Volume-11 Issue-11, October 2023 – International Journal of Emerging Science and Engineering (IJESE) https://www.ijese.org Exploring Innovation | ISSN: 2319–6378(Online) | A Periodical Journal | Reg. No.: C/1383209 | Published by BEIESP Wed, 02 Jul 2025 12:26:37 +0000 en-US hourly 1 https://wordpress.org/?v=7.1.3 https://www.ijese.org/wp-content/uploads/2020/06/cropped-IJESE-Logo2s-32x32.jpg Volume-11 Issue-11, October 2023 – International Journal of Emerging Science and Engineering (IJESE) https://www.ijese.org 32 32 K255510111123 https://www.ijese.org/portfolio-item/k255510111123/ https://www.ijese.org/portfolio-item/k255510111123/#respond Thu, 26 Oct 2023 12:23:20 +0000 https://www.ijese.org/?post_type=portfolio&p=7205 The International Journal of Emerging Science and Engineering (IJESE) is an open-access, peer-reviewed, monthly international journal with an ISSN 2319-6378 (online). It is published by the Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) periodically in January, February, March, April, May, June, July, August, September, October, November, and December since 2012.
The International Journal of Emerging Science and Engineering (IJESE) aspires to circulate top-notch, peer-reviewed original articles in Engineering and Technology, shrouding Computer Science and Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering, and all related interdisciplinary associates.

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]]> The International Journal of Emerging Science and Engineering (IJESE) is an open-access, peer-reviewed, monthly international journal with an ISSN 2319-6378 (online). It is published by the Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) periodically in January, February, March, April, May, June, July, August, September, October, November, and December since 2012.
The International Journal of Emerging Science and Engineering (IJESE) aspires to circulate top-notch, peer-reviewed original articles in Engineering and Technology, shrouding Computer Science and Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering, and all related interdisciplinary associates.

A Survey on Various Approaches for Support Vector Machine Based Engineering ApplicationsCROSSMARK Color horizontal
Khushboo Nagar1, M.P.S. Chawla2

1Khushboo Nagar, Assistant Professor, Department of Electrical Engineering, Shri G. S. Institute of Technology & Science, Indore (M.P), India.

2M.P.S. Chawla, Associate Professor, Department of Electrical Engineering, Shri G. S. Institute of Technology & Science, Indore (M.P), India.

Manuscript received on 12 September 2023 | Revised Manuscript received on 21 September 2023 | Manuscript Accepted on 15 October 2023 | Manuscript published on 30 October 2023 | PP: 6-11 | Volume-11 Issue-11, October 2023 | Retrieval Number: 100.1/ijese.K255510111123 | DOI: 10.35940/ijese.K2555.1011112

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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: Support vector machines describe a system that uses a feature space with a hypothesis space of linear functions that is trained using various learning algorithms from optimization theory. This paper provides a brief introduction to SVM and a survey of different methods applied to obtain results using classifiers. The aim is to classify and get results for other classes of points using various SVM classifiers and to justify the results using methods such as Gaussian Kernel and Custom Kernel, as well as Cross-Validation to assess the functioning of SVM classifiers through Posterior Probability Regions for SVM classification models with different types of data.

Keywords: Support Vector Machine, Optimization Algorithms, Classifiers, Hyperplane, SVM Application, Pattern Recognition, Face Detection
Scope of the Article: Support Vector Machine

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]]> https://www.ijese.org/portfolio-item/k255510111123/feed/ 0 F42660812623 https://www.ijese.org/portfolio-item/f42660812623/ https://www.ijese.org/portfolio-item/f42660812623/#respond Thu, 26 Oct 2023 12:19:16 +0000 https://www.ijese.org/?post_type=portfolio&p=7202 The International Journal of Emerging Science and Engineering (IJESE) is an open-access, peer-reviewed, monthly international journal with an ISSN 2319-6378 (online). It is published by the Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) periodically in January, February, March, April, May, June, July, August, September, October, November, and December since 2012.
The International Journal of Emerging Science and Engineering (IJESE) aspires to circulate top-notch, peer-reviewed original articles in Engineering and Technology, shrouding Computer Science and Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering, and all related interdisciplinary associates.

The post F42660812623 appeared first on International Journal of Emerging Science and Engineering (IJESE).

]]> The International Journal of Emerging Science and Engineering (IJESE) is an open-access, peer-reviewed, monthly international journal with an ISSN 2319-6378 (online). It is published by the Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) periodically in January, February, March, April, May, June, July, August, September, October, November, and December since 2012.
The International Journal of Emerging Science and Engineering (IJESE) aspires to circulate top-notch, peer-reviewed original articles in Engineering and Technology, shrouding Computer Science and Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering, and all related interdisciplinary associates.

Engine Oil Impurities and level Monitoring SystemCROSSMARK Color horizontal
Birali Prasanthi1, Komirishetty Saiteja2, Kakumani Sravya3

1Birali Prasanthi, Department of Computer Science Engineering, Mahatma Gandhi Institute of Technology, Hyderabad (Telangana), India.

2Komirishetty Saiteja, Department of Computer Science Engineering, Mahatma Gandhi Institute of Technology, Hyderabad (Telangana), India.

3Kakumani Sravya, Department of Computer Science Engineering, Mahatma Gandhi Institute of Technology, Hyderabad (Telangana), India.

Manuscript received on 24 July 2023 | Revised Manuscript received on 06 October 2023 | Manuscript Accepted on 15 October 2023 | Manuscript published on 30 October 2023 | PP: 1-5 | Volume-11 Issue-11, October 2023 | Retrieval Number: 100.1/ijese.F42660812623 | DOI: 10.35940/ijese.F4266.10111123

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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 key element for the mechanics of every vehicle, whether it is a 2-wheeler, 3-wheeler, 4-wheeler, or so on, requires engine oil to work smoothly. The primary function of engine oil is to lubricate the moving elements of engines, which are constantly subjected to friction. As a result, friction is decreased, which tends to diminish the longevity of engine parts. During combustion, energy is wasted, and mechanical parts rubbing against one another raise the engine temperature. With increased usage, the engine undergoes considerable wear and tear, resulting in the accumulation of impurities in the oil. The project describes the design and development of an IoT-based instrument for monitoring oil impurity levels, along with its operational methodology. This project employs a novel approach utilising LED spectrophotometry. The developed instrument in the project will conduct both qualitative and quantitative assessments of lubricant oil in the IC engine’s sump. This, in turn, enables taking decisive actions to mitigate ecological emissions and extend the engine life cycle.

Keywords: Arduino, Engine oil, IOT, LED, Light dependent resistor, Spectroscopy.
Scope of the Article: IoT

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