Volume-8 Issue-1, May 2019 – International Journal of Recent Technology and Engineering (IJRTE) https://www.ijrte.org Exploring Innovation | ISSN:2277-3878(Online) | A Periodical Journal | Reg. No.: C/819981 | Published By BEIESP Fri, 07 Oct 2022 07:07:16 +0000 en-US hourly 1 https://www.ijrte.org/wp-content/uploads/2021/02/cropped-IJRTE-Logo-WS-32x32.png Volume-8 Issue-1, May 2019 – International Journal of Recent Technology and Engineering (IJRTE) https://www.ijrte.org 32 32 F23840376192 https://www.ijrte.org/portfolio-item/f23840376192/ Fri, 07 Oct 2022 06:20:15 +0000 https://www.ijrte.org/?post_type=portfolio&p=31172 The post F23840376192 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Practical-Road Following-Based Smart System for Blind Individuals
T. Karthikeyan1, G. Jaya Sree2, M. Rajesh3, K. Bangaru Babu4, E. Prudhvi5
1Dr. T. Karthikeyan, Associate Professor, Department of Engineering and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India.
2G. Jaya Sree, Department of Engineering and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India
3M. Rajesh, Department of Engineering and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India.
4K. Bangaru Babu, Department of Engineering and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India
5E. Prudhvi, Department of Engineering and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India
Manuscript received on 01 April 2019 | Revised Manuscript received on 06 May 2019 | Manuscript published on 30 May 2019 | PP: 3502-3505 | Volume-8 Issue-1, May 2019 | Retrieval Number: F23840376192 /19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: To enable the visually impaired individuals to stroll to the goal effectively and securely in indoor condition. Kinect sensor and Arduino are the principle equipment parts. Here we are utilizing the Arduino Boards as controllers for our model. The KINECT innovation has been connected to genuine applications as virtual shopping, training. Engineers for the Kinect assembled an extraordinary measure of information with respect to movement catch of real moving things, in actuality, situations. The camera recognizes the red, green, and blue shading segments just as body-type and facial highlights. This aides in facial acknowledgment and body acknowledgment. The sensors implanted are of ease, little volume, and simple incorporation. This is only a model yet, in actuality, these can be exceptionally helpful to the outwardly disabled individuals.
Index Terms: Kinect Sensor, Arduino, Facial Features
Scope of the Article: Network Performance; Protocols; Sensors

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]]> F2592037619 https://www.ijrte.org/portfolio-item/f2592037619/ Fri, 07 Oct 2022 06:13:55 +0000 https://www.ijrte.org/?post_type=portfolio&p=31170 The post F2592037619 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Image Forgery Detection using Hash Functions
Sruthi S Menon1, Mary Saana N J2, Deepa G3
1Sruthi S Menon, Department of Computer Science and IT, Amrita Vishwa Vidyapeetham University/ Amrita School of Arts and Sciences Kochi, India.
2Mary Saana N J, Department of Computer Science and IT, Amrita Vishwa Vidyapeetham University/ Amrita School of Arts and Sciences Kochi, India.
3Deepa Gopinath, Department of Computer Science and IT, Amrita Vishwa University/ Amrita School of Artsand Sciences Kochi, India. 
Manuscript received on 01 April 2019 | Revised Manuscript received on 06 May 2019 | Manuscript published on 30 May 2019 | PP: 3498-3501 | Volume-8 Issue-1, May 2019 | Retrieval Number: F2592037619 /19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Digital images are widely spread in today’s world and morphing of these images are also increased. Morphing of the images is the process of changing original image into another image using different tools. In social media the invasion of these morphed images are rapidly increasing and traditionally, the tampered images were found by the pixel comparison method. This way of detection leads to complexity and space consumption. pHash is used in this system as hashing algorithm.We effectively proposing a new and sophisticated technique to find morphed images using the features of pHash algorithm.
Index Terms: Image Forging, p (Perceptual Hash) Hash, Retouching, Splicing, Cloning, Hexalisation, Comparison, Grayscale Conversion.
Scope of the Article: Image Security

