Volume-1 Issue-1, February 2021 – Indian Journal of Signal Processing (IJSP)

A1007021121

IJSP Journal — Tue, 10 Aug 2021 11:04:54 +0000

The Indian Journal of Signal Processing (IJSP) has ISSN 2582-8320 (online), open-access, peer-reviewed, periodical quarterly international journal, which is published by Lattice Science Publication (LSP) in February, May, August and November. The aim of the journal is to publish high quality peer–reviewed original articles in the area of Signal Processing that covers Analog Filter Design, Applications of Fourier Transforms, Coding Theory, Continuous Time Signals, Digital Communication Techniques, Digital Design and Synthesis, Digital Filter Structure, Digital Systems – Characterization, Description and Testing, Discrete Fourier Transform, DSP Algorithms and Architecture, IR Filters, IIR Filters, Linear Algebra for Signal Processing, Linear and Nonlinear Optimization, Multirate Signal Processing, Optical, Signal Processing, Random Processes, Signal Compression-Theory and Methods, Simple Digital Filters, Speech and Audio Processing, Wavelet Theory, Filter Design and Structures, Fast Algorithms, Adaptive filters, Nonlinear Signals and Systems, Multirate Filtering and Filter Banks, Signal Reconstruction, Time-Frequency Analysis, Spectral Estimation, Higher Order Spectrum Analysis, Parameter Estimation, Detection, Array Signal Processing, Statistical Signal Analysis, Signal and System Modelling, Cyclostationary Signal Analysis, Speech Production and Perception, Speech Analysis, Speech Synthesis, Speech Coding, Speech Recognition, Speech Enhancement and Noise Reduction, Active Noise Control, Active Noise Reduction, Echo Cancellation, Psychoacoustics, Broadband Audio Coding, Signal Processing for Music, Binaural Systems, Room Acoustics, Digital Transforms, HDTV, Multidimensional Systems, Machine Vision, Image Coding, Image Motion / Sequence / Video, Computed Imaging, Geophysical and Seismic Processing, Image Analysis and Segmentation, Image Filtering, Restoration and Enhancement, Image Representation and Modelling, Pattern Recognition, Neural Networks, Fuzzy Systems, Evolutionary Computation, Expert Systems, Multisensor Data Fusion, Architectures and VLSI Hardware, Programmable Signal Processors, Algorithms and Applications Mappings, Design Methology and CAD Tools, Languages and Real Time Software, Real Time System Estimation, Optimization Problems in Signal Processing, Radar, Sonar, Biomedical Processing, Geophysical Signal Processing, Underwater Signal Processing, Remote Sensing, Robotics, Astronomy, Classification, Crime on the Web, Security/Publicity/Privacy/Reputation, Frauds in Business Reputation, Satellite Signals Processing, Measure and Instrumentation. #Analog Filter Design #Applications of Fourier Transforms #Coding Theory #Continuous Time Signals #Digital Communication Techniques #Digital Design and Synthesis #Digital Filter Structure #Digital Systems – Characterization #Description and Testing #Discrete Fourier Transform #DSP Algorithms and Architecture #IR Filters #IIR Filters #Linear Algebra for Signal Processing #Linear and Nonlinear Optimization #Multirate Signal Processing #Neural Networks #Optical #Signal Processing #Random Processes #Signal Compression-Theory and Methods #Simple Digital Filters #Speech and Audio Processing #Wavelet Theory #Filter Design and Structures #Fast Algorithms #Adaptive filters #Nonlinear Signals and Systems #Multirate Filtering and Filter Banks #Signal Reconstruction #Time-Frequency Analysis #Spectral Estimation #Higher Order Spectrum Analysis #Parameter Estimation #Detection #Array Signal Processing #Statistical Signal Analysis #Signal and System Modelling #Cyclostationary Signal Analysis #Speech Production and Perception #Speech Analysis #Speech Synthesis #Speech Coding #Speech Recognition #Speech Enhancement and Noise Reduction #Active Noise Control #Active Noise Reduction #Echo Cancellation #Psychoacoustics #Broadband Audio Coding #Signal Processing for Music #Binaural Systems #Room Acoustics #Digital Transforms #HDTV #Multidimensional Systems #Machine Vision #Image Coding #Image Motion / Sequence / Video #Computed Imaging #Geophysical and Seismic Processing #Image Analysis and Segmentation #Image Filtering #Restoration and Enhancement #Image Representation and Modelling #Pattern Recognition #Neural Networks #Fuzzy Systems #Evolutionary Computation #Expert Systems #Multisensor Data Fusion #Architectures and VLSI Hardware #Programmable Signal Processors #Algorithms and Applications Mappings #Design Methology and CAD Tools #Languages and Real Time Software #Real Time System Estimation #Optimization Problems in Signal Processing #Radar #Sonar #Biomedical Processing #Geophysical Signal Processing #Underwater Signal Processing #Remote Sensing #Robotics #Astronomy #Classification #Crime on the Web #Security/Publicity/Privacy/Reputation #Frauds in Business Reputation #Satellite Signals Processing #Measure and Instrumentation #PhD #Academic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #LatticeScience #ESCI #Science #Journal #Conference #SSRN #PubLons

