Volume-7 Issue-5, January 2019 – International Journal of Recent Technology and Engineering (IJRTE)

E1927017519

IJRTE Journal — Fri, 28 Oct 2022 11:28:34 +0000

A Secure Model for Hiding Multimedia Files within Two Cover Images
Najla Nazar¹, R. Satheesh Kumar², M.Rajeswari³, G. R. GnanaKing⁴
¹Najla Nazar, PG Scholar, Sahrdaya College of Engineering and Technology, Thrissur, (Kerala), India.
²Dr. R. Satheesh Kumar, Associate Professor in CSE, Sahrdaya College of Engineering and Technology, Thrissur, (Kerala), India.
³Dr. M. Rajeswari, Associate Professor in CSE, Sahrdaya College of Engineering and Technology, Thrissur, (Kerala), India.
⁴Dr. G. R. Gnana King, Associate Professor in ECE, Sahrdaya College of Engineering and Technology, Thrissur, (Kerala), India.
Manuscript received on 24 January 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 January 2019 | PP: 406-409 | Volume-7 Issue-6, March 2019 | Retrieval Number: E1927017519©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: Steganography, technology of information hiding that allows people to communicate secretly, in which actual data will be kept hidden inside the cover object. This paper deals with multimedia hiding system in which secret multimedia file is kept hidden in dual cover images. The proposed model takes the secret multimedia file and divided it among two cover images of same dimensions and size. The multimedia files are considered as a continuous byte and then it is vertically split into two halves, in which one half is the most significant half bytes, and the other half is the least significant half bytes. Then the two halves are embedded inside the two cover images using a four bit least significant replacement technique. To avoid capture of stego images by an attacker, it is expected to sent stego images separately through different channels. The secret multimedia file can be extracted by combining least significant half bytes of two stego images. The recovered secret multimedia file is similar in structure and content with original hidden multimedia file.
Keywords: Steganography; Multimedia file; Dual hiding; Cover image; Vertical splitting; Stego image.
Scope of the Article: Image Security

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E2095017519

IJRTE Journal — Fri, 28 Oct 2022 11:23:55 +0000

Intelligent Heart Disease Prediction using Neural Network
Soumonos Mukherjee¹, Anshul Sharma²
¹Soumonos Mukherjee, Department of Computer Science and Engineering VIT,Vellore, (Tamil Nadu), India.
²Anshul Sharma, Department of Computer Science and Engineering VIT,Vellore, (Tamil Nadu), India.
Manuscript received on 24 January 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 January 2019 | PP: 402-405 | Volume-7 Issue-6, March 2019 | Retrieval Number: E2095017519©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: Health-care is a field of the most needed service and an economically 2nd largest industry in 21st century. While we talk about the affordability and quality assurance in health-care industry, several statistical analysis is carried on to make health solutions more precise and flawless in this current era of increasing health problems and chronic diseases. Advancements on data driven intelligent technologies is disease diagnosis and detection, treatment and research are remarkable. Medical image analysis, symptom based disease prediction is the part where the most sought after brains are working. In this paper we aim to present our proposed model on the prediction on diagnosis of cardio vascular disease with ECG analysis and symptom based detection. The model aims to be researched and advance in further to become robust and end to end reliable research tool. We will discuss about the classical methods and algorithms implemented on CVD prediction, gradual advancements, draw comparison of performance among the existing systems and propose an enhanced multi-module system performing better in terms of accuracy and feasibility. Implementation , training and testing of the modules have been done on datasets obtained from UCI and Physionet data repositories. Data format have been modified in case of the ECG report data for betterment of action by the convolutional neural network used in our research and in the risk prediction module we have chosen attributes for training and implementing the multi-layered neural network developed by us. The further research and advancement possibilities are also mentioned in the paper.
Keywords: attribute, classification CVD(Cardio vascular disease), convolutional neural network, multi-layered neural network, Physionet, UCI (University of California,Irwin).
Scope of the Article: Classification

