Volume-7 Issue-6S3, April 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 Thu, 13 Jul 2023 07:34:32 +0000 en-US hourly 1 https://www.ijrte.org/wp-content/uploads/2021/02/cropped-IJRTE-Logo-WS-32x32.png Volume-7 Issue-6S3, April 2019 – International Journal of Recent Technology and Engineering (IJRTE) https://www.ijrte.org 32 32 F1051376S19 https://www.ijrte.org/portfolio-item/f1051376s19/ Thu, 13 Jul 2023 07:34:32 +0000 https://www.ijrte.org/?post_type=portfolio&p=45876 The post F1051376S19 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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A Novel Prescriptive Approach for Health Care Management Using Predictive and Descriptive Analysis of Data Mining
C. Natarajan1, J. M. Gnanasekar2
1C. Natarajan, Research Scholar, Saveetha University, Chennai (Tamil Nadu), India.
2J. M. Gnanasekar, Professor, Department of Computer Science and Engineering, Sri Venkateswara College of Engineering, Chennai (Tamil Nadu), India.
Manuscript received on 24 April 2019 | Revised Manuscript received on 03 May 2019 | Manuscript Published on 07 May 2019 | PP: 261-267 | Volume-7 Issue-6S3 April 2019 | Retrieval Number: F1051376S19/2019©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: Hiking in price of healthcare leads to the ways of optimizing the care efficiency. In this paper, we present a new methodological called prescriptive analysis that makes use of predictive and modelling approaches to figure out the analytical significance of the data mining approaches in health care management. Supervised model is the process of building a confined model that emerges in prediction on target variable and unsupervised model is the process of forming sub-units of data points with similar values of all variables not only the target variable. In this paper we propose a novel fusion of supervised and un- supervised model called prescriptive approach to analyze their effectiveness when being applied to health care management. Our experimental results proves to be vital that aids in selecting the appropriate clustering method that excels in prescriptive approach for healthcare resource management according to circumstances. The experimentation were done on five bench marked data sets and these methods are found to be justified and efficaciously applied to health care resource management department.
Keywords: Clustering, Classification, Prescriptive Analysis and Healthcare Modeling.
Scope of the Article: Data Mining

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]]> F1050376S19 https://www.ijrte.org/portfolio-item/f1050376s19/ Thu, 13 Jul 2023 07:26:08 +0000 https://www.ijrte.org/?post_type=portfolio&p=45874 The post F1050376S19 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Target Object Detection algorithm using Wireless Sensor Network
A. Selvi1, C.Thilagavathi2
1A. Selvi, Assistant Professors, Department of IT, M. Kumarasamy College of Engineering, Karur (Tamil Nadu), India.
2C. Thilagavathi, Assistant Professors, Department of IT, M. Kumarasamy College of Engineering, Karur (Tamil Nadu), India.
Manuscript received on 24 April 2019 | Revised Manuscript received on 03 May 2019 | Manuscript Published on 07 May 2019 | PP: 256-261 | Volume-7 Issue-6S3 April 2019 | Retrieval Number: F1050376S19/2019©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: Object Detection in wireless sensor network (WSN) plays an important role surveillance application. In existing, a targeting object framework called Face Tracking is used for object detection. A polygon region called face, that is used for is constructing and detecting objects. The nodes that are grouped inside a face can communicate only among them. Edge recognition calculation is utilized to discover an edge discovery calculation is utilized, in which two hubs are associated has the best inclusion territory. An Optimal selection algorithm is used to select the nodes which can track the target with less energy usage. But if the target moves out of coverage area or if energy of the tracking node becomes low then the target may not be tracked exactly. To overcome this problem, a tracking scheme, called t-Tracking is proposed with an objective to achieve quality of tracking (QoT). Distributed tracking algorithm sends queries about the energy level and coverage area, to all the nodes in the face in which the target has to be tracked next. Based on the reply from all nodes, a node with best energy level and coverage area node will be selected for target tracking. Since a best node is selected, target can be tracked with accuracy.
Keywords: Wireless Sensor Network (WSN), Distributed Tracking Algorithm and t-Tracking.
Scope of the Article: Wireless ad hoc & Sensor Networks

