Volume-5 Issue-6, January 2017 – International Journal of Recent Technology and Engineering (IJRTE)

F1645015617

IJRTE Journal — Wed, 02 Nov 2022 05:25:59 +0000

Solar Powered Street Sweeping Mechanism for Clean India
G. Ganesan Subramanian¹, V. Mohan², S. Sivamani³, G. Sundaravadivel⁴
¹G. Ganesan Subramanian, Department of Electronics and Electrical Engineering, E.G.S. Pillay Engineering College, Nagapattinam (Tamil Nadu). India.
²Dr. V. Mohan, Department of Electronics and Electrical Engineering, E.G.S. Pillay Engineering College, Nagapattinam (Tamil Nadu). India.
³S. Sivamani, Department of Electronics and Electrical Engineering, E.G.S. Pillay Engineering College, Nagapattinam (Tamil Nadu). India.
⁴G. Sundaravadivel, Department of Mechanical, E.G.S. Pillay Engineering College, Nagapattinam (Tamil Nadu). India.
Manuscript received on 23 January 2017 | Revised Manuscript received on 30 January 2017 | Manuscript published on 30 January 2017 | PP: 11-15 | Volume-5 Issue-6, January 2017 | Retrieval Number: F1645015617©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: “Cleanliness is next to Godliness”- A proverb which points the most aspect of cleanliness in every proper civilization. For the last two decades, an increase in awareness towards environmental degradation due to pollution in various forms through dust particles, runoff water, improper sanitation , waste products such as plastic products etc., In order to enhance the cleanliness of surroundings , a design of electric vehicle that can both maintain operational efficiency and stick to its task. A multi operational task of sweeping mechanism, vacuum cleaning mechanism, pick and place mechanism is being adopted to ensure the work conventionally done with different a novel method which harnessing renewable energy sources, a sweeper machine which operates in solar that could be used for Industrial sectors and for public. A prototype setup is being arranged to do the specified task and corresponding time periods are noted down for each module which ensures the environment clean.
Keyword: Brushless DC motor (BLDC), Motor Circuit (MC), Sweeper circuit(SC), Vacuum circuit(VC), Pick and Place Mechanism (PPM)
Scope of the Article: Mechanical Design

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F1643015617

IJRTE Journal — Wed, 02 Nov 2022 05:19:28 +0000

User-Defined Privacy Grid System for Continuous Location-Based Services
Jyoti Pawar¹, G.P. Chakote²
¹Jyoti Ganeshrao Pawar, M. Tech, Department of Computer Science & Engineering, Matsyodari Shikshan Sansthas College of Engineering and Technology, Aurangabad (Maharashtra)-431203. India.
²G.P. Chakote, Head of Department Computer Science & Engineering, Matsyodari Shikshan Sansthas College of Engineering and Technology, Aurangabad (Maharashtra)-431203. India.
Manuscript received on 23 January 2017 | Revised Manuscript received on 30 January 2017 | Manuscript published on 30 January 2017 | PP: 7-10 | Volume-5 Issue-6, January 2017 | Retrieval Number: F1643015617©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: Location-based services (LBS) require users to continually report their location to a potentially unreliable server to obtain services based on location, which may expose them to confidentiality risks. Unfortunately, existing privacy techniques have several limitations, such as the requirement of a fully reliable third party offering limited privacy and high communication overhead. In this paper, we propose a user-defined privacy grid system called a dynamic grid system (DGS); The first holistic system that meets four essential requirements for the preservation of instant and continuous privacy LBS. (1) The system requires only a trusted third party responsible for the proper execution of the matching operations. This semi-reliable third party has no information about a user’s location. (2) Secure confidentiality and continued site confidentiality are warranted in our defined opponent models. (3) The cost of communication for the user does not depend on the level of confidentiality desired by the user, it depends only on the number of relevant points of interest near the user. (4) Although we only focus on range and k-neighbor-neighbor queries in this work, our system can be extended to support spatial queries without modifying the algorithms executed by the semi-reliable third party and The database server, the search area required for a spatial query can be extracted into spatial regions. The experimental results show that our DGS is more efficient than the state-of-the-art privacy technology for continuous LBS.
Keyword: Location Based Service (LBS), Dynamic Grid System (DGS), Confidentiality, Privacy Technologys.
Scope of the Article: Addressing & Location Management