Fake Profile Detection on Twitter using SVM Classifier
V. Aravindh Pashwan¹, D. S. Ravi²
¹V. Aravindh Pashwan, M. Phil. Scholar, Dept. of Computer Science St. Joseph’s College, Tiruchirappalli, Tamil Nadu, India.

²D. S. Ravi, Associate Professor Dept. of Computer Science St. Joseph’s College, Tiruchirappalli, Tamil Nadu, India.

Manuscript received on 13 January 2021 | Revised Manuscript received on 07 February 2021 | Manuscript Accepted on 15 February 2021 | Manuscript published on 28 February 2021 | PP: 16-20 | Volume-1 Issue-1, February 2021 | A1007021121/2021©LSP

Open Access | Ethics and Policies | Indexing and Abstracting

Abstract: Artificial intelligence or machine intelligence were process or actions performed by machine on its own by using the technique “problem solving” and “learning”. Cyber threat is very serios problem in this modern and technology era which lead to huge lose and threat to the human asset and their personal information. The most of human information are gathered and misused from online social media networks by using fake profiles. The aim of the study is to detect the fake user on online social media network – TWITTER, utilizing machine learning algorithm (SVM – Support Vector Machine). This proposed work helps to identify the fake user using twitter user profile attributes, with the aim of improve the security related to OSN- Online Social Media Platforms and achieved the accuracy of 97.33%. In the near future a work may extended by considering many other attributes and implemented through various algorithm to improve in finding the fake users with more accuracy.

Keywords: Fake user, Machine Learning, Online Social Network, Artificial Intelligence.

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A1005021121

IJSP Journal — Tue, 10 Aug 2021 11:00:08 +0000

Application for Speech Recognition Help to Search Government Policies – Based on MFCC with Gammatone Filter
Mugdha Parande¹, Shanthi Therese², Vinayak Shinde³
¹Mugdha Parande, Shri L.R. Tiwari College of Engineering, Kanakia Park, Mira Road(East).Thane, Maharashtra, India.

²Shanthi Therese, Shri L.R. Tiwari College of Engineering, Kanakia Park, Mira Road(East).Thane, Maharashtra, India.

³Vinayak Shinde, Shri L.R. Tiwari College of Engineering, Kanakia Park, Mira Road(East).Thane, Maharashtra, India.

Manuscript received on 14 January 2021 | Revised Manuscript received on 01 February 2021 | Manuscript Accepted on 15 February 2021 | Manuscript published on 28 February 2021 | PP: 12-15 | Volume-1 Issue-1, February 2021 | A1005021121/2021©LSP

Open Access | Ethics and Policies | Indexing and Abstracting

Abstract: Speech is a natural mode of communication for people. Yet people are so comfortable with verbal skills rather than writing. Today’s digital world needs to interact with the computers via speech which can be easier and fast. Outstanding work in speech recognition and feature extracting has produced the commercial speech recognition systems for speech driven computing and word processing systems. This paper deals with an application to make an easy search to retrieve Government Policies from system database by using the techniques of speech recognition. For developing application we use hybrid feature extraction technique i.e. MFCC with Gammatone Filter Bank and for recognition Vector Quantization is used.

Keywords: Speech Recognition Systems for Speech Driven Computing

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A1004021121

IJSP Journal — Tue, 10 Aug 2021 10:49:45 +0000

Baseband Coding for Audio Steganography
Santanu Bairagya

Santanu Bairagya, Assistant Professor, Department of Electronics & Communication Engineering, Institute of Engineering & Industrial Technology,Durgapur-12, West Bengal, India.