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]]> E1796017519 https://www.ijrte.org/portfolio-item/e1796017519/ Fri, 07 Oct 2022 06:09:13 +0000 https://www.ijrte.org/?post_type=portfolio&p=31168 The post E1796017519 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Fixed Point Theorems for Semi and Weak Compatible Mappings in Symmetric Spaces
Nidhi Asthana1, Aklesh Pariya2
1Dr. Nidhi Asthana, Asst. Prof of Applied Mathematics, STMENMIMS, Indore Campus India.
2Dr. Aklesh Pariya, Asst. Prof of Applied Mathematics, Medicaps University, Indore India.
Manuscript received on 01 April 2019 | Revised Manuscript received on 06 May 2019 | Manuscript published on 30 May 2019 | PP: 3493-3497 | Volume-8 Issue-1, May 2019 | Retrieval Number: E1796017519/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The objective of our research paper is to establish a fixed-point theorem for Symmetric space with the notion of weak and semi compatible mappings. The main result of our research paper enlarges previous ones in symmetric spaces.
Keywords: Symmetric Spaces, Compatibility, Semi Compatibility, Weak Compatibility Common Fixed Point.
Scope of the Article: Smart Spaces

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]]> A2137058119 https://www.ijrte.org/portfolio-item/a2137058119/ Fri, 07 Oct 2022 06:04:38 +0000 https://www.ijrte.org/?post_type=portfolio&p=31166 The post A2137058119 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Financial Time Series Forecasting using Back Propagation Neural Network and Deep Learning Architecture
Richa Handa1, A.K. Shrivas2, H.S. Hota3
1Richa Handa, Department of Computer Science, Dr. C.V. Raman University, Bilaspur (C.G.), India.
2A.K. Shrivas, Department of Computer Science, Dr. C.V. Raman University, Bilaspur (C.G.), India.
3H. S. Hota, Department of Computer Science and Application, Atal Bihari Vajpayee University, Bilaspur (C.G.), India
Manuscript received on 01 April 2019 | Revised Manuscript received on 06 May 2019 | Manuscript published on 30 May 2019 | PP: 3487-3492 | Volume-8 Issue-1, May 2019 | Retrieval Number: A2137058119/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Artificial neural network is widely used for time series data which have got impact in today’s economy with advancement of new artificial techniques. In this study we have used three time series data i.e.BSE30 stock data, INR/USD Foreign Exchange (FX) data and Crude Oil Data for prediction. Many linear and non linear models have been developed for these time series prediction. Our approach in this work is to comprise a robust predictive model for next day ahead prediction. In this paper we have done comparative study of traditional artificial neural network: Error Back Propagation Network (EBPN) and Deep Neural Network: Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) for financial time series prediction. It has been observed that Deep Neural Network is outperforming the traditional Neural Network EBPN. The performances of models are measured by error measures: Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE).
Index Terms: Deep Neural Network, Error Back Propagation Network (EBPN), Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN).
Scope of the Article: Deep Learning

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]]> A1245058119 https://www.ijrte.org/portfolio-item/a1245058119/ Fri, 07 Oct 2022 06:00:56 +0000 https://www.ijrte.org/?post_type=portfolio&p=31164 The post A1245058119 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Groundwater Quality Assessment in Kattedan Industrial Area, Hyderabad, India
Durgasrilakshmi Hari
Durgasrilakshmi Hari, Assistant Professor, Department of Civil Engineering, Vardhaman College of Engineering, Hyderabad (Telangana), India.
Manuscript received on 01 April 2019 | Revised Manuscript received on 06 May 2019 | Manuscript published on 30 May 2019 | PP: 3481-3486 | Volume-8 Issue-1, May 2019 | Retrieval Number: A1245058119/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The present work is carried out for assessing the groundwater quality of Kattedan industrial area. About 26 groundwater samples were collected in and around the Kattedan industrial area for a physicochemical analysis. The present water quality status is calculated by considering the following 13 parameters such as pH, Colour, Turbidity , Dissolved Oxygen, Conductivity, Alkalinity, Total dissolved solids, Chlorides, Phosphates, Nitrates, Total Hardness, Calcium Hardness, Magnesium Hardness. The acquired results are compared with BIS 10500: 2012 Drinking Water Specification. The results showed that the ground water with in industrial area has very high content of Total dissolved solids , Turbidity, Conductivity, Colour, DO, chlorides, Phosphates and Mg, Ca and Total Hardness showing that the industrial effluents are causing direct contamination of water, and are also responsible for potential health problems. The results of the study suggest that regular analysis of physicochemical characteristics should be carried out to protect the water resources and to safeguard the groundwater quality in and around Kattedan industrial area.
Keywords: Physicochemical Parameters, Drinking Water, Industrial Area, Kattedan.
Scope of the Article: Industrial Engineering