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F1644015617

IJRTE Journal — Wed, 02 Nov 2022 05:14:02 +0000

A Novel Method for Vehicle Detection using Edge Detection and Fuzzy Logic Based Algorithm
M. Jansirani¹, P. Sumitra²
¹Mrs. M. Jansirani, Ph.D Scholar, Department of Computer Science, Vivekanandha College of Arts and Sciences for Women (Autonomous), Elayampalayam (Tiruchengode)–637205. India.
²Dr. P. Sumitra, Professor, Department of Computer Science, Vivekanandha College of Arts and Sciences for Women (Autonomous), Elayampalayam (Tiruchengode)–637205. India.
Manuscript received on 23 January 2017 | Revised Manuscript received on 30 January 2017 | Manuscript published on 30 January 2017 | PP: 4-6 | Volume-5 Issue-6, January 2017 | Retrieval Number: F1644015617©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: Vehicles moving on road are of importance because problems like traffic congestion, economic waste, jamming on the underpasses and over-bridges (if the vehicle passing through is not of the permissible size) are associated with them. These problems can be dealt with by using various morphological processes based image processing techniques to detect the vehicles. In this thesis, the images of moving and still vehicles have been taken and an algorithm is used for vehicle detection which is based on image processing techniques and classification of vehicles in the form of natural description based on fuzzy logic such as classification based on area and circumference using Fuzzy Logic. To perform classification, fuzzification of area and circumference is done and each vehicle type (e.g. small, medium and big) is assigned a measurement range of values by designing fuzzy rules and finally defuzzification is done. Edge detection is considered to be fundamental step in the field of image processing and computer vision. There are 3 types of discontinuities in a digital image: point, line, edge. The most common way is to use spatial masks which have properties to detect these discontinuities. More than isolated points and lines detecting edges are important because they form an important part of image segmentation. Edge detection is basically a method of segmenting an image into regions based on discontinuity, enhancing the presence of these discontinuities in the image allows us to improve the perceived image quality under certain conditions. Edge detection makes use of differential operators to detect changes in the gradients of the grey or color levels in the image. Edge detection is divided into two main categories: firstorder edge detection, example for first order edge detection are Sobel, Robert, Perwitt and second-order edge detection, example for second order edge detection are Laplacian and Canny. Image edge is often buried by noise, so it‘s necessary to research edge detection algorithm. Since traditional edge detection like Sobel, Perwitt, Robert operator are sensitive noise, to overcome that problem, some new algorithm is applied in edge detection such as Canny, Morphology, Neural network and Fuzzy logic. This is to be implemented in MATLAB. Fuzzy logic is one of the new methods and it was based on set theory. Fuzzy logic based algorithm is very efficient and flexible to detect the edges of vehicle in an input image by scanning it through the 2*2 mask. The main benefit of fuzzy set theory is able to model the ambiguity and the uncertainty.
Keyword: Fuzzy Logic, MATLAB., Neural network and Fuzzy logic
Scope of the Article: Fuzzy logic

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F1640015617

IJRTE Journal — Wed, 02 Nov 2022 05:09:54 +0000

A Survey on Intrusion Detection Technique over the Web Data
Bhagwat P. Dwivedi¹, Shiv Kumar², Babita Pathik³
¹Bhagwat P. Dwivedi, M.Tech. Scholar, Department of Computer Science and Engineering, Lakshmi Narain College of Technology Excellence, R.G.P.V. University, Bhopal (M.P)-462021, India.
²Dr. Shiv Kumar, Professor & Head, Department of Computer Science and Engineering, Lakshmi Narain College of Technology Excellence, R.G.P.V. University, Bhopal (M.P)-462021, India.
³Babita Pathik, Assistant Professor, Department of Computer Science and Engineering, Lakshmi Narain College of Technology Excellence, R.G.P.V. University, Bhopal (M.P)-462021, India.
Manuscript received on 23 January 2017 | Revised Manuscript received on 30 January 2017 | Manuscript published on 30 January 2017 | PP: 1-3 | Volume-5 Issue-6, January 2017 | Retrieval Number: F1640015617©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 intrusion detection systems (IDSs) generate large number of alarms most of which are false positives. Fortunately, there are reasons for triggering alarms where most of these reasons are not attacks. In this work, a new data mining technique has been developed to group alarms and to produce clusters. we have monitored a paper IDS over web mining – up approach which is efficient and determined to visualized the intrusion data and optimize according to the user requirement and monitored the data efficiently, here we would like to further enhance research work on analyzing and using the entropy data as input and to use them in technique to visualize and to optimize according to the user requirement in the web entropy visualization.
Keywords: Network intrusion, web mining scenario, web intrusion data, Data Mining Algorithms.
Scope of the Article: Data Mining

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