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]]> F1049376S19 https://www.ijrte.org/portfolio-item/f1049376s19/ Thu, 13 Jul 2023 07:20:23 +0000 https://www.ijrte.org/?post_type=portfolio&p=45872 The post F1049376S19 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Smart Agriculture Using IoT and Cloud Computing
M. Sowmiya1, S. Prabavathi2
1M. Sowmiya, Department of IT, M. Kumarasamy College of Engineering, Karur (Tamil Nadu), India.
2S. Prabavathi, Department of IT, M. Kumarasamy College of Engineering, Karur (Tamil Nadu), India.
Manuscript received on 24 April 2019 | Revised Manuscript received on 03 May 2019 | Manuscript Published on 07 May 2019 | PP: 251-255 | Volume-7 Issue-6S3 April 2019 | Retrieval Number: F1049376S19/2019©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: Internet of things is the most advanced concept in the modern internet era. It provides support to probably all the domains on the Globe. Agriculture is one of such domains, which makes use of the IoT for making the agriculture smart. Several applications of IoT are evident in the field of Agriculture for the unimaginable benefits of farmers which in turn for the successful development of the nation. This paper reveals an analyzes of potential applications of IoT in the field of Agriculture for the essential improvement of the farmers to better crop cultivation.
Keywords: Internet of Things, Smart Agriculture.
Scope of the Article: Cloud Computing

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]]> F1048376S19 https://www.ijrte.org/portfolio-item/f1048376s19/ Thu, 13 Jul 2023 07:14:22 +0000 https://www.ijrte.org/?post_type=portfolio&p=45869 The post F1048376S19 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Resistivity and Response Time of Undoped ZnO and Cu Doped ZnO Thin Films for NO2 gas Sensing
J. Sounder1, P. Gowthaman2, M. Venkatachalam3, M. Saroja4
1J. Sounder, Thin Film Centre, Department of Electronics, Erode Arts and Science College, Erode (Tamil Nadu), India.
2P. Gowthaman, Assistant Professor, Department of Electronics, Erode Arts and Science College, Erode (Tamil Nadu), India.
3M. Venkatachalam, Associate Professor, Department of Electronics, Erode Arts and Science College, Erode (Tamil Nadu), India.
4M. Saroja, Department of Electronics, Erode Arts and Science College, Erode (Tamil Nadu), India.
Manuscript received on 24 April 2019 | Revised Manuscript received on 03 May 2019 | Manuscript Published on 07 May 2019 | PP: 245-250 | Volume-7 Issue-6S3 April 2019 | Retrieval Number: F1048376S19/2019©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 preparation of Zinc Oxide thin film with dip coating of gas sensing methods are we discuss in this paper .For sol gel preparation the researcher using Zinc Nitrate hexahydrate (Zn (NO3)2 .6 H2o) and organic polymer sodium carboxyl methyl cellulose (Na-CMC) as basic material from the size of the prepared thin film varied by XRD, morphology was studied by (FE-SEM) and the gas sensing was studied using acetaldehyde has been tested. The gas sensor parameter such as response selectivity, response/recovery time towards NO 2 was reported.
Keywords: ZNO, Na-CMC, Sol- Gel Dip Coating, Thin Film, NO2 Sensors.
Scope of the Article: Innovative Sensing Cloud and Systems

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]]> F1047376S19 https://www.ijrte.org/portfolio-item/f1047376s19/ Thu, 13 Jul 2023 07:06:01 +0000 https://www.ijrte.org/?post_type=portfolio&p=45867 The post F1047376S19 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Pso and Fpo Based Optimization in Tuning Mpc of Wsn Model For Maximum Energy Harvesting
S. Thiyagarajan1, P. Gowthaman2, M. Venkatachalam3, M. Saroja4
1S. Thiyagarajan, Department of Electronics Science, Jaya College of Arts and Science, Chennai (Tamil Nadu), India.
2P. Gowthaman, Department of Electronics, Erode Arts and Science College, Erode (Tamil Nadu), India.
3M. Venkatachalam, Department of Electronics Science, Jaya College of Arts and Science, Chennai (Tamil Nadu), India.
4M. Saroja, Department of Electronics, Erode Arts and Science College, Erode (Tamil Nadu), India.
Manuscript received on 24 April 2019 | Revised Manuscript received on 03 May 2019 | Manuscript Published on 07 May 2019 | PP: 235-262 | Volume-7 Issue-6S3 April 2019 | Retrieval Number: F1047376S19/2019©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 reduction of the energy consumption compensated by harvesting RF energy of a WSN using techniques realized to practical extent, considering numerous forced limitations. In scheming energy harvesting regulation, techniques were suggested on control methods. The techniques reserved must promise in such a way the limitations forced by the utility with regard to quantity of acquired data are attained, whereas the lifetime of the network is prolonged, in contrast to present and simple arraying. In several such arraying, the controller for supervising, managing acquires more unnecessary estimations, or estimations that are intensely mutual from the nodes. Hence, control techniques have to be schemed for efficient energy harvest considering the utility demands through volume of estimations from data. Amidst several control techniques, model predictive control (MPC) is a part of important controlling methods. It has several effective uses. This paper contrasts MPC method for automated tuning with particle swarm optimization (PSO) and flower pollination optimization (FPO). The major confrontation of MPC is in tuning of control factors for several WSN targets, and PSO or FPO application for automated tuning may become member of solutions. MPC tuning issue is an optimization challenge. Optimization methods like PSO or FPO can be utilized. PSO and FPO are meta-exploratory approaches that are familiar to explore a global optimal solution rather at a higher proportion and without using ascent. The computational results for energy harvest of WSN reveal the influence of the suggested PSO and FPO dependent tuning.
Keywords: Wireless Sensor Networks, Model Predictive Control, Feedback Tuning, Energy Harvesting, Particle Swarm Optimization, Flower Pollination Optimization.
Scope of the Article: Energy Harvesting and Transfer for Wireless Sensor Networks