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E2034017519

IJRTE Journal — Fri, 28 Oct 2022 11:20:40 +0000

Blockchain and transaction Processing time using M/M/1 Queue Model
Riktesh Srivastava
Riktesh Srivastava, School of Business, Skyline University College, Sharjah, UAE.
Manuscript received on 24 January 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 January 2019 | PP: 399-401 | Volume-7 Issue-6, March 2019 | Retrieval Number: E2034017519©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 blockchain is an irrefutably a clever invention, where the digital information gets distributed across multiple nodes. The concept was hosted in bitcoin cryptocurrency systems for distribution of coins in a distributed ledger system. Introduction of smart contracts in Ethereum blockchain explored various distinct applications ranging from financial services, supply chain management, healthcare amid others. However, current set of literatures focus more on development and realization of blockchain and petite work is done on mathematical models, performance analysis and optimization of blockchain systems. In this paper, mathematical model is developed using M/M/1 queue model to evaluate transaction processing time. In M/M/1, M symbolizes Markovian arrival and departure of transactions in blocks. The arriving and departure of the blocks are denoted by symbols , µ respectively and operates under exponential assumptions. Three different conditions of , µ are taken into consideration of complete evaluation of blocks acceptance and the mathematical tactic will open a sequence of possibly favorable research in queueing theory of blockchain systems. The research founds its limitation in acceptance rate is always one unit larger than the arrivals of blocks (termed as an ergodic condition) for stable working of the complete system
Keywords: M/M/1 queue, Blockchain, Transaction processing time, Ergodicity
Scope of the Article: Natural Language Processing

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E2010017519

IJRTE Journal — Fri, 28 Oct 2022 11:17:17 +0000

Symptomatic Influence of Advancement in Technology and an Indicative Effect on Human Health
S.Bhagyashri¹, Kanimozhi.G², Umayal.C³, Xiao-Zhi Gao⁴
¹S.Bhagyashri ,School of Electrical Engineering, VIT , Chennai, (Tamil Nadu), India.
²Kanimozhi.G ,School of Electrical Engineering, VIT , Chennai, (Tamil Nadu), India.
³Umayal.C , School of Electrical Engineering, VIT , Chennai ,(Tamil Nadu), India.
⁴Xiao-Zhi Gao, School of Electrical Engineering, Aalto University, Finland.
Manuscript received on 24 January 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 January 2019 | PP: 392-398 | Volume-7 Issue-6, March 2019 | Retrieval Number: E2010017519©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: Endless human evolution had led to certain level of change in mankind. Advancement in technology has minimized human effort and time. Eluding side effects due to technology growth has direct or indirect impact on human health. One such side effect caused by electrical devices is sensitiveness to Electromagnetic (EM) waves termed as Electro Magnetic Hypersensitivity (EHS). Cause, effects, symptoms, diagnosis, and treatment of EHS is discussed in this paper. The evidence of causality of exposures in effect is evaluated by means of criteria list. Other functional impairments with similar symptoms, causes and effects are also discussed. This paper discusses the e-survey conducted on different age group affected due to the effect of EHS. Hence from a limited quantity of research in this area concludes that diagnosis and awareness of EHS need to be improved to safeguard the mankind.
Keywords: Electromagnetic waves, Hypersensitivity, Medical symptom , Radiowave sickness
Scope of the Article: Biomedical Computing

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E2061017519

IJRTE Journal — Fri, 28 Oct 2022 11:12:13 +0000

Security Issues and ANALYSING Sybil Attack Detection in VANET
K.Selvakumar¹, S.Naveen Kumar²
¹Dr.K.Selvakumar, Associate Professor, Department of Information Technology, Annamalai University, Chidambaram, (Tamil Nadu), India.
²S. Naveen Kumar, Research Scholar, Department of Computer Science and Engineering, Annamalai University, Chidambaram, (Tamil Nadu), India.
Manuscript received on 24 January 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 January 2019 | PP: 386-391 | Volume-7 Issue-6, March 2019 | Retrieval Number: E1929017519©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: As of late, the quantity of vehicles on the road has expanded tremendously. Because of high thickness and portability of nodes, conceivable dangers and road accidents are expanding. Wireless communication permits sending safety and other basic data. Vehicular Ad-Hoc Network (VANET) is an innovation which accommodates the vehicle as node to interconnect with each other through a wireless network. The essential structure goal of these applications is to serve the clients and give security of human lives amid their journey. Security is a major issue in VANET as it can be life threatening. We propose ECEDS (Elliptic Curve Encryption and Digital Signature) gives system security by utilizing a digital signature for message communicated over the system. This framework likewise used to counteract Sybil attack by limiting timestamps given by RsU at a beginning stage itself. An attacker is one of sort of end client, yet their role in the system is negative and makes issues for different segments of system. A serious attack, known as Sybil attack, against ad-hoc networks includes an attacker misguidedly asserting numerous characters. A Sybil attack delivers different messages to different nodes. Every message contains distinctive source personality. In this paper, we discusses some of the techniques put forwarded by researchers to detect Sybil attack in VANET. In this paper, we propose a Preference Batch Authentication Algorithm (PRBAA) expecting to decrease the message loss rate of nodes and Road-side Units (RsU’s). PRBAA is utilized to characterize the requests acquired from various nodes so as to furnish prompt reaction to crisis nodes with less time delay.
Keywords: Elliptic Curve Encryption and Digital Signature (ECEDS), Preference Batch Authentication Algorithm (PRBAA), Sybil Attack, Vehicular Ad-Hoc Network (VANET).
Scope of the Article: Security, Trust and Privacy

