this work speech data is collected with the in-ear microphone. Results suggested that it gives a high recognition rate compared to conventional recording methods, i.e. by keeping the mic outside mouth. Word boundary detection is also useful to separate out the different words form sentences. The end point task is quite difficult in real time, because of low signal to noise ratio in most of the situations. Detected words are then passed to the feature extraction block.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129811509","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}
引用次数: 2
Cloud computing based routing protocol for infrastructure-based opportunistic networks 基于云计算的基于基础设施的机会网络路由协议
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975366
D. Sharma, S. K. Dhurandher, Akshay Kumar, Anil Kumar, Ankit Jha
{"title":"Cloud computing based routing protocol for infrastructure-based opportunistic networks","authors":"D. Sharma, S. K. Dhurandher, Akshay Kumar, Anil Kumar, Ankit Jha","doi":"10.1109/IICIP.2016.7975366","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975366","url":null,"abstract":"In Opportunistic Networks (Oppnets), a permanent fixed path is never assumed to be available between the source and destination. Nodes are not aware of changing network topology. So, static routing is not possible here and dynamic routing is best suited for such networks. In this paper, a Cloud Computing Based Routing Protocol (CCBRP) has been proposed for infrastructure-based Oppnets. It uses the concept of cloud computing in which data and other utilities can be accessed, configured, and manipulated on demand. In this work, 3-tier architecture has been developed for CCBRP that has three layers namely normal/regular nodes, Infostation infrastructure, and Cloud server architecture. The performance of CCBRP is evaluated and compared against the Horizontal and Vertical Ferry (HVF) strategy. Results obtained indicate that CCBRP outperforms HVF in respect of average latency and messages delivered.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"14 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127679229","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}
引用次数: 1
Comparative evaluation of two segmentation algorithms: Application on liver segmentation of CT abdomen images 两种分割算法的比较评价:在CT腹部图像肝脏分割中的应用
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975398
Ritambhara Thakur, D. Mittal
{"title":"Comparative evaluation of two segmentation algorithms: Application on liver segmentation of CT abdomen images","authors":"Ritambhara Thakur, D. Mittal","doi":"10.1109/IICIP.2016.7975398","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975398","url":null,"abstract":"Liver segmentation plays a crucial role mainly in tumor segmentation, 3D volume reconstruction and treatment planning of liver disease. In the present work, a comparative evaluation of two segmentation methods named as active contour and level set is presented. Comparative evaluation of both methods has been done individually by applying on Computed Tomography (CT) abdomen images. Comparative study is done by following steps (i) Preprocessing using morphological functions (ii) Segmentation of liver using active contour/level set algorithms (iii) 3-Dimensional volume reconstruction. Results of applied liver segmentation algorithms are compared with manually performed delineations by radiologist. Volume overlapping of above methods is assessed using Dice similarity coefficient (DSC) which gives mean DSC of 93.52%±.62 and 89.48%±.76 in case of active contour and level set method respectively. Finally it can be demonstrated that active contour is superior to level set in terms of accuracy, processing time and 3D volume reconstruction.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132421344","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}
引用次数: 0
On the probability of appearance of primary user in IEEE 802.22 WRAN using an artificial neural network learning technique 利用人工神经网络学习技术研究IEEE 802.22无线局域网中主用户出现的概率
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975317
Nitin Gupta, S. K. Dhurandher, I. Woungang
{"title":"On the probability of appearance of primary user in IEEE 802.22 WRAN using an artificial neural network learning technique","authors":"Nitin Gupta, S. K. Dhurandher, I. Woungang","doi":"10.1109/IICIP.2016.7975317","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975317","url":null,"abstract":"IEEE 802.22 wireless regional area networks promotes the use of TV white spaces to provide wireless broadband access to rural area using cognitive radio techniques. While selecting the best unused channel for transmission, a secondary user (SU) can use various parameters, among which the probability of appearance of the primary user (PU) in the channel. If that probability is high, the SU has to vacate the channel quickly when the PU will appear. This increases the hand-off and degrades the throughput. In this paper, the probability of appearance of a PU in a particular channel is predicted using an artificial neural network learning technique that learns the previous behavior of the PU. Simulation results are presented, showing that our proposed approach can be well fitted with the Mean Square Error (MSE) method as low as 0.08.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130177123","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}
引用次数: 1
PrEduSense: Smart Education Kit for pre-primary classes using Intel® real sense PrEduSense:使用英特尔®真实感官的学前智能教育工具包
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975325
Zeenat Shareef, S. Reddy
{"title":"PrEduSense: Smart Education Kit for pre-primary classes using Intel® real sense","authors":"Zeenat Shareef, S. Reddy","doi":"10.1109/IICIP.2016.7975325","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975325","url":null,"abstract":"The education system has evolved from mere chalk and slate teaching methodology to presentations and smart board used in classrooms nowadays. In order to make teaching more interactive and interesting, applications involving slice of augmented reality are also developed. In this paper PrEduSense: Smart Education Kit for Pre-Primary Classes using Intel® Real Sense is introduced which consists of all the educational modules needed by the school teacher to teach pre-primary students. The concept of Human Computer Interaction is also introduced in this application by incorporating the touchless controller module, gesture recognition module and voice synthesis features of Intel Real Sense Camera. These features make the application further interactive and attractive.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133619533","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}
引用次数: 1
Enhancement of inverse synthetic aperture radar image using convolved high-order instantaneous moment 利用卷积高阶瞬时矩增强逆合成孔径雷达图像
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975315
Rinki Gupta, R. Bahl, Arun Kumar
{"title":"Enhancement of inverse synthetic aperture radar image using convolved high-order instantaneous moment","authors":"Rinki Gupta, R. Bahl, Arun Kumar","doi":"10.1109/IICIP.2016.7975315","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975315","url":null,"abstract":"In this paper, we consider the generation of inverse synthetic aperture radar (ISAR) image of a target using polynomial phase signal (PPS) modeling of time histories. For a target under complex motion, the time histories in the backscatter signal with time-varying Doppler frequency shifts are modeled as multicomponent PPS. We propose the convolution of scaled high-order instantaneous moments to enable the use of high resolution spectral estimators, such as estimation of signal parameters via rotational invariance technique (ESPRIT), for estimation of the parameters of the multicomponent PPS. Using the proposed technique, the phase parameters are estimated with enhanced resolution and improved accuracy in terms of the MSE of the estimates, as compared to the conventionally used Fourier transform based method, for the considered multicomponent signal in medium to high signal-to-noise ratio. The proposed technique is utilized in ISAR imaging to achieve highly focused image of the target.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115651717","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}
引用次数: 0
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