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]]> F1046376S19 https://www.ijrte.org/portfolio-item/f1046376s19/ Thu, 13 Jul 2023 06:55:27 +0000 https://www.ijrte.org/?post_type=portfolio&p=45865 The post F1046376S19 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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GTCM Based Skin Lesion Melanoma Disease Detection Approach for Optimal Classification of Medical Images
K. Muthukumar1, P. Gowthaman2, M. Venkatachalam3, M. Saroja4, N. Pradheep5
1K. Muthukumar, Research Scholar, Department of Electronics, Erode Arts and Science College, Erode (Tamil Nadu), India.
2P. Gowthaman, Assistant Professor, Department of Electronics, Erode Arts and Science College, Erode (Tamil Nadu), India.
3L. Venkatachalam, Associate Professor, Department of Electronics, Erode Arts and Science College, Erode (Tamil Nadu), India.
4M. Saroja, Associate Professor, Department of Electronics, Erode Arts and Science College, Erode (Tamil Nadu), India.
5N. Pradheep, Research Scholar, Department of Electronics, Erode Arts and Science College, Erode (Tamil Nadu), India.
Manuscript received on 24 April 2019 | Revised Manuscript received on 03 May 2019 | Manuscript Published on 07 May 2019 | PP: 228-234 | Volume-7 Issue-6S3 April 2019 | Retrieval Number: F1046376S19/2019©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 medical image classification plays vital role in the detection of various diseases. Number of approaches available for the detection of skin lesion melanoma but suffers to achieve higher performance. Towards this issue, a GTCM (Gray-Texture-Covariance-measure) based melanoma detection approach is presented in this paper. The method reads the input skin image and enhances by applying multi level gray filters. From the enhanced image, the method extracts gray features and texture features. The texture features of the lesion have been extracted based on the gray covariance matrix generated. Extracted features has been converted into GTC matrix and based on the values of GTC, the method estimates the GTCM measure towards the available training set. Finally based on the similarity of GTCM, the method estimates the GTC lesion strength to perform detection of melanoma. The method improves the performance of melanoma detection and reduces the false classification ratio.
Keywords: Skin Lesion, Melanoma, Medical Imaging, Image Classification, GTC.
Scope of the Article: Image Security