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E1969017519

IJRTE Journal — Fri, 28 Oct 2022 11:08:30 +0000

Power Aware Routing Protocol (PARP) to Reduce Energy Consumption in Wireless Sensor Networks
M Lingaraj¹, A Prakash²
¹M Lingaraj, Department of Computer Science, Sankara College of Science and Commerce, Coimbatore, (Tamil Nadu), India.
²A Prakash, Department of Computer Science, Hindusthan College of Arts & Science, Coimbatore, (Tamil Nadu), India.
Manuscript received on 24 January 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 January 2019 | PP: 380-385 | Volume-7 Issue-6, March 2019 | Retrieval Number: E1969017519©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 Wireless Sensor Network (WSN), energy consumption is a big challenge. The energy is mostly wasted by huge number of nodes even they are inactive. WSN is a collection of different technologies like embedded, processing, and communication technology. The use of WSN gets widened in the fields of health care, traffic management, monitoring of environment, and management during disaster. The main intention of research aims to analyze the WSN and propose a power aware routing protocol (PARP) to reduce consumption of energy by the wireless node in congestion. The proposed routing protocol works by constructing a multicast tree to send message to the destination with less effort and energy. In order to control multicast delivery system, this work selects the node nearest WSN node for the perfect position to the forwarding node for preserving the energy between two neighboring goals that is placed in multicast tree. This research work uses the Network Simulator version 2 (NS2) for evaluation purpose and the performance metrics as throughput, packet delivery ratio, energy consumption, and delay. The result indicate that PARP achieves its objectives in a efficient when compared with other approaches namely DACR (Distributed Adaptive Cooperative Routing) protocol and REER (Reliable Energy Efficient Routing) protocol.
Keywords: Energy, Load Balancing, Sensor, Routing, Wireless.
Scope of the Article: RF Energy Harvesting

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E2090017519

IJRTE Journal — Fri, 28 Oct 2022 10:59:54 +0000

Smart Detection of Vehicle Accidents using Object Identification Sensors with Artificial Intelligent Systems
P. Amrith¹, E. Umamaheswari², R.U. Anitha³, Devi Mani⁴, D M Ajay⁵
¹P. Amrith, VIT University Chennai, (Tamil Nadu), India.
²Dr. E. Umamaheswari, VIT University Chennai, (Tamil Nadu), India.
³Dr. R.U.Anitha, Assistant Professor, Department of Computer Science, King Khalid University, Abha, Saudi Arabia.
⁴Dr. Devi Mani, Assistant Professor, Department of Computer Science, King Khalid University, Abha, Saudi Arabia.
⁵D M Ajay, VIT University Chennai, (Tamil Nadu), India.
Manuscript received on 24 January 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 January 2019 | PP: 375-379 | Volume-7 Issue-6, March 2019 | Retrieval Number: E1929017519©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: According to Government of India, around 1,46,000 people [20] lost their lives in five hundred thousand of accidents, where 7% of lives could have been saved if they would have got medical attention before-hand [21]. This can be achieved by intimating the accident to the nearby emergency unit in minimal time by using artificial intelligence based on the severity of accidents. In existing methods, the accidents are detected using On-based unit, and transmitted to the control unit using nearby antennas, where the severity of the accidents are classified using data-mining. Then the fetched data is compared with existing accident dataset which it is retrieved from previous accidents, the analysed results are then transmitted to the nearby emergency unit [1], [2]. This will lead to ambiguous prediction of data because if the data doesn’t exist in the database, intensity of accident must be analysed manually in which it leads to increase in time complexity for transmitting the data to the nearby emergency unit due to intermediate infrastructure. To overcome these drawbacks, in this proposed system the accidents are detected using sensors and the severity of accident will be calculated using machine learning algorithms like k-means clustering and Support vector machine (SVM) classification under reinforcement learning with help of force and impact obtain while vehicle crashes, then the values are transmitted to the nearby emergency unit using Breadth-first-search in the form of A* Search algorithm
Keywords: Vehicle Accident Detection, Smart Sensors, Support Vector Machine (SVM), K-means, Reinforcement Learning, Breadth-First-Search (BFS)
Scope of the Article: Deep Learning

