Pub Date : 2019-03-07DOI: 10.1109/SPIN.2019.8711715
Masahiro Senda, Daiji Iwasa, Teruaki Hayashi, Y. Ohsawa
In recent years, because of the worldwide trend of big data and AI, cross-disciplinary data exchange and collaboration is one of the social demands. However, data users do not always have sufficient knowledge about data, which prevents from exchanging and utilizing data. The meaning of words depends on the contexts even if the same words are used because of the different background knowledge. It is necessary to bridge the gap between the expertise of the data owners and the requests of data users. To avoid this contextual gap, we propose the classification system to support data users to discover the related categories of data which is learned by the semantic knowledge. We use Data Jackets as the summary of data, and the knowledge base of Wikipedia and word2vec in order to reduce the influence of domain-oriented knowledge. As a result of the experiment, we found that our proposed method got a higher accuracy rate of the classification tasks and the classification was similar to human recognition.
{"title":"Data Classification by Reducing Bias of Domain-Oriented Knowledge Based on Data Jackets","authors":"Masahiro Senda, Daiji Iwasa, Teruaki Hayashi, Y. Ohsawa","doi":"10.1109/SPIN.2019.8711715","DOIUrl":"https://doi.org/10.1109/SPIN.2019.8711715","url":null,"abstract":"In recent years, because of the worldwide trend of big data and AI, cross-disciplinary data exchange and collaboration is one of the social demands. However, data users do not always have sufficient knowledge about data, which prevents from exchanging and utilizing data. The meaning of words depends on the contexts even if the same words are used because of the different background knowledge. It is necessary to bridge the gap between the expertise of the data owners and the requests of data users. To avoid this contextual gap, we propose the classification system to support data users to discover the related categories of data which is learned by the semantic knowledge. We use Data Jackets as the summary of data, and the knowledge base of Wikipedia and word2vec in order to reduce the influence of domain-oriented knowledge. As a result of the experiment, we found that our proposed method got a higher accuracy rate of the classification tasks and the classification was similar to human recognition.","PeriodicalId":344030,"journal":{"name":"2019 6th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114280369","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 : 2019-03-07DOI: 10.1109/SPIN.2019.8711591
Bilal Shabandri, P. Maheshwari
The Internet of Things (IoT) devices currently rely on centralized, brokered communication models which call for a number of security flaws and threats. Privacy & security remain a challenge owing to the existing systems being centralized - creating a single point of failure. In this paper, we lay out an architecture for incorporating a concept similar to Blockchain - the technology that underpins the cryptocurrency Bitcoin and many other cryptocurrencies to provide decentralized security and privacy for IoT devices. Currently, the issue with most IoT devices is that they lack the processing power, storage and computational overhead to run consensus algorithms to be an active part of the Blockchain network. The current issue with the blockchain on the other hand, is its low scalability and low number of transactions per second. We present an innovative approach using a technology called IOTA. This addresses some of the most important problems with existing blockchain infrastructure such as being able to run on lightweight devices with constrained memory. We eliminate transaction fees and the concept of mining which requires a large amount of processing power to compete with other miners. IOTA's main component is the Tangle, a guided acyclic graph (DAG) for transaction storage. We discuss creation of two IoT applications on the tangle - a smart utility meter system and a smart car transaction system which are connected to internet through Low Power Wide Area IoT networks.
{"title":"Enhancing IoT Security and Privacy Using Distributed Ledgers with IOTA and the Tangle","authors":"Bilal Shabandri, P. Maheshwari","doi":"10.1109/SPIN.2019.8711591","DOIUrl":"https://doi.org/10.1109/SPIN.2019.8711591","url":null,"abstract":"The Internet of Things (IoT) devices currently rely on centralized, brokered communication models which call for a number of security flaws and threats. Privacy & security remain a challenge owing to the existing systems being centralized - creating a single point of failure. In this paper, we lay out an architecture for incorporating a concept similar to Blockchain - the technology that underpins the cryptocurrency Bitcoin and many other cryptocurrencies to provide decentralized security and privacy for IoT devices. Currently, the issue with most IoT devices is that they lack the processing power, storage and computational overhead to run consensus algorithms to be an active part of the Blockchain network. The current issue with the blockchain on the other hand, is its low scalability and low number of transactions per second. We present an innovative approach using a technology called IOTA. This addresses some of the most important problems with existing blockchain infrastructure such as being able to run on lightweight devices with constrained memory. We eliminate transaction fees and the concept of mining which requires a large amount of processing power to compete with other miners. IOTA's main component is the Tangle, a guided acyclic graph (DAG) for transaction storage. We discuss creation of two IoT applications on the tangle - a smart utility meter system and a smart car transaction system which are connected to internet through Low Power Wide Area IoT networks.","PeriodicalId":344030,"journal":{"name":"2019 6th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126543232","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 : 2019-03-07DOI: 10.1109/SPIN.2019.8711758
M. Srivastava, K. Bhardwaj, Ajay Roy, Anant Singh
Proposed work describes a new grounded lossy inductance (grounded parallel RL network) simulator configuration employing two Dual-output voltage-differencing buffered amplifiers (DO-VDBA) along with single capacitance. The presented circuit configuration is purely resistor-less active realization (Active-C realization) with electronic tuning of both inductive as well as resistive part through the transconductance of employed DO-VDBAs. The electronic tuning of inductive part is independent to the resistive part which is an important advantage. The presented realization is completely free from matching conditions and its non-ideal behaviour is satisfactory. To understand the high frequency performance of simulated lossy inductance its behaviour is studied considering terminal parasitcs of DO-VDBAs. The usefulness of developed circuit is authenticated by developing a second order voltage-mode high-pass filter design example. All the designed circuits are simulated in PSPICE environment.