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]]> F1045376S19 https://www.ijrte.org/portfolio-item/f1045376s19/ Thu, 13 Jul 2023 06:46:39 +0000 https://www.ijrte.org/?post_type=portfolio&p=45863 The post F1045376S19 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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The Performance Evaluation of Various Security Techniques in Data Aggregation Model for Big Data
K. Meenakshisundaram1, M. Menaka2
1K. Meenakshisundaram, Associate Professor, Department of CS, Erode Arts and Science College, Erode (Tamil Nadu), India.
2M. Menaka, Research Scholar, Department of CS, Erode Arts and Science College, Erode (Tamil Nadu), India.
Manuscript received on 24 April 2019 | Revised Manuscript received on 03 May 2019 | Manuscript Published on 07 May 2019 | PP: 223-227 | Volume-7 Issue-6S3 April 2019 | Retrieval Number: F1045376S19/2019©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: Big Data is defined as a collection of huge size of data sets with different types. It brings some problems like privacy preserving problem and security risk. Event-Role-Attribute based Access Control mechanism was used to ensure the end to end security. It created a flexible boundary with the consideration of event, role and attribute to access the data. Then the data were encrypted by Anonymous Multi-Hop Identity Based Conditional Proxy Re-Encryption (AMH-IBCPRE) where a ciphertext was conditionally and securely shared multiple times without disclosing the identity information of ciphertext senders or recipients and knowledge of underlying message. The problem of high computational complexity and high storage capacity due to the duplicate cipher data was sorted out by a de-duplication technique called Verfiable Hash Convergent Group Signcryption (VHCGS). In this paper, Enhanced Conditional Proxy Re-encryption with Data Aggregation and Masking (ECPR-DAM) and Enhanced Conditional Proxy Re-encryption with Verifiable hash convergent group Signcryption, Data Aggregation and Masking (ECPRVS-DAM) are proposed for data aggregation and data security. The data aggregation model aggregate the data which is the response to maintain the ever improving demands of Big Data. In the process of data aggregation, Fibonacci search is used instead of dichotomic search. Because the Fibonacci search is reducing the average time required to access a location of data. Moreover, a watermarking construction is introduced to enhance the security of Big Data. The watermarking construction provides synchronization marks in the aggregated data and helps protect the data itself at the end points. It improves the big data security. The experimental results prove the effectiveness of the proposed ECPR-DAM and ECPRVS-DAM methods over existing method in terms of storage cost, retrieval time and search time.
Keywords: Big Data; Data Aggregation; Fibonacci Search; Watermarking Construction.
Scope of the Article: Big Data Networking

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]]> F1044376S19 https://www.ijrte.org/portfolio-item/f1044376s19/ Thu, 13 Jul 2023 06:38:30 +0000 https://www.ijrte.org/?post_type=portfolio&p=45861 The post F1044376S19 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Herbicidal Activity against the Common Weed Peperomia Wightiana and Synthesis of Chitosan Nanoparticals
Chandra Mohan. A1, Divya. S. R2, Vijayalakshmi T3, Kavitha. R2
1A. Chandra Mohan, Professor, Department of Biochemistry, Annai Violet College, Chennai (Tamil Nadu), India.
2S. R. Divya, Assistant Professor, Department of Biotechnology, Jaya College, Chennai (Tamil Nadu), India.
3R. Kavitha, Assistant Professor, Department of Biotechnology, Jaya College, Chennai (Tamil Nadu), India.
4T. Vijayalakshmi, Research Scholar, Department of Biotechnology, Jaya College, Chennai (Tamil Nadu), India.
Manuscript received on 24 April 2019 | Revised Manuscript received on 03 May 2019 | Manuscript Published on 07 May 2019 | PP: 219-222 | Volume-7 Issue-6S3 April 2019 | Retrieval Number: F1044376S19/2019©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 microbes and their secondary metabolites can be used instead of chemical herbicides as bioherbicides. Nanotechnology is one the promising field of research opens up in the present decade a wide array of opportunities in the present decade and is expected to give major impulses to technical innovations in a variety of industrial sectors in the future The present study was more focused on Mycoherbicides against the weed and wildly grown plant Peperomia wightiana which was vastly spreaded over Maharastra in India. And over the other commonly found weed Amaranthus retroflexus grows in gardens, railways and many other places. To improved the herbicidal activity of herbicidal protein with nanoencapsulation using chitosan maicrocapsules against weed. Characterization of this herbicidal protein, mass production, formulation and herbicidal activity on other economic weeds.
Keywords: Peperomia Wightiana, Fusarium Oxysporum 07, SDS PAGE and Chitosan Nanoparticals.
Scope of the Article: Automated Software Design and Synthesis