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E2073017519

IJRTE Journal — Fri, 28 Oct 2022 10:54:06 +0000

A Promising Light Weight Future Material – Translucent Concrete
Nadeem Gulzar Shahmir¹, Manzoor Ahmad Tantray²
¹Nadeem Gulzar Shahmir, Ph.D. Research Scholar civil engineering department, at National Institute Of Technology Srinagar (Jammu and kashmkir), India.
²Dr. Manzoor Ahmad Tantray, Professor civil engineering department, at National Institute Of Technology Srinagar (Jammu and kashmkir), India.
Manuscript received on 24 January 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 January 2019 | PP: 372-374 | Volume-7 Issue-6, March 2019 | Retrieval Number: E2073017519©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 revelation of translucent solid a few years back opened another skyline in the field of structural building. Numerous scientists chipping away at it so as to pick up the same number of uses from this imaginative innovation so as to use as vitality sparing building material that grants transmission of light into indoor condition and this solid go about as an engineering reason for good aesthetical perspective of the building. Translucent concrete is, acquired by inserting optical strands in it. This solid has light-trans missive properties because of these inserted light optical components. Light is led through the concrete from one end to the next. Contingent upon the fiber structure, these outcomes into a specific light pattern on the other surface. These strands transmit light so viably that there is supplant traditional concrete by this new and testing material. This is a creative building envelope chiefly utilized for sunlight porousness for the misty parts of outside veneers and rooftops. This solid for all intents and purposes there is no loss of light led through the filaments. Not just there is the great quality and light entry by utilizing optical filaments yet since the optical strands have less density than that of concrete thus by utilizing optical strands in concrete we get light weight concrete with adequate different properties and valuable number of uses
Keywords: Translucent concrete, Optical strands, Light weight concrete, Aesthetical view, Vitality sparing.
Scope of the Article: Optical Link Design

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E2094017519

IJRTE Journal — Fri, 28 Oct 2022 10:48:33 +0000

Analysis of Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing
R A Veer¹, L C Siddanna Gowd²
¹R A Veer, Research Scholar, Department of Electronics and Communications Engineering, Bharath Institute of Higher Education and Research, Bharath University, Chennai. (Tamil Nadu), India.
²L C Siddanna Gowd, Professor, Department of Electronics and Communications Engineering, AMS Engineering College, Namakkal, (Tamil Nadu), India.
Manuscript received on 24 January 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 January 2019 | PP: 370-371 | Volume-7 Issue-6, March 2019 | Retrieval Number: E1921017519©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: Next-generation attractive air interface solution for wireless local area networks is combination of MIMO-OFDM (Multiple-input multiple-output) with (Orthogonal frequency division multiplexing). In this research paper provides a review of the existing research of MIMO-OFDM technology by using machine learning and deep learning based on MIMO communications, channel estimation, signal detection and selection in OFDM systems, Opportunities and Challenges of Wireless Physical Layer, Physical layer channel authentication for 5G and MIMO data for machine learning application to beam selection. In this research work concludes with a discussion of relevant open areas for further research.
Keywords: Machine Learning, Wireless Physical Layer, MIMO, Deep Learning, WLANS and OFDM.
Scope of the Article: Machine Learning

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E2082017519

IJRTE Journal — Fri, 28 Oct 2022 10:44:05 +0000

Context Re-Ranking in Sketch Based Image Retrieval
Durga Prasad Kalasapati¹, Manjunathachari Kamsali², Giri Prasad Mahendra Nanjappa³
¹Durga Prasad Kalasapati, Department of ECE, JNTUA, Ananthapuramu, (A.P), India.
²Manjunathachari Kamsali, Department of ECE,GITAM University Hyderabad, (Telangana), India.
³Giri Prasad Mahendra Nanjappa, Department of ECE, JNTUA, Ananthapuramu, (A.P), India.
Manuscript received on 24 January 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 January 2019 | PP: 362-369 | Volume-7 Issue-6, March 2019 | Retrieval Number: E2082017519©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: Image retrieval based on the sketch-based descriptor is focused in this paper. The retrieval operation based on the sha pe details defined in a sketch input is used for image region descriptor and a distance based mapping approach is developed for image retrieval in a database system. The search overhead, decision accuracy and feature representation is constraint to such sketch based approach, hence in this paper, a context re-ranking model based on feedback modeling is proposed. The approach has an advantage of faster retrieval performance compared to the conventional retrieval system. The validation is made with the simulation result developed for the proposed approach over the conventional benchmark approach.
Keywords: Sketch based image retrieval, context feature, re-ranking, feedback modeling
Scope of the Article: Image Security

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