{"title":"An Active-C Realization for Simulating Electronically Controllable Lossy Grounded Inductance","authors":"M. Srivastava, K. Bhardwaj, Ajay Roy, Anant Singh","doi":"10.1109/SPIN.2019.8711758","DOIUrl":"https://doi.org/10.1109/SPIN.2019.8711758","url":null,"abstract":"Proposed work describes a new grounded lossy inductance (grounded parallel RL network) simulator configuration employing two Dual-output voltage-differencing buffered amplifiers (DO-VDBA) along with single capacitance. The presented circuit configuration is purely resistor-less active realization (Active-C realization) with electronic tuning of both inductive as well as resistive part through the transconductance of employed DO-VDBAs. The electronic tuning of inductive part is independent to the resistive part which is an important advantage. The presented realization is completely free from matching conditions and its non-ideal behaviour is satisfactory. To understand the high frequency performance of simulated lossy inductance its behaviour is studied considering terminal parasitcs of DO-VDBAs. The usefulness of developed circuit is authenticated by developing a second order voltage-mode high-pass filter design example. All the designed circuits are simulated in PSPICE environment.","PeriodicalId":344030,"journal":{"name":"2019 6th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130855216","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 : 2019-03-07DOI: 10.1109/SPIN.2019.8711717
Harimohan Jha, Vaibhav Lodhi, D. Chakravarty
Autonomous Ground vehicle needs to tackle a lot of problems encountered in their pathways which needs proper detection and identification for navigation purpose. Detection and identification of obstacles during navigation helps in defining the trajectories for vehicle to maintain it into a safe drivable zone. Hence, it is necessary to fuse the data from different sensors for proper navigation. In this paper, vision and radar sensors data are used for classification of objects in the field of view of vehicle and the relative distance of detection is made by the Radar sensor. 77GHz mmw radar data has been coupled with a camera data for detection and identification purpose. YOLOv3 architecture has been used for obstacle detection through vision subsystem. It is observed that the proposed system helps in detection and identification of objects in real time during navigation of vehicle. This system may be reliable and accurate even in environments with low visibility like foggy or dusty weather due to features extracted by radar sensor without any distortions in spite of less visibility observed by vision sensor.