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]]> A1859058119 https://www.ijrte.org/portfolio-item/a1859058119/ Fri, 07 Oct 2022 05:54:26 +0000 https://www.ijrte.org/?post_type=portfolio&p=31161 The post A1859058119 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Chirp-Z Transform Based Pilot Estimation for 2X2 MIMO-Alamouti Systems
Padmavathi T1, Kusuma Kumari Ch2, Madhu R3
1T Padmavathi, Research Scholar, Department of Electronics and Communication Engineering, University College of Engineering, JNTUK, Kakinada
2Dr. Kusma Kumari Cheepurupalli, Department of Electronics and Communication Engineering, Gayatri Vidya Parishad College of Engineering (Autonomous), Visakhapatnam India.
3Dr R Madhu, Department of Electronics and Communications University College of Engineering, JNTUK Kakinada India.
Manuscript received on 01 April 2019 | Revised Manuscript received on 06 May 2019 | Manuscript published on 30 May 2019 | PP: 3475-3480 | Volume-8 Issue-1, May 2019 | Retrieval Number: A1859058119/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Wireless communication advancements brought simultaneous development in datarate along with high accuracy. 4G Technology demands high datarate and with Multiple Input- Multiple Output (MIMO) systems this can be achieved. MIMO system improves the datarate without additional transmission power and Bandwidth. Orthogonal Space Time Block Coding (OSTBC) achieves transmit diversity and receive diversity by a set of received signals with different antennas. MIMO-Alamouti systems require precise channel estimation and synchronization to reduce Bit Error Rate (BER). In this work, Transform Based Pilot Estimation (TBPE) techniques are used to compute CSI (Channel State Information). Various Pilot patterns have been designed using different signal transform techniques such as Hardamard, Hankel, Singular Value Decomposition (SVD) and compared with the random sequences for MIMO time varying channels. BER has been evaluated for various lengths of pilots like 4,8,16 symbols for2X2 MIMO systems with BPSK and QPSK Modulation. Least Square Error method has been used to compute Mean Square Error (MSE). In addition Trellis Coded Modulation (TCM) Channel Coding and Chirp-Z Transform (CZT) are used for MIMO Transmission. Although Hardamard Transform based pilot channel estimation gives least BER, CZT based pilot channel estimation outperforms all other transmission techniques with least BER.
Index Terms: Tansmit Diversity, Receive Diversity, MIMO, OSTBC, BER, Random, Hardamard
Scope of the Article: MIMO Antenna

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]]> A3056058119 https://www.ijrte.org/portfolio-item/a3056058119/ Fri, 07 Oct 2022 05:49:48 +0000 https://www.ijrte.org/?post_type=portfolio&p=31159 The post A3056058119 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Reduction of Signal Integrity Issues in Printed Circuit Board Using Electromagnetics Bandgap Structure
Fahad Bilal1, Manisha Bansode2, Pramod Bhavar the3, Surendra Rathod4
1Fahad Bilal, Department of EXTC Engg., SPIT, Mumbai, India.
2Manisha Bansode, Department of Electronics Engg., SPIT, Mumbai, India.
3Pramod Bhavar the, Department of EXTC Engg., PVPPCOE, Mumbai, India.
4Surendra Rathod, Department of Electronics Engg., SPIT, Mumbai, India.
Manuscript received on 01 April 2019 | Revised Manuscript received on 06 May 2019 | Manuscript published on 30 May 2019 | PP: 3471-3474 | Volume-8 Issue-1, May 2019 | Retrieval Number: A3056058119 /19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: These day’s electronic devices operate on the GHz frequency which requires a high-speed circuit. Due to high-speed data transfer, there are lot of signal integrity issues induce in circuit. Electromagnetic Bandgap Structure is used to reduce the signal integrity issues. In this paper, two dimensional electro- magnetic bandgap structure is proposed for noise mitigation in printed circuit board. Results confirms the reliability of 2D EBG for noise mitigation and the upgrade in the signal quality. Results are interms of transmission parameter S21 -86.49 dB, surface current Distribution and have the bandwidth of 1.48 GHz.
Index Terms: Printed Circuit Board (PCB), Signal In- Tegrity (SI), Electromagnetic Band- Gap (EBG) Structure
Scope of the Article: Mobile System Integrity, Security, and Fault Tolerance