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]]> F1043376S19 https://www.ijrte.org/portfolio-item/f1043376s19/ Thu, 13 Jul 2023 06:29:03 +0000 https://www.ijrte.org/?post_type=portfolio&p=45859 The post F1043376S19 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Design and Implementation of Sequential Circuit Based on Low Power Using 45nm Technology
S. Mohamedsulaiman1, B. Jaison2, M. Anto Bennet3, Yacooprahman. S4, Shanmugapriyan V5, Albert Santhosh Raj. j6, Sathishkumar. V7
1Mohamed Sulaiman, Assistant Professor, Department of Electronics & Communication Engineering, Vel Tech, Chennai (Tamil Nadu), India.
2Jaison, Associate Professor, Department of CSE, RMK Engineering College, (Tamil Nadu), India.
3Anto Bennet, Professor, Department of Electronics & Communication Engineering, Vel Tech, Chennai (Tamil Nadu), India.
4Yacoop Rahman. S, UG Student, Department of Electronics and Communication Engineering, Vel Tech, Chennai (Tamil Nadu), India.
5Shanmuga Priyan V, UG Student, Department of Electronics and Communication Engineering, Vel Tech, Chennai (Tamil Nadu), India.
6Albert Santhosh Raj J, UG Student, Department of Electronics and Communication, Vel Tech, Chennai (Tamil Nadu), India.
7Sathish Kumar. V, UG Student, Department of Electronics and Communication Engineering, Vel Tech, Chennai (Tamil Nadu), India.
Manuscript received on 24 April 2019 | Revised Manuscript received on 03 May 2019 | Manuscript Published on 07 May 2019 | PP: 212-217 | Volume-7 Issue-6S3 April 2019 | Retrieval Number: F1043376S19/2019©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: A low power voltage CMOS frequency divider using power gating technique, that’s why it reduces the overall power consumption of circuit and increases the efficiency of circuit. .A memory element consumes 70 percent of total power in an integrated circuit. As flip-flops are the main area of memory elements used on any portable device, the major concern to reduce flip-flop energy consumption will help reduce power consumption in an I In we designed a flip-flop using CMOS logic; it consumes less energy than conventional gates designed. Transistors switching occurs when input and clock is applied. proposed clocked D flip-flop is used in frequency divider circuit .The frequency divider is design by use the technique of low power CMOS designs. Here number of transistor is reduced in proposed and demonstrate various parameters and shows reduced leakage power , Delay andnoise margin of the circuit to analyze its performance in 45nm technology with power gating and pass transistor technology. The simulation results were done with cadence tool virtuoso environment at room temperature 27ºC with various supply voltage ranges (0.7 to 1.2 V).
Keywords: Frequency Divider, Set Value, XOR Gate, T Flip Fop, Leakage Power, Area, Delay, 45nm Technology, Cadence.
Scope of the Article: Low-power design

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]]> F1042376S19 https://www.ijrte.org/portfolio-item/f1042376s19/ Thu, 13 Jul 2023 06:13:52 +0000 https://www.ijrte.org/?post_type=portfolio&p=45856 The post F1042376S19 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Video Pressure Utilizing Edge Identification Procedure
V. Mahalakshmi1, K. Sandhiya2, M. Sowmiya3, K.R. Swetha4, V. Lokeshwari5, M. AntoBennet6
1V. Mahalakshmi, Assistant Professor, Department of Electronics and Communication Engineering, Vel Tech, Chennai (Tamil Nadu), India.
2K. Sandhiya, UG Student, Department of Electronics and Communication Engineering, Vel Tech, Chennai (Tamil Nadu), India.
3M. Sowmiya, UG Student, Department of Electronics and Communication Engineering, Vel Tech, Chennai (Tamil Nadu), India.
4K.R. Swetha, UG Student, Department of Electronics and Communication Engineering, Vel Tech, Chennai (Tamil Nadu), India.
5V. Lokeshwari, UG Student, Department of Electronics and Communication Engineering, Vel Tech, Chennai (Tamil Nadu), India.
6M. Anto Bennet, Professor, Department of Electronics and Communication Engineering, Vel Tech, Chennai (Tamil Nadu), India.
Manuscript received on 24 April 2019 | Revised Manuscript received on 03 May 2019 | Manuscript Published on 07 May 2019 | PP: 208-211 | Volume-7 Issue-6S3 April 2019 | Retrieval Number: F1042376S19/2019©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: Antiques expulsion is a vital video reclamation innovation that intends to expel irritating cloudiness particles from pictures. In any case, the efficacies of conventional curios strategies are effectively frustrated by lacking estimation of murkiness thickness, and along these lines can’t viably give palatable ancient rarities expulsion results. Here we propose an edge breakdown based antiquities evacuation calculation by which to powerfully fix the transmission guide and we applying by the edge discovery and subsequently accomplish acceptable perceivability reclamation. Trial results utilizing subjective and quantitative assessments exhibit that the ancient rarities evacuation capacity of the proposed edge breakdown based antiques expulsion strategies is fundamentally better than those of other condition of-the-curio techniques.
Keywords: MPEG, Ancient Rarities Evacuation, Edge Identification.
Scope of the Article: Distributed Mobile Applications Utilizing IoT

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