{"title":"Object Detection and Identification Using Vision and Radar Data Fusion System for Ground-Based Navigation","authors":"Harimohan Jha, Vaibhav Lodhi, D. Chakravarty","doi":"10.1109/SPIN.2019.8711717","DOIUrl":"https://doi.org/10.1109/SPIN.2019.8711717","url":null,"abstract":"Autonomous Ground vehicle needs to tackle a lot of problems encountered in their pathways which needs proper detection and identification for navigation purpose. Detection and identification of obstacles during navigation helps in defining the trajectories for vehicle to maintain it into a safe drivable zone. Hence, it is necessary to fuse the data from different sensors for proper navigation. In this paper, vision and radar sensors data are used for classification of objects in the field of view of vehicle and the relative distance of detection is made by the Radar sensor. 77GHz mmw radar data has been coupled with a camera data for detection and identification purpose. YOLOv3 architecture has been used for obstacle detection through vision subsystem. It is observed that the proposed system helps in detection and identification of objects in real time during navigation of vehicle. This system may be reliable and accurate even in environments with low visibility like foggy or dusty weather due to features extracted by radar sensor without any distortions in spite of less visibility observed by vision sensor.","PeriodicalId":344030,"journal":{"name":"2019 6th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121331419","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 : 2019-03-07DOI: 10.1109/SPIN.2019.8711743
B. R. Behera, P. R. Meher, S. Mishra
This research article features about improvised, compact and efficient circularly polarized printed monopole antenna with broadband circular polarization for applications in the frequency from 1 GHz-to-7 GHz. Initially, a $boldsymbol{lambda}/4$ circular-shaped linearly polarized monopole antenna with the partial ground plane of $75 mathbf{mm}times 100 mathbf{mm}$ (Antenna-1) is designed. For getting circular polarization, partial ground plane is converted into an asymmetrical staircase structure, due to which, there is presence of horizontal and vertical field components (Antenna-2). A PEC reflector of $75 mathbf{mm}times 100 mathbf{mm}$ is placed above the patch at a height of 55 mm (Antenna-3) for improving antenna parameters. It exhibits impedance bandwidth of 4.9 GHz (1.87-6.77 GHz), axial bandwidth of 1.41 GHz (4.08-5.49 GHz) and average realized gain ≥ 5.5 dBc with antenna efficiency ≥ 78% over the frequency bands. These corresponding results are the improved version of antenna-2 (axial bandwidth of 720 MHz and realized gain ≥ 4.6 dBc is observed). A detailed state-of-art is presented and it is inferred from the above results that, it can play a vital role for modern day's applications in wireless communication domain.
{"title":"Compact and Efficient Printed Monopole Antenna with Broadband Circular Polarization","authors":"B. R. Behera, P. R. Meher, S. Mishra","doi":"10.1109/SPIN.2019.8711743","DOIUrl":"https://doi.org/10.1109/SPIN.2019.8711743","url":null,"abstract":"This research article features about improvised, compact and efficient circularly polarized printed monopole antenna with broadband circular polarization for applications in the frequency from 1 GHz-to-7 GHz. Initially, a $boldsymbol{lambda}/4$ circular-shaped linearly polarized monopole antenna with the partial ground plane of $75 mathbf{mm}times 100 mathbf{mm}$ (Antenna-1) is designed. For getting circular polarization, partial ground plane is converted into an asymmetrical staircase structure, due to which, there is presence of horizontal and vertical field components (Antenna-2). A PEC reflector of $75 mathbf{mm}times 100 mathbf{mm}$ is placed above the patch at a height of 55 mm (Antenna-3) for improving antenna parameters. It exhibits impedance bandwidth of 4.9 GHz (1.87-6.77 GHz), axial bandwidth of 1.41 GHz (4.08-5.49 GHz) and average realized gain ≥ 5.5 dBc with antenna efficiency ≥ 78% over the frequency bands. These corresponding results are the improved version of antenna-2 (axial bandwidth of 720 MHz and realized gain ≥ 4.6 dBc is observed). A detailed state-of-art is presented and it is inferred from the above results that, it can play a vital role for modern day's applications in wireless communication domain.","PeriodicalId":344030,"journal":{"name":"2019 6th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125258644","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 : 2019-03-07DOI: 10.1109/SPIN.2019.8711785
Mohammed Sahal, D. Mishra, N. Gupta, R. Sadanandan
From water sprinklers to combustion devices of launch vehicles, the applications of the liquid injectors are innumerable. Owing to the usage of non-renewable sources, there is a global movement towards improvement in the existing combustion systems. Efficiency and fuel emissions are influenced by fuel spray characteristics. One of the techniques used to capture the information on spray characteristics is highspeed shadowgraphy. Estimation of the required parameters needs analysis of image series. An automated method to replace tiring manual calculations makes it the job of a few seconds. The basic tools of image processing are employed in this study to ease the computation.
{"title":"Application of Digital Image Processing Method for Spray Characterization","authors":"Mohammed Sahal, D. Mishra, N. Gupta, R. Sadanandan","doi":"10.1109/SPIN.2019.8711785","DOIUrl":"https://doi.org/10.1109/SPIN.2019.8711785","url":null,"abstract":"From water sprinklers to combustion devices of launch vehicles, the applications of the liquid injectors are innumerable. Owing to the usage of non-renewable sources, there is a global movement towards improvement in the existing combustion systems. Efficiency and fuel emissions are influenced by fuel spray characteristics. One of the techniques used to capture the information on spray characteristics is highspeed shadowgraphy. Estimation of the required parameters needs analysis of image series. An automated method to replace tiring manual calculations makes it the job of a few seconds. The basic tools of image processing are employed in this study to ease the computation.","PeriodicalId":344030,"journal":{"name":"2019 6th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128396865","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 : 2019-03-07DOI: 10.1109/SPIN.2019.8711765
K. K. Bhat, A. Verma, K. Ray
Side Lobe Cancellation (SLC) is one of the widely used Electronic Counter-Counter Measure (ECCM) techniques to cancel the adverse effects of high duty noise like jamming on radar. This paper deals with performance analysis of open loop SLC in terms of variation of Cancellation Ratio (CR) with respect to Jammer to Noise Ratio (JNR), Jammer Direction of Arrival (DOA), number of snapshots, and phase center of auxiliary antennas. Simulation results are presented with different combinations of auxiliary channels & number of jammers. Results indicate that to achieve better side lobe CR, number of training samples & phase center of auxiliary antennas must be optimally chosen.