Manuscript received on 17 January 2021 | Revised Manuscript received on 02 February 2021 | Manuscript Accepted on 15 February 2021 | Manuscript published on 28 February 2021 | PP: 7-11 | Volume-1 Issue-1, February 2021 | Retrieval Number: A1004021121/2021©LSP

Open Access | Ethics and Policies | Indexing and Abstracting

Abstract: This paper describes “Baseband Coding for audio Steganography‟ deals with hiding and sending data in multimedia files. Here we will try to send a code through music. The code will be inserted in to the waveform through audio mixer and hardware PWM. While the listened mixed output will be heard all most same to same as the original song. Only who knows the decoding technique will be able to extract the codes. A microcontroller based circuit is used as a mixer and some techniques of audio signal processing are used in this project. In the preliminary stage i.e. in the simulation part(using the c# codes ,not the hardware ) we were able to send the following five alphabets – ‘A’, ‘B’, ‘C’, ‘D’, ‘E’, ‘F’ successfully . Later we are trying to send all twenty six alphabets using the mixer hardware.

Keywords: Here we will try to send a code through music.

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A1002021121

IJSP Journal — Tue, 10 Aug 2021 10:44:29 +0000

Investigation of Morphology, Structure and Optical properties of Cu doped SnO2 via Chemical Precipitation Method for Optical Ethanol Sensing
Pradeep Kumar Yadav¹, Chandra Mohini², Navin Chaurasiya³
¹Pradeep Kumar Yadav, M.Tech (Nano-Optoelectronics), Babasaheb Bhimrao Ambedkar University, Lucknow, India.

²Chandra Mohini, M.Tech (Nano-Optoelectronics), Babasaheb Bhimrao Ambedkar University, Lucknow, India.

³Navin Chaurasiya, M.Tech (Nano-Optoelectronics), Babasaheb Bhimrao Ambedkar University, Lucknow, India.

Manuscript received on 19 January 2021 | Revised Manuscript received on 04 February 2021 | Manuscript Accepted on 15 February 2021 | Manuscript published on 28 February 2021 | PP: 4-6 | Volume-1 Issue-1, February 2021 | Retrieval Number: A1002021121/2021©LSP

Open Access | Ethics and Policies | Indexing and Abstracting

Abstract: Cu doped SnO2 were prepared via low cost and simple Chemical Precipitation Method for optical ethanol sensing. Morphology, structure and optical properties were characterized by Scanning Electron Microscope (SEM), Energy Dispersive X-ray Spectroscopy (EDS), X-Ray Diffraction (XRD), Fourier Transform Infrared Spectroscopy (FTIR), and Ultraviolet Visible Spectroscopy (UVS). 3 wt% of Cu is present in SnO2 confirm by EDX, Cu doping does not affect the structure of SnO2 and also decreases the size of SnO2 confirm by the XRD, the average size of Cu doped SnO2 was found 6.97 nm. Light Transmittance and absorbance of the material are high, that means it has optical property. Cu doped SnO2 exhibit good sensitivity towards ethanol sensing. The average ethanol sensitivity was found to be 0.31 μW / ppm.

Keywords: Cu, SnO2, Characterizations, Properties and Ethanol Sensing.

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A1001021121

IJSP Journal — Tue, 10 Aug 2021 10:38:47 +0000

Quantum Cryptography for Security of Data in Smart Grid System
B.Kedar Nath¹, B.Ramanuja Charya², Y.V.Avinash³, Siva Priya⁴
¹B.Kedar Nath, Department of Computer Science Engineering, SRM Institute of Science & Technology, Chennai, India.

²B.Ramanuja Charya, Department of Computer Science Engineering, SRM Institute of Science & Technology, Chennai, India.

³Y.V.Avinash, Department of Computer Science Engineering, SRM Institute of Science & Technology, Chennai, India.

⁴Siva Priya, Asst. Professor, Department of Computer Science Engineering, SRM Institute of Science & Technology, Chennai, India.

Manuscript received on 19 January 2021 | Revised Manuscript received on 29 January 2021 | Manuscript Accepted on 15 February 2021 | Manuscript published on 28 February 2021 | PP: 1-3 | Volume-1 Issue-1, February 2021 | Retrieval Number: A1001021121/2021©LSP

Open Access | Ethics and Policies | Indexing and Abstracting

Abstract: Smart grid is a highly reliable power system equipped with cyber-physical framework with sustainability of energy production, distribution and usage. It is a planned network that uses information technology to supply power efficiently and securely. The flow of energy in smart grid is bidirectional i.e. two way communication with control. It used for power monitoring, distribution of automation and protection. It offers ascend to significant measures of heterogeneous power information and plausibility of numerous assaults on the shrewd framework which bargains the privacy and trust-worthiness of the power information. The Aim is to avert digital assaults on the Smart Grid framework utilizing Quantum Cryptography guideline.

Keywords: Quantum Cryptography, QKD, RSA, Power Data, Smart Grid.

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