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]]> A3085058119 https://www.ijrte.org/portfolio-item/a3085058119/ Fri, 07 Oct 2022 05:41:32 +0000 https://www.ijrte.org/?post_type=portfolio&p=31157 The post A3085058119 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Optimization of the Bug Report Classification Using Genetic Algorithm
Gayathri P M1, Greeshma K Babu2, Deepa G3
1Gayathri P M, Department of Computer Science and IT, AmritaVishwaVidyapeetham/ Amrita School of Arts and Scineces Kochi, Ernakulam, India.
2Greeshma K Babu, Department of Computer Science and IT, Amrita Vishwa Vidyapeetham/ Amrita School of Arts and Scineces Kochi, Ernakulam, India.
3Deepa G, Department of Computer Science and IT, Amrita Vishwa Vidyapeetham/Amrita School of Artsand Scineces Kochi, Ernakulam, India.
Manuscript received on 21 April 2019 | Revised Manuscript received on 26 May 2019 | Manuscript published on 30 May 2019 | PP: 3468-3470 | Volume-8 Issue-1, May 2019 | Retrieval Number: A3085058119/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: A bug report is an effective way of communicating the bugs among bug reporters and bug recipients. At the same time, bad bug reports are long, inefficient form of communication for all concerned and do not contain relevant information to resolve the problems. The misclassification in bug report is therefore a serious issue that scarifies the accuracy of bug reports. Here we propose an approach to merging text mining and NLP to identify bugs and nonbugs in a bug report. In this system, KNN and Info Gain are used to classify and Genetic algorithm are used to optimize and improve automatic bug prediction performance.
Index Terms: KNN (K Nearest Neighbour) Classifier, NLTK (Natural Language Tool Kit), Genetic Algorithm.
Scope of the Article: Classification

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]]> A3404058119 https://www.ijrte.org/portfolio-item/a3404058119-2/ Fri, 07 Oct 2022 05:18:56 +0000 https://www.ijrte.org/?post_type=portfolio&p=31155 The post A3404058119 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Evaluation of Tropospheric & Clock Errors for Precision GPS Positioning & Navigation
VC. Vishnu Vardhan Reddy1, M. Manohar Reddy2, G. Akshitha3, K.S. Ramesh4, R. Revathi5
1VC. Vishnu Vardhan Reddy, Student, Electronics and Communication Department, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur District, India.
2M. Manohar Reddy, Student, Electronics and Communication Department, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur District, India.
3G. Akshitha, Student, Electronics and Communication Department, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur District, India.
4Dr. K.S. Ramesh, Professor, Electronics and Communication Department, Faculty of Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur District, India.
5Dr. R. Revathi, Associate Professor, Electronics and Communication Department, Faculty of Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur District, India.
Manuscript received on 21 April 2019 | Revised Manuscript received on 27 May 2019 | Manuscript published on 30 May 2019 | PP: 3462-3467 | Volume-8 Issue-1, May 2019 | Retrieval Number: A3404058119/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Positional inaccuracies in GPS are caused by severalerrors such as Ionospheric, Tropospheric, Satellite Clock, Receiver Clock etc., Instantaneous correction of these error aids in precise navigation. In the present work Original Hopfield model is considered for the tropospheric correction. The instantaneous tropospheric correction results in more precise position using GPS.
Index Terms: Clock Error, Ephymeris Error, Global Positioning System (GPS), Original Hopfield model, Tropospheric Delay
Scope of the Article: Evaluation of Glazing Systems for Energy Performance

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]]> A1815058119 https://www.ijrte.org/portfolio-item/a1815058119/ Fri, 07 Oct 2022 04:55:36 +0000 https://www.ijrte.org/?post_type=portfolio&p=31152 The post A1815058119 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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A Modified Image Watermarking Method using Logistics and Rsa Algorithm
Anitta Balsalam Vasanthan
Anitta Balsalam Vasanthan, PG Scholar, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore-632014, Tamil Nadu, INDIA.
Manuscript received on 21 April 2019 | Revised Manuscript received on 26 May 2019 | Manuscript published on 30 May 2019 | PP: 3456-3461 | Volume-8 Issue-1, May 2019 | Retrieval Number: A1815058119 /19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In the current era due to the increasing growth of multimedia data it is necessary to protect them, as they are subjected to cyber-attacks like ransomware, trojan, viruses etc. This can affect the con fi dentiality and integrity of the confidential data transmitted by private and government organizations over the internet. To protect such data digital watermarking is used highly now adays. Embeddingdataintodigital signals like images, audios and videos in the form of digital watermarking copyright information by which the header of data block orsynchronizationoftimeisadapted to mark data. Most of the existing watermarking algorithm encrypts the watermark image using RSA, but this is a time-consuming process. Several other existing techniques like Arnold transformation, LSB, DWT etc. fail to address all the security requirements. This paper puts forth a modified watermarking system that uses RSA encryption algorithm and Scrambling Logistic algorithm. In it the watermark image is encrypted by using Logistic and RSA technique is used for encrypting the scrambling parameters. The host image is decomposed by Integer Wavelet Transform (IWT) and SV Decomposition (SVD) and the watermark image is then incorporated into it. This system has a much higher computational efficiency, robustness and embedding capacity compared to the existing techniques.
Keywords: Watermarking, IWT, Logistic, RSA.
Scope of the Article: Image Security

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