{"title":"Analysis of Side Lobe Cancellation Algorithm for Practical Implementation","authors":"K. K. Bhat, A. Verma, K. Ray","doi":"10.1109/SPIN.2019.8711765","DOIUrl":"https://doi.org/10.1109/SPIN.2019.8711765","url":null,"abstract":"Side Lobe Cancellation (SLC) is one of the widely used Electronic Counter-Counter Measure (ECCM) techniques to cancel the adverse effects of high duty noise like jamming on radar. This paper deals with performance analysis of open loop SLC in terms of variation of Cancellation Ratio (CR) with respect to Jammer to Noise Ratio (JNR), Jammer Direction of Arrival (DOA), number of snapshots, and phase center of auxiliary antennas. Simulation results are presented with different combinations of auxiliary channels & number of jammers. Results indicate that to achieve better side lobe CR, number of training samples & phase center of auxiliary antennas must be optimally chosen.","PeriodicalId":344030,"journal":{"name":"2019 6th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132023324","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 : 2019-03-07DOI: 10.1109/SPIN.2019.8711706
Saransh Sharma, Samyak Jain, Khushboo
This paper presents a recognition system, which can be helpful for a blind person. Hand gesture recognition system and face recognition system has been implemented in this paper using which various tasks can be performed. Dynamic images are being taken from a dynamic video and is being processed according to certain algorithms. In the Hand gesture system Skin color detection has been done in YCbCr color space and to discover hand convex defect character point of hand is used where different features like fingertips, angle between fingers are being extracted. According to gesture Recognized, various tasks can be performed like turning on the fan or lights. While in face recognition, Haar Cascade Classifiers and LBPH recognizer are being used for face detection and recognition respectively. With the help of OpenCV, The research has been implemented. Various hand gestures and human faces have been detected and identified using this system. The hand gesture was recognized with an accuracy of 95.2% was achieved and facial recognition was done with an accuracy of 92%.
{"title":"A Static Hand Gesture and Face Recognition System for Blind People","authors":"Saransh Sharma, Samyak Jain, Khushboo","doi":"10.1109/SPIN.2019.8711706","DOIUrl":"https://doi.org/10.1109/SPIN.2019.8711706","url":null,"abstract":"This paper presents a recognition system, which can be helpful for a blind person. Hand gesture recognition system and face recognition system has been implemented in this paper using which various tasks can be performed. Dynamic images are being taken from a dynamic video and is being processed according to certain algorithms. In the Hand gesture system Skin color detection has been done in YCbCr color space and to discover hand convex defect character point of hand is used where different features like fingertips, angle between fingers are being extracted. According to gesture Recognized, various tasks can be performed like turning on the fan or lights. While in face recognition, Haar Cascade Classifiers and LBPH recognizer are being used for face detection and recognition respectively. With the help of OpenCV, The research has been implemented. Various hand gestures and human faces have been detected and identified using this system. The hand gesture was recognized with an accuracy of 95.2% was achieved and facial recognition was done with an accuracy of 92%.","PeriodicalId":344030,"journal":{"name":"2019 6th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116541903","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 : 2019-03-07DOI: 10.1109/SPIN.2019.8711569
Fathima Afroz, S. Koolagudi
Pauses plays an essential role in speech activities. Normally it helps the listener by creating a time and space to decode and interpret the message of a speaker. But in case of stuttering pauses disturbs the normal flow of speech. The uncontrolled, frequent and unplanned occurance of pasuses leads to slow speaking rate, results in broken words and increases the severity level of stuttering. Hence pauses and stuttering has a close relationship. Pauses are considered as one of the important pattern in diagnoisis and treatment of stuttering. In this work, an attempt has been made for the identification of inaudible (Silent or Unfilled) pauses from stuttered speech. The attributes like duration, frequency, position and distribution of pauses during speech tasks are measured and quantified. UCLASS stuttered speech corpus is considered for the analysis. Automatic blind segmentation approach is adopted to segment the speech signal into voice and unvoiced regions using dynamic threshold set based on energy and zero crossing rate (ZCR). 4 th formant frequencies are analysed to identify intra-morphic (unfilled) pauses present within voiced regions. The duratiion of intra-morphic pauses are analysed for stuttred speech and normal speech. It is observed that the duration of normal intra-morphic pause ranges from 150 ms-250 ms and inter-morphic pauses are <=250 ms and short pause have duration ranges from 50 ms-150 ms. Whereas in stuttering short intra-morphic pauses ranges from 10 ms to 50 ms, long pauses ranges from 250 ms to 1 or 2 seconds. Segmentation of the intra-morphic pauses is observed to acheive an accuracy of 98%. Results are compared and validated with manual method.
{"title":"Recognition and Classification of Pauses in Stuttered Speech Using Acoustic Features","authors":"Fathima Afroz, S. Koolagudi","doi":"10.1109/SPIN.2019.8711569","DOIUrl":"https://doi.org/10.1109/SPIN.2019.8711569","url":null,"abstract":"Pauses plays an essential role in speech activities. Normally it helps the listener by creating a time and space to decode and interpret the message of a speaker. But in case of stuttering pauses disturbs the normal flow of speech. The uncontrolled, frequent and unplanned occurance of pasuses leads to slow speaking rate, results in broken words and increases the severity level of stuttering. Hence pauses and stuttering has a close relationship. Pauses are considered as one of the important pattern in diagnoisis and treatment of stuttering. In this work, an attempt has been made for the identification of inaudible (Silent or Unfilled) pauses from stuttered speech. The attributes like duration, frequency, position and distribution of pauses during speech tasks are measured and quantified. UCLASS stuttered speech corpus is considered for the analysis. Automatic blind segmentation approach is adopted to segment the speech signal into voice and unvoiced regions using dynamic threshold set based on energy and zero crossing rate (ZCR). 4 th formant frequencies are analysed to identify intra-morphic (unfilled) pauses present within voiced regions. The duratiion of intra-morphic pauses are analysed for stuttred speech and normal speech. It is observed that the duration of normal intra-morphic pause ranges from 150 ms-250 ms and inter-morphic pauses are <=250 ms and short pause have duration ranges from 50 ms-150 ms. Whereas in stuttering short intra-morphic pauses ranges from 10 ms to 50 ms, long pauses ranges from 250 ms to 1 or 2 seconds. Segmentation of the intra-morphic pauses is observed to acheive an accuracy of 98%. Results are compared and validated with manual method.","PeriodicalId":344030,"journal":{"name":"2019 6th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"6 32","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120927893","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 : 2019-03-07DOI: 10.1109/SPIN.2019.8711664
Durga Digdarsini, D. Mishra, Sanjay. D. Mehta, T. Ram
This paper gives the design and implementation of Xilinx FPGA based Forward Error Correction (FEC) encoder for DVB S2 system which includes BCH code followed by LDPC code and finally bit mapped to constellation for QPSK modulation. DVB-S2 FEC: ($mathbf{n}=64800, mathbf{k}=32400$) rate 1/2 code, with QPSK modulation scheme is considered as target for FPGA implementation. The architecture in this design efficiently uses pipeline technique along with parallel processing to optimize the hardware resources and overall latency, to accomplish FEC encoding for DVB S2 system. Coding is completed in Verilog HDL with Xilinx Virtex6 XC6VLX240T FPGA as target for hardware realization and QuestaSim simulator is used to complete the functional simulation.
{"title":"FPGA Implementation of FEC Encoder with BCH & LDPC Codes for DVB S2 System","authors":"Durga Digdarsini, D. Mishra, Sanjay. D. Mehta, T. Ram","doi":"10.1109/SPIN.2019.8711664","DOIUrl":"https://doi.org/10.1109/SPIN.2019.8711664","url":null,"abstract":"This paper gives the design and implementation of Xilinx FPGA based Forward Error Correction (FEC) encoder for DVB S2 system which includes BCH code followed by LDPC code and finally bit mapped to constellation for QPSK modulation. DVB-S2 FEC: ($mathbf{n}=64800, mathbf{k}=32400$) rate 1/2 code, with QPSK modulation scheme is considered as target for FPGA implementation. The architecture in this design efficiently uses pipeline technique along with parallel processing to optimize the hardware resources and overall latency, to accomplish FEC encoding for DVB S2 system. Coding is completed in Verilog HDL with Xilinx Virtex6 XC6VLX240T FPGA as target for hardware realization and QuestaSim simulator is used to complete the functional simulation.","PeriodicalId":344030,"journal":{"name":"2019 6th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